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Thors V, Vias RD, Björnsdóttir K, Palsdottir EB, Guðfinnsdóttir GK, Haraldsson A. Influenza vaccine effectiveness in Iceland 2014-2022: A test-negative design. Vaccine 2025; 55:126981. [PMID: 40112556 DOI: 10.1016/j.vaccine.2025.126981] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2024] [Revised: 02/01/2025] [Accepted: 02/28/2025] [Indexed: 03/22/2025]
Abstract
INTRODUCTION Annual influenza epidemics cause heavy disease burden, particularly in children and frail individuals. One of the available preventive measures is vaccination although the vaccine effectiveness is inconsistent. The aim of this study was to evaluate the effectiveness of influenza vaccination (IVE) in Iceland during seven influenza seasons. METHODS The study population consisted of all individuals tested for influenza during each season from week 40 to week 20 of the following year and data was collected from 2014 to 2022 using national registries. A test-negative design was used to estimate vaccine effectiveness, calculated as (1 - OR) × 100 %, where OR is the odds ratio of vaccination in test-positive cases relative to test-negative controls, including age group classification. Analysis was done for all studied influenza seasons apart from 2020 to 21 when no influenza cases were detected. RESULTS Confirmed influenza cases were 2929 of which 781 were in children and 1192 in patients older than 60 years. Influenza A, H3N2 was most common. The overall vaccine effectiveness (IVE) was 28.1 % (95 % CI: 20.2-35.3). For children, the VE was 61.1 % (95 % CI:40.6-74.5), for all adults 27.0 % (95 % CI: 18.5-34.6), and for people aged 60 years and older, 14.8 % (95 % CI 1.4-26.3). The IVE was highest in the 2015-16 season and lowest in 2016-17. DISCUSSION Influenza epidemics in Iceland are similar to other neighbouring countries and infections are common in children. VE varies between seasons, probably at least partly due to vaccine strain mismatch. Despite low VE in several seasons, it can be assumed that thousands of influenza cases were averted. Targeting high vaccine coverage in young children may be an effective way of preventing disease and transmission.
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Affiliation(s)
- Valtyr Thors
- University of Iceland, Faculty of Medicine, Iceland; Children's Hospital Iceland, Landspitali University Hospital, Iceland.
| | - Rafael Daniel Vias
- University of Iceland, Faculty of Medicine, Iceland; Landspitali University Hospital, Department of Science/Biostatistics
| | | | | | | | - Asgeir Haraldsson
- University of Iceland, Faculty of Medicine, Iceland; Children's Hospital Iceland, Landspitali University Hospital, Iceland
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2
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Kissling E, Maurel M, Emborg HD, Whitaker H, McMenamin J, Howard J, Trebbien R, Watson C, Findlay B, Pozo F, Bolt Botnen A, Harvey C, Rose A. Interim 2022/23 influenza vaccine effectiveness: six European studies, October 2022 to January 2023. Euro Surveill 2023; 28:2300116. [PMID: 37227299 PMCID: PMC10283457 DOI: 10.2807/1560-7917.es.2023.28.21.2300116] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 03/21/2023] [Indexed: 05/26/2023] Open
Abstract
BackgroundBetween October 2022 and January 2023, influenza A(H1N1)pdm09, A(H3N2) and B/Victoria viruses circulated in Europe with different influenza (sub)types dominating in different areas.AimTo provide interim 2022/23 influenza vaccine effectiveness (VE) estimates from six European studies, covering 16 countries in primary care, emergency care and hospital inpatient settings.MethodsAll studies used the test-negative design, but with differences in other study characteristics, such as data sources, patient selection, case definitions and included age groups. Overall and influenza (sub)type-specific VE was estimated for each study using logistic regression adjusted for potential confounders.ResultsThere were 20,477 influenza cases recruited across the six studies, of which 16,589 (81%) were influenza A. Among all ages and settings, VE against influenza A ranged from 27 to 44%. Against A(H1N1)pdm09 (all ages and settings), VE point estimates ranged from 28% to 46%, higher among children (< 18 years) at 49-77%. Against A(H3N2), overall VE ranged from 2% to 44%, also higher among children (62-70%). Against influenza B/Victoria, overall and age-specific VE were ≥ 50% (87-95% among children < 18 years).ConclusionsInterim results from six European studies during the 2022/23 influenza season indicate a ≥ 27% and ≥ 50% reduction in disease occurrence among all-age influenza vaccine recipients for influenza A and B, respectively, with higher reductions among children. Genetic virus characterisation results and end-of-season VE estimates will contribute to greater understanding of differences in influenza (sub)type-specific results across studies.
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Affiliation(s)
| | | | - Hanne-Dorthe Emborg
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
| | | | | | | | - Ramona Trebbien
- Department of Virus and Microbiological Special diagnostics, National Influenza Center, Statens Serum Institut, Copenhagen, Denmark
| | | | | | - Francisco Pozo
- National Centre for Microbiology, National Influenza Reference Laboratory, WHO-National Influenza Centre, Institute of Health Carlos III, Madrid, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid, Spain
| | - Amanda Bolt Botnen
- Department of Virus and Microbiological Special diagnostics, National Influenza Center, Statens Serum Institut, Copenhagen, Denmark
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Bagga S, Krishnan A, Dar L. Revisiting live attenuated influenza vaccine efficacy among children in developing countries. Vaccine 2023; 41:1009-1017. [PMID: 36604216 DOI: 10.1016/j.vaccine.2022.12.058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 12/21/2022] [Accepted: 12/22/2022] [Indexed: 01/05/2023]
Abstract
Seasonal influenza epidemics cause significant pediatric mortality and morbidity worldwide. Live attenuated influenza vaccines (LAIVs) can be administered intranasally, induce a broad and robust immune response, demonstrate higher yields during manufacturing as compared to inactivated influenza vaccines (IIVs), and thereby represent an attractive possibility for young children in developing countries. We summarize recent pediatric studies evaluating LAIV efficacy in developing countries where a large proportion of the influenza-virus-associated respiratory disease burden occurs. Recently, two randomized controlled trials (RCTs) assessing Russian-backbone trivalent LAIV in children reported contradictory results; vaccine efficacy varied between Bangladesh (41 %) and Senegal (0.0 %) against all influenza viral strains. Prior to 2013, Ann Arbor-based LAIV demonstrated superior efficacy as compared to IIV. However, due to low effectiveness of the Ann Arbor-based LAIV against influenza A(H1N1)pdm09-like viruses, the CDC Advisory Committee on Immunization Practices (ACIP) recommended against the use of LAIV during the 2016-17 and 2017-18 influenza seasons. Reduced replicative fitness of the A(H1N1)pdm09 LAIV strains is thought to have led to the low effectiveness of the Ann-Arbor-based LAIV. Once the A(H1N1)pdm09 component was updated, the ACIP reintroduced the Ann-Arbor-based LAIV as a vaccine choice for the 2018-19 influenza season. In 2021, results from a 2-year RCT evaluating the Russian-backbone trivalent LAIV in rural north India reported that LAIV demonstrated significantly lower efficacy compared to IIV, but in Year 2, the vaccine efficacy for LAIV and IIV was comparable. A profounder understanding of the mechanisms underlying varied efficacy of LAIV in developing countries is warranted. Assessing replicative fitness, in addition to antigenicity, when selecting annual A(H1N1)pdm09 components in the Russian-backbone trivalent LAIVs is essential and may ultimately, enable widespread utility in resource-poor settings.
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Affiliation(s)
- Sumedha Bagga
- Department of Microbiology, All India Institute of Medical Sciences, New Delhi, India
| | - Anand Krishnan
- Centre for Community Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Lalit Dar
- Department of Microbiology, All India Institute of Medical Sciences, New Delhi, India.
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4
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The impact of repeated vaccination on relative influenza vaccine effectiveness among vaccinated adults in the United Kingdom. Epidemiol Infect 2022; 150:e198. [PMID: 36331053 PMCID: PMC9987024 DOI: 10.1017/s0950268822001753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Annual seasonal influenza vaccination is recommended for individuals at high risk of developing post-infection complications in many locations. However, reduced vaccine immunogenicity and effectiveness have been observed among repeat vaccinees in some influenza seasons. We investigated the impact of repeated influenza vaccination on relative vaccine effectiveness (VE) among individuals who were recommended for influenza vaccination in the United Kingdom with a retrospective cohort study using primary healthcare data from the Clinical Practice Research Datalink, a primary care database in the United Kingdom. Relative VE was estimated against general practitioner-diagnosed influenza-like illnesses (GP-ILI) and medically attended acute respiratory illnesses (MAARI) among participants who have been repeatedly vaccinated compared with first-time vaccinees using proportional hazards models. Relative VE against MAARI may be reduced for individuals above 65 years old who were vaccinated in the current and previous influenza seasons for some influenza seasons. However, these findings were not conclusive as we could not exclude the possibility of residual confounding in our dataset. The use of routinely collected data from electronic health records to examine the effects of repeated vaccination needs to be complemented with sufficient efforts to include negative control outcomes to rule out residual confounding.
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Jones RP, Ponomarenko A. Roles for Pathogen Interference in Influenza Vaccination, with Implications to Vaccine Effectiveness (VE) and Attribution of Influenza Deaths. Infect Dis Rep 2022; 14:710-758. [PMID: 36286197 PMCID: PMC9602062 DOI: 10.3390/idr14050076] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 09/15/2022] [Accepted: 09/15/2022] [Indexed: 08/29/2023] Open
Abstract
Pathogen interference is the ability of one pathogen to alter the course and clinical outcomes of infection by another. With up to 3000 species of human pathogens the potential combinations are vast. These combinations operate within further immune complexity induced by infection with multiple persistent pathogens, and by the role which the human microbiome plays in maintaining health, immune function, and resistance to infection. All the above are further complicated by malnutrition in children and the elderly. Influenza vaccination offers a measure of protection for elderly individuals subsequently infected with influenza. However, all vaccines induce both specific and non-specific effects. The specific effects involve stimulation of humoral and cellular immunity, while the nonspecific effects are far more nuanced including changes in gene expression patterns and production of small RNAs which contribute to pathogen interference. Little is known about the outcomes of vaccinated elderly not subsequently infected with influenza but infected with multiple other non-influenza winter pathogens. In this review we propose that in certain years the specific antigen mix in the seasonal influenza vaccine inadvertently increases the risk of infection from other non-influenza pathogens. The possibility that vaccination could upset the pathogen balance, and that the timing of vaccination relative to the pathogen balance was critical to success, was proposed in 2010 but was seemingly ignored. Persons vaccinated early in the winter are more likely to experience higher pathogen interference. Implications to the estimation of vaccine effectiveness and influenza deaths are discussed.
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Affiliation(s)
- Rodney P Jones
- Healthcare Analysis and Forecasting, Wantage OX12 0NE, UK
| | - Andrey Ponomarenko
- Department of Biophysics, Informatics and Medical Instrumentation, Odessa National Medical University, Valikhovsky Lane 2, 65082 Odessa, Ukraine
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Abstract
Live attenuated, cold-adapted influenza vaccines exhibit several desirable characteristics, including the induction of systemic, mucosal, and cell-mediated immunity resulting in breadth of protection, ease of administration, and yield. Seasonal live attenuated influenza vaccines (LAIVs) were developed in the United States and Russia and have been used in several countries. In the last decade, following the incorporation of the 2009 pandemic H1N1 strain, the performance of both LAIVs has been variable and the U.S.-backbone LAIV was less effective than the corresponding inactivated influenza vaccines. The cause appears to be reduced replicative fitness of some H1N1pdm09 viruses, indicating a need for careful selection of strains included in multivalent LAIV formulations. Assays are now being implemented to select optimal strains. An improved understanding of the determinants of replicative fitness of vaccine strains and of vaccine effectiveness of LAIVs is needed for public health systems to take full advantage of these valuable vaccines.
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Affiliation(s)
- Kanta Subbarao
- WHO Collaborating Centre for Reference and Research on Influenza and Department of Microbiology and Immunology, University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria 3000, Australia
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Machado A, Leite A, Larrauri A, Gomez V, Rodrigues AP, Kislaya I, Nunes B. No effect modification of influenza virus vaccine effectiveness by age or chronic condition was observed in the 2010/11 to 2017/18 seasons. Pharmacoepidemiol Drug Saf 2021; 30:1411-1419. [PMID: 34096151 DOI: 10.1002/pds.5302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Revised: 05/27/2021] [Accepted: 05/31/2021] [Indexed: 11/10/2022]
Abstract
PURPOSE Most European influenza vaccine strategies target individuals at higher risk of complications, which include, among others, individuals aged ≥65 years and with chronic conditions. These individuals not only have a high-risk of post-infection complications but also could have lower capacity of acquiring adequate vaccine-induced protection. As such, chronic conditions and age could modify the effect of vaccines. This study aimed at assessing the potential effect modification of influenza vaccine effectiveness (IVE) by age and chronic conditions. METHODS We used eight-season data from the Portuguese vaccine effectiveness study. Every season, physicians at primary care units recruited patients with influenza-like illness. Clinical data and swabs were collected for Reverse Transverse Polymerase Chain Reaction (RT-PCR) detection of influenza. Trivalent inactivated IVE was estimated as 1 - odds ratio (OR) of being vaccinated in cases (RT-PCR positive for influenza) versus negative controls. ORs were obtained using a multivariable conditional logistic regression model, paired by week of onset within each season. Confounders were assessed by designing a specific causal diagram. Age (< 65 or ≥65 years) and chronic conditions (diabetes, cardiovascular disease, chronic renal disease, chronic hepatic disease, obesity, chronic respiratory disease, and congenital or acquired immunodeficiency) were studied as effect modifiers by including an interaction term in the regression models. Significance was established at 5%. RESULTS Point estimates indicate a higher IVE in the chronic condition strata compared to that in the no chronic condition strata. Regarding age, different results were obtained considering the virus type and (sub)type. When comparing the ≥65 years with the <65 years of age strata, we observed a higher IVE against A(H1N1)pdm09, an equal IVE against A(H3N2) and a lower IVE against B virus. However, all interaction terms were statistically insignificant, and this may be due to a small sample size. CONCLUSION The potential effect modification of age or chronic condition was not observed within our study.
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Affiliation(s)
- Ausenda Machado
- Departamento de Epidemiologia, Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisbon, Portugal.,NOVA National School of Public Health, Public Health Research Centre, Universidade NOVA de Lisboa, Lisbon, Portugal
| | - Andreia Leite
- NOVA National School of Public Health, Public Health Research Centre, Universidade NOVA de Lisboa, Lisbon, Portugal.,Unidade de Saúde Pública, Agrupamento de Centros de Saúde Amadora, Lisbon, Portugal
| | - Amparo Larrauri
- National Centre of Epidemiology, Institute of Health Carlos III. CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Verónica Gomez
- Departamento de Epidemiologia, Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisbon, Portugal
| | - Ana Paula Rodrigues
- Departamento de Epidemiologia, Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisbon, Portugal
| | - Irina Kislaya
- Departamento de Epidemiologia, Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisbon, Portugal.,NOVA National School of Public Health, Public Health Research Centre, Universidade NOVA de Lisboa, Lisbon, Portugal
| | - Baltazar Nunes
- Departamento de Epidemiologia, Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisbon, Portugal.,NOVA National School of Public Health, Public Health Research Centre, Universidade NOVA de Lisboa, Lisbon, Portugal
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BOCCALINI SARA, PARIANI ELENA, CALABRÒ GIOVANNAELISA, DE WAURE CHIARA, PANATTO DONATELLA, AMICIZIA DANIELA, LAI PIEROLUIGI, RIZZO CATERINA, AMODIO EMANUELE, VITALE FRANCESCO, CASUCCIO ALESSANDRA, DI PIETRO MARIALUISA, GALLI CRISTINA, BUBBA LAURA, PELLEGRINELLI LAURA, VILLANI LEONARDO, D’AMBROSIO FLORIANA, CAMINITI MARTA, LORENZINI ELISA, FIORETTI PAOLA, MICALE ROSANNATINDARA, FRUMENTO DAVIDE, CANTOVA ELISA, PARENTE FLAVIO, TRENTO GIACOMO, SOTTILE SARA, PUGLIESE ANDREA, BIAMONTE MASSIMILIANOALBERTO, GIORGETTI DUCCIO, MENICACCI MARCO, D’ANNA ANTONIO, AMMOSCATO CLAUDIA, LA GATTA EMANUELE, BECHINI ANGELA, BONANNI PAOLO. [Health Technology Assessment (HTA) of the introduction of influenza vaccination for Italian children with Fluenz Tetra ®]. JOURNAL OF PREVENTIVE MEDICINE AND HYGIENE 2021; 62:E1-E118. [PMID: 34909481 PMCID: PMC8639053 DOI: 10.15167/2421-4248/jpmh2021.62.2s1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [MESH Headings] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- SARA BOCCALINI
- Dipartimento di Scienze della Salute, Università degli Studi di Firenze, Firenze, Italia
| | - ELENA PARIANI
- Dipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Milano, Italia
- Centro Interuniversitario per la Ricerca sull'Influenza e le altre Infezioni Trasmissibili CIRI-IT, Italia
| | - GIOVANNA ELISA CALABRÒ
- Sezione di Igiene, Dipartimento Universitario di Scienze della Vita e Sanità Pubblica, Università Cattolica del Sacro Cuore, Roma, Italia
- VIHTALI (Value In Health Technology and Academy for Leadership & Innovation), spin off dell’Università Cattolica del Sacro Cuore, Roma, Italia
| | - CHIARA DE WAURE
- Dipartimento di Medicina e Chirurgia, Università degli Studi di Perugia, Perugia, Italia
| | - DONATELLA PANATTO
- Centro Interuniversitario per la Ricerca sull'Influenza e le altre Infezioni Trasmissibili CIRI-IT, Italia
- Dipartimento di Scienze della Salute, Università degli Studi di Genova, Genova, Italia
| | - DANIELA AMICIZIA
- Centro Interuniversitario per la Ricerca sull'Influenza e le altre Infezioni Trasmissibili CIRI-IT, Italia
- Dipartimento di Scienze della Salute, Università degli Studi di Genova, Genova, Italia
| | - PIERO LUIGI LAI
- Centro Interuniversitario per la Ricerca sull'Influenza e le altre Infezioni Trasmissibili CIRI-IT, Italia
- Dipartimento di Scienze della Salute, Università degli Studi di Genova, Genova, Italia
| | - CATERINA RIZZO
- Area Funzionale Percorsi Clinici ed Epidemiologia, Ospedale Pediatrico Bambino Gesù, IRCCS, Roma, Italia
| | - EMANUELE AMODIO
- Dipartimento Promozione della Salute, Materno-Infantile, di Medicina Interna e Specialistica di Eccellenza “G. D'Alessandro”, Università degli Studi di Palermo, Palermo, Italia
| | - FRANCESCO VITALE
- Dipartimento Promozione della Salute, Materno-Infantile, di Medicina Interna e Specialistica di Eccellenza “G. D'Alessandro”, Università degli Studi di Palermo, Palermo, Italia
| | - ALESSANDRA CASUCCIO
- Dipartimento Promozione della Salute, Materno-Infantile, di Medicina Interna e Specialistica di Eccellenza “G. D'Alessandro”, Università degli Studi di Palermo, Palermo, Italia
| | - MARIA LUISA DI PIETRO
- Sezione di Igiene, Dipartimento Universitario di Scienze della Vita e Sanità Pubblica, Università Cattolica del Sacro Cuore, Roma, Italia
| | - CRISTINA GALLI
- Dipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Milano, Italia
| | - LAURA BUBBA
- Dipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Milano, Italia
| | - LAURA PELLEGRINELLI
- Dipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Milano, Italia
| | - LEONARDO VILLANI
- Sezione di Igiene, Dipartimento Universitario di Scienze della Vita e Sanità Pubblica, Università Cattolica del Sacro Cuore, Roma, Italia
| | - FLORIANA D’AMBROSIO
- Sezione di Igiene, Dipartimento Universitario di Scienze della Vita e Sanità Pubblica, Università Cattolica del Sacro Cuore, Roma, Italia
| | - MARTA CAMINITI
- Dipartimento di Medicina e Chirurgia, Università degli Studi di Perugia, Perugia, Italia
| | - ELISA LORENZINI
- Dipartimento di Medicina e Chirurgia, Università degli Studi di Perugia, Perugia, Italia
| | - PAOLA FIORETTI
- Dipartimento di Medicina e Chirurgia, Università degli Studi di Perugia, Perugia, Italia
| | | | - DAVIDE FRUMENTO
- Dipartimento di Scienze della Salute, Università degli Studi di Genova, Genova, Italia
| | - ELISA CANTOVA
- Dipartimento di Scienze della Salute, Università degli Studi di Genova, Genova, Italia
| | - FLAVIO PARENTE
- Dipartimento di Scienze della Salute, Università degli Studi di Genova, Genova, Italia
| | - GIACOMO TRENTO
- Dipartimento di Scienze della Salute, Università degli Studi di Genova, Genova, Italia
| | - SARA SOTTILE
- Università degli Studi di Trento, Trento, Italia
| | | | | | - DUCCIO GIORGETTI
- Dipartimento di Scienze della Salute, Università degli Studi di Firenze, Firenze, Italia
| | - MARCO MENICACCI
- Dipartimento di Scienze della Salute, Università degli Studi di Firenze, Firenze, Italia
| | - ANTONIO D’ANNA
- Dipartimento Promozione della Salute, Materno-Infantile, di Medicina Interna e Specialistica di Eccellenza “G. D'Alessandro”, Università degli Studi di Palermo, Palermo, Italia
| | - CLAUDIA AMMOSCATO
- Dipartimento Promozione della Salute, Materno-Infantile, di Medicina Interna e Specialistica di Eccellenza “G. D'Alessandro”, Università degli Studi di Palermo, Palermo, Italia
| | - EMANUELE LA GATTA
- Sezione di Igiene, Dipartimento Universitario di Scienze della Vita e Sanità Pubblica, Università Cattolica del Sacro Cuore, Roma, Italia
| | - ANGELA BECHINI
- Dipartimento di Scienze della Salute, Università degli Studi di Firenze, Firenze, Italia
| | - PAOLO BONANNI
- Dipartimento di Scienze della Salute, Università degli Studi di Firenze, Firenze, Italia
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Vasileiou E, Sheikh A, Butler CC, Robertson C, Kavanagh K, Englishby T, Lone NI, von Wissmann B, McMenamin J, Ritchie LD, Schwarze J, Gunson R, Simpson CR. Seasonal Influenza Vaccine Effectiveness in People With Asthma: A National Test-Negative Design Case-Control Study. Clin Infect Dis 2021; 71:e94-e104. [PMID: 31688921 DOI: 10.1093/cid/ciz1086] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Accepted: 11/04/2019] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Influenza infection is a trigger of asthma attacks. Influenza vaccination can potentially reduce the incidence of influenza in people with asthma, but uptake remains persistently low, partially reflecting concerns about vaccine effectiveness (VE). METHODS We conducted a test-negative designed case-control study to estimate the effectiveness of influenza vaccine in people with asthma in Scotland over 6 seasons (2010/2011 to 2015/2016). We used individual patient-level data from 223 practices, which yielded 1 830 772 patient-years of data that were linked with virological (n = 5910 swabs) data. RESULTS Vaccination was associated with an overall 55.0% (95% confidence interval [CI], 45.8-62.7) risk reduction of laboratory-confirmed influenza infections in people with asthma over 6 seasons. There were substantial variations in VE between seasons, influenza strains, and age groups. The highest VE (76.1%; 95% CI, 55.6-87.1) was found in the 2010/2011 season, when the A(H1N1) strain dominated and there was a good antigenic vaccine match. High protection was observed against the A(H1N1) (eg, 2010/2011; 70.7%; 95% CI, 32.5-87.3) and B strains (eg, 2010/2011; 83.2%; 95% CI, 44.3-94.9), but there was lower protection for the A(H3N2) strain (eg, 2014/2015; 26.4%; 95% CI, -12.0 to 51.6). The highest VE against all viral strains was observed in adults aged 18-54 years (57.0%; 95% CI, 42.3-68.0). CONCLUSIONS Influenza vaccination gave meaningful protection against laboratory-confirmed influenza in people with asthma across all seasons. Strategies to boost influenza vaccine uptake have the potential to substantially reduce influenza-triggered asthma attacks.
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Affiliation(s)
- Eleftheria Vasileiou
- Asthma UK Centre for Applied Research, Usher Institute, The University of Edinburgh, Edinburgh, United Kingdom
| | - Aziz Sheikh
- Asthma UK Centre for Applied Research, Usher Institute, The University of Edinburgh, Edinburgh, United Kingdom
| | - Chris C Butler
- Nuffield Department of Primary Care Health Sciences, Oxford University, New Radcliffe House, Radcliffe Observatory Quarter, Oxford, United Kingdom and Cardiff University, Institute of Primary Care and Public Health, Cardiff, United Kingdom
| | - Chris Robertson
- Department of Mathematics and Statistics, University of Strathclyde, Glasgow, United Kingdom and Health Protection Scotland, Glasgow, United Kingdom
| | - Kimberley Kavanagh
- Department of Mathematics and Statistics, University of Strathclyde, Glasgow, United Kingdom
| | - Tanya Englishby
- Department of Mathematics and Statistics, University of Strathclyde, Glasgow, United Kingdom
| | - Nazir I Lone
- Asthma UK Centre for Applied Research, Usher Institute, The University of Edinburgh, Edinburgh, United Kingdom
| | - Beatrix von Wissmann
- Health Protection Scotland, National Health Service (NHS) National Services Scotland, Glasgow, United Kingdom
| | - Jim McMenamin
- Health Protection Scotland, National Health Service (NHS) National Services Scotland, Glasgow, United Kingdom
| | - Lewis D Ritchie
- Centre of Academic Primary Care, University of Aberdeen, Aberdeen, United Kingdom
| | - Jürgen Schwarze
- Centre for Inflammation Research, Queen's Medical Research Institute, Child Life and Health, The University of Edinburgh, Edinburgh, United Kingdom
| | - Rory Gunson
- West of Scotland Specialist Virology Centre, Glasgow, United Kingdom
| | - Colin R Simpson
- Asthma UK Centre for Applied Research, Usher Institute, The University of Edinburgh, Edinburgh, United Kingdom
- School of Health, Faculty of Health, Victoria University of Wellington, Wellington, New Zealand and Asthma UK Centre for Applied Research, Usher Institute, The University of Edinburgh, Edinburgh, United Kingdom
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Okoli GN, Racovitan F, Abdulwahid T, Hyder SK, Lansbury L, Righolt CH, Mahmud SM, Nguyen-Van-Tam JS. Decline in Seasonal Influenza Vaccine Effectiveness With Vaccination Program Maturation: A Systematic Review and Meta-analysis. Open Forum Infect Dis 2021; 8:ofab069. [PMID: 33738320 PMCID: PMC7953658 DOI: 10.1093/ofid/ofab069] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Accepted: 02/03/2021] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Evidence suggests that repeated influenza vaccination may reduce vaccine effectiveness (VE). Using influenza vaccination program maturation (PM; number of years since program inception) as a proxy for population-level repeated vaccination, we assessed the impact on pooled adjusted end-season VE estimates from outpatient test-negative design studies. METHODS We systematically searched and selected full-text publications from January 2011 to February 2020 (PROSPERO: CRD42017064595). We obtained influenza vaccination program inception year for each country and calculated PM as the difference between the year of deployment and year of program inception. We categorized PM into halves (cut at the median), tertiles, and quartiles and calculated pooled VE using an inverse-variance random-effects model. The primary outcome was pooled VE against all influenza. RESULTS We included 72 articles from 11 931 citations. Across the 3 categorizations of PM, a lower pooled VE against all influenza for all patients was observed with PM. Substantially higher reductions were observed in older adults (≥65 years). We observed similar results for A(H1N1)pdm09, A(H3N2), and influenza B. CONCLUSIONS The evidence suggests that influenza VE declines with vaccination PM. This study forms the basis for further discussions and examinations of the potential impact of vaccination PM on seasonal VE.
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Affiliation(s)
- George N Okoli
- College of Pharmacy, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
- Vaccine and Drug Evaluation Centre, University of Manitoba, Winnipeg, Manitoba, Canada
- George and Fay Yee Centre for Healthcare Innovation, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Florentin Racovitan
- Vaccine and Drug Evaluation Centre, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Tiba Abdulwahid
- George and Fay Yee Centre for Healthcare Innovation, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Syed K Hyder
- Department of Epidemiology and Public Health, University of Nottingham School of Medicine, Nottingham, United Kingdom
| | - Louise Lansbury
- Department of Epidemiology and Public Health, University of Nottingham School of Medicine, Nottingham, United Kingdom
| | - Christiaan H Righolt
- Vaccine and Drug Evaluation Centre, University of Manitoba, Winnipeg, Manitoba, Canada
- Community Health Sciences, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Salaheddin M Mahmud
- College of Pharmacy, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
- Vaccine and Drug Evaluation Centre, University of Manitoba, Winnipeg, Manitoba, Canada
- Community Health Sciences, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Jonathan S Nguyen-Van-Tam
- Department of Epidemiology and Public Health, University of Nottingham School of Medicine, Nottingham, United Kingdom
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11
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Okoli GN, Racovitan F, Abdulwahid T, Righolt CH, Mahmud SM. Variable seasonal influenza vaccine effectiveness across geographical regions, age groups and levels of vaccine antigenic similarity with circulating virus strains: A systematic review and meta-analysis of the evidence from test-negative design studies after the 2009/10 influenza pandemic. Vaccine 2021; 39:1225-1240. [PMID: 33494964 DOI: 10.1016/j.vaccine.2021.01.032] [Citation(s) in RCA: 49] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Revised: 12/21/2020] [Accepted: 01/08/2021] [Indexed: 11/17/2022]
Abstract
BACKGROUND We examined the influence of some factors on seasonal influenza vaccine effectiveness (VE) from test-negative design (TND) studies. METHODS We systematically searched for full-text publications of VE against laboratory-confirmed influenza from TND studies in outpatient settings after the 2009/10 influenza pandemic. Two reviewers independently selected and extracted data from the included studies. We calculated pooled adjusted VE across geographical regions, age groups and levels of vaccine antigenic similarity with circulating virus strains, using an inverse variance, random-effects model. RESULTS We included 76 full-text articles from 11,931 citations. VE estimates against A(H1N1)pdm09, A(H3N2), influenza B, and all influenza were homogenous and point pooled VE higher in the Southern hemisphere compared with the Northern hemisphere. The difference in pooled VE between the Southern and Northern hemispheres was statistically significant for A(H3N2), influenza B, and all influenza. A consistent pattern was observed in pooled VE across both hemispheres and continents, with the highest point pooled VE being against A(H1N1)pdm09, followed by influenza B, and lowest against A(H3N2). A nearly consistent pattern was observed in pooled VE across age groups in the Northern hemisphere, with pooled VE mostly decreasing with age. Point pooled VE against A(H3N2), influenza B, and all influenza were statistically significantly higher when vaccine was antigenically similar to circulating virus strains compared with when antigenically dissimilar. Similar pattern was observed in the Northern hemisphere, but there was a lack of data from the Southern hemisphere. CONCLUSION Consistent patterns appear to exist in seasonal influenza VE across regions, age groups, and levels of vaccine antigenic similarity with circulating virus strains, with best vaccine performance against A(H1N1)pdm09 and worst against A(H3N2). The evidence highlights the need to consider geographical location, age, and vaccine antigenic similarity with circulating virus strains when designing and evaluating influenza VE studies.
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Affiliation(s)
- G N Okoli
- College of Pharmacy, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada; George and Fay Yee Centre for Healthcare Innovation, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada; Vaccine and Drug Evaluation Centre, University of Manitoba, Winnipeg, MB, Canada
| | - F Racovitan
- Vaccine and Drug Evaluation Centre, University of Manitoba, Winnipeg, MB, Canada
| | - T Abdulwahid
- George and Fay Yee Centre for Healthcare Innovation, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - C H Righolt
- Vaccine and Drug Evaluation Centre, University of Manitoba, Winnipeg, MB, Canada; Community Health Sciences, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - S M Mahmud
- College of Pharmacy, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada; Vaccine and Drug Evaluation Centre, University of Manitoba, Winnipeg, MB, Canada; Community Health Sciences, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada.
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12
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Jackson D, Pitcher M, Hudson C, Andrews N, Southern J, Ellis J, Höschler K, Pebody R, Turner PJ, Miller E, Zambon M. Viral Shedding in Recipients of Live Attenuated Influenza Vaccine in the 2016-2017 and 2017-2018 Influenza Seasons in the United Kingdom. Clin Infect Dis 2021; 70:2505-2513. [PMID: 31642899 PMCID: PMC7286380 DOI: 10.1093/cid/ciz719] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2019] [Accepted: 08/02/2019] [Indexed: 11/13/2022] Open
Abstract
Background The (H1N1)pdm09 live attenuated influenza vaccine (LAIV) strain was changed for the 2017–2018 influenza season to improve viral fitness, following poor protection against (H1N1)pdm09 viruses in 2015–2016. We conducted LAIV virus shedding studies to assess the effect of this change. Methods Children aged 2–18 years were recruited to receive LAIV in the 2016–2017 (n = 641) and 2017–2018 (n = 362) influenza seasons. Viruses from nasal swabs taken 1, 3, and 6 days postvaccination were quantified by reverse-transcription polymerase chain reaction and area under the curve titers were determined. Presence and quantity of shedding were compared between strains and seasons with adjustment for age and prior LAIV (n = 436), inactivated seasonal vaccine (n = 100), or (H1N1)pdm09 vaccine (n = 166) receipt. Results (H1N1)pdm09 detection (positivity) in 2016–2017 and 2017–2018 (11.2% and 3.9%, respectively) was lower than that of H3N2 (19.7% and 18.7%, respectively) and B/Victoria (28.9% and 33.9%, respectively). (H1N1)pdm09 positivity was higher in 2016–2017 than 2017–2018 (P = .005), but within shedding-positive participants, the (H1N1)pdm09 titer increased in 2017–2018 (P = .02). H3N2 and influenza B titers were similar between seasons. Positivity declined with age, and prior vaccination reduced the likelihood of shedding influenza B but not (H1N1)pdm09. Conclusions The (H1N1)pdm09 titer increased in 2017–2018, indicating more efficient virus replication in shedding-positive children than the 2016–2017 strain, although overall positivity was reduced. Age and vaccination history require consideration when correlating virus shedding and protection. Clinical Trials Registration NCT02143882, NCT02866942, and NCT03104790.
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Affiliation(s)
- David Jackson
- Virus Reference Department, National Infection Service, Public Health England, Colindale, United Kingdom
| | - Max Pitcher
- Virus Reference Department, National Infection Service, Public Health England, Colindale, United Kingdom
| | - Chris Hudson
- Virus Reference Department, National Infection Service, Public Health England, Colindale, United Kingdom
| | - Nick Andrews
- Statistics, Modelling and Economics Department, National Infection Service, Public Health England, Colindale, United Kingdom
| | - Jo Southern
- Immunisation and Countermeasures, National Infection Service, Public Health England, Colindale, United Kingdom
| | - Joanna Ellis
- Immunisation and Countermeasures, National Infection Service, Public Health England, Colindale, United Kingdom
| | - Katja Höschler
- Virus Reference Department, National Infection Service, Public Health England, Colindale, United Kingdom
| | - Richard Pebody
- Immunisation and Countermeasures, National Infection Service, Public Health England, Colindale, United Kingdom
| | - Paul J Turner
- Immunisation and Countermeasures, National Infection Service, Public Health England, Colindale, United Kingdom.,Section of Paediatrics, Imperial College London, London, United Kingdom
| | - Elizabeth Miller
- Immunisation and Countermeasures, National Infection Service, Public Health England, Colindale, United Kingdom
| | - Maria Zambon
- Virus Reference Department, National Infection Service, Public Health England, Colindale, United Kingdom
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13
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Simpson CR, Lone NI, Kavanagh K, Englishby T, Robertson C, McMenamin J, Wissman BV, Vasileiou E, Butler CC, Ritchie LD, Gunson R, Schwarze J, Sheikh A. Vaccine effectiveness of live attenuated and trivalent inactivated influenza vaccination in 2010/11 to 2015/16: the SIVE II record linkage study. Health Technol Assess 2020; 24:1-66. [PMID: 33256892 DOI: 10.3310/hta24670] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND There is good evidence of vaccine effectiveness in healthy individuals but less robust evidence for vaccine effectiveness in the populations targeted for influenza vaccination. The live attenuated influenza vaccine (LAIV) has recently been recommended for children in the UK. The trivalent influenza vaccine (TIV) is recommended for all people aged ≥ 65 years and for those aged < 65 years who are at an increased risk of complications from influenza infection (e.g. people with asthma). OBJECTIVE To examine the vaccine effectiveness of LAIV and TIV. DESIGN Cohort study and test-negative designs to estimate vaccine effectiveness. A self-case series study to ascertain adverse events associated with vaccination. SETTING A national linkage of patient-level general practice (GP) data from 230 Scottish GPs to the Scottish Immunisation & Recall Service, Health Protection Scotland virology database, admissions to Scottish hospitals and the Scottish death register. PARTICIPANTS A total of 1,250,000 people. INTERVENTIONS LAIV for 2- to 11-year-olds and TIV for older people (aged ≥ 65 years) and those aged < 65 years who are at risk of diseases, from 2010/11 to 2015/16. MAIN OUTCOME MEASURES The main outcome measures include vaccine effectiveness against laboratory-confirmed influenza using real-time reverse-transcription polymerase chain reaction (RT-PCR), influenza-related morbidity and mortality, and adverse events associated with vaccination. RESULTS Two-fifths (40%) of preschool-aged children and three-fifths (60%) of primary school-aged children registered in study practices were vaccinated. Uptake varied among groups [e.g. most affluent vs. most deprived in 2- to 4-year-olds, odds ratio 1.76, 95% confidence interval (CI) 1.70 to 1.82]. LAIV-adjusted vaccine effectiveness among children (aged 2-11 years) for preventing RT-PCR laboratory-confirmed influenza was 21% (95% CI -19% to 47%) in 2014/15 and 58% (95% CI 39% to 71%) in 2015/16. No significant adverse events were associated with LAIV. Among at-risk 18- to 64-year-olds, significant trivalent influenza vaccine effectiveness was found for four of the six seasons, with the highest vaccine effectiveness in 2010/11 (53%, 95% CI 21% to 72%). The seasons with non-significant vaccine effectiveness had low levels of circulating influenza virus (2011/12, 5%; 2013/14, 9%). Among those people aged ≥ 65 years, TIV effectiveness was positive in all six seasons, but in only one of the six seasons (2013/14) was significance achieved (57%, 95% CI 20% to 76%). CONCLUSIONS The study found that LAIV was safe and effective in decreasing RT-PCR-confirmed influenza in children. TIV was safe and significantly effective in most seasons for 18- to 64-year-olds, with positive vaccine effectiveness in most seasons for those people aged ≥ 65 years (although this was significant in only one season). FUTURE WORK The UK Joint Committee on Vaccination and Immunisation has recommended the use of adjuvanted injectable vaccine for those people aged ≥ 65 years from season 2018/19 onwards. A future study will be required to evaluate this vaccine. TRIAL REGISTRATION Current Controlled Trials ISRCTN88072400. FUNDING This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 24, No. 67. See the NIHR Journals Library website for further project information.
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Affiliation(s)
- Colin R Simpson
- School of Health, Faculty of Health, Victoria University of Wellington, Wellington, New Zealand.,Asthma UK Centre for Applied Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Nazir I Lone
- Asthma UK Centre for Applied Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Kim Kavanagh
- Department of Mathematics and Statistics, University of Strathclyde, Glasgow, UK
| | - Tanya Englishby
- Department of Mathematics and Statistics, University of Strathclyde, Glasgow, UK
| | - Chris Robertson
- Department of Mathematics and Statistics, University of Strathclyde, Glasgow, UK.,Health Protection Scotland, Glasgow, UK
| | | | | | - Eleftheria Vasileiou
- Asthma UK Centre for Applied Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Christopher C Butler
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.,Institute of Primary Care and Public Health, Cardiff University, Cardiff, UK
| | - Lewis D Ritchie
- Centre of Academic Primary Care, University of Aberdeen, Aberdeen, UK
| | - Rory Gunson
- West of Scotland Specialist Virology Centre, Glasgow Royal Infirmary, Glasgow, UK
| | - Jürgen Schwarze
- Child Life and Health, Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK
| | - Aziz Sheikh
- Asthma UK Centre for Applied Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
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14
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de Lusignan S, Liyanage H, McGagh D, Jani BD, Bauwens J, Byford R, Evans D, Fahey T, Greenhalgh T, Jones N, Mair FS, Okusi C, Parimalanathan V, Pell JP, Sherlock J, Tamburis O, Tripathy M, Ferreira F, Williams J, Hobbs FDR. COVID-19 Surveillance in a Primary Care Sentinel Network: In-Pandemic Development of an Application Ontology. JMIR Public Health Surveill 2020; 6:e21434. [PMID: 33112762 PMCID: PMC7674143 DOI: 10.2196/21434] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 10/02/2020] [Accepted: 10/02/2020] [Indexed: 02/06/2023] Open
Abstract
Background Creating an ontology for COVID-19 surveillance should help ensure transparency and consistency. Ontologies formalize conceptualizations at either the domain or application level. Application ontologies cross domains and are specified through testable use cases. Our use case was an extension of the role of the Oxford Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC) to monitor the current pandemic and become an in-pandemic research platform. Objective This study aimed to develop an application ontology for COVID-19 that can be deployed across the various use-case domains of the RCGP RSC research and surveillance activities. Methods We described our domain-specific use case. The actor was the RCGP RSC sentinel network, the system was the course of the COVID-19 pandemic, and the outcomes were the spread and effect of mitigation measures. We used our established 3-step method to develop the ontology, separating ontological concept development from code mapping and data extract validation. We developed a coding system–independent COVID-19 case identification algorithm. As there were no gold-standard pandemic surveillance ontologies, we conducted a rapid Delphi consensus exercise through the International Medical Informatics Association Primary Health Care Informatics working group and extended networks. Results Our use-case domains included primary care, public health, virology, clinical research, and clinical informatics. Our ontology supported (1) case identification, microbiological sampling, and health outcomes at an individual practice and at the national level; (2) feedback through a dashboard; (3) a national observatory; (4) regular updates for Public Health England; and (5) transformation of a sentinel network into a trial platform. We have identified a total of 19,115 people with a definite COVID-19 status, 5226 probable cases, and 74,293 people with possible COVID-19, within the RCGP RSC network (N=5,370,225). Conclusions The underpinning structure of our ontological approach has coped with multiple clinical coding challenges. At a time when there is uncertainty about international comparisons, clarity about the basis on which case definitions and outcomes are made from routine data is essential.
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Affiliation(s)
- Simon de Lusignan
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Harshana Liyanage
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Dylan McGagh
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Bhautesh Dinesh Jani
- General Practice and Primary Care, Institute of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom
| | - Jorgen Bauwens
- University Children's Hospital Basel, University of Basel, Basel, Switzerland
| | - Rachel Byford
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Dai Evans
- PRIMIS, University of Nottingham, Nottingham, United Kingdom
| | - Tom Fahey
- Department of General Practice, Royal College of Surgeons, Ireland, Dublin, Ireland
| | - Trisha Greenhalgh
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Nicholas Jones
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Frances S Mair
- General Practice and Primary Care, Institute of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom
| | - Cecilia Okusi
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Vaishnavi Parimalanathan
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Jill P Pell
- General Practice and Primary Care, Institute of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom
| | - Julian Sherlock
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Oscar Tamburis
- Department of Veterinary Medicine and Animal Productions, University of Naples Federico II, Naples, Italy
| | - Manasa Tripathy
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Filipa Ferreira
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - John Williams
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - F D Richard Hobbs
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
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15
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Hill EM, Petrou S, Forster H, de Lusignan S, Yonova I, Keeling MJ. Optimising age coverage of seasonal influenza vaccination in England: A mathematical and health economic evaluation. PLoS Comput Biol 2020; 16:e1008278. [PMID: 33021983 PMCID: PMC7567368 DOI: 10.1371/journal.pcbi.1008278] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Revised: 10/16/2020] [Accepted: 08/20/2020] [Indexed: 11/18/2022] Open
Abstract
For infectious disease prevention, policy-makers are typically required to base policy decisions in light of operational and monetary restrictions, prohibiting implementation of all candidate interventions. To inform the evidence-base underpinning policy decision making, mathematical and health economic modelling can be a valuable constituent. Applied to England, this study aims to identify the optimal target age groups when extending a seasonal influenza vaccination programme of at-risk individuals to those individuals at low risk of developing complications following infection. To perform this analysis, we utilise an age- and strain-structured transmission model that includes immunity propagation mechanisms which link prior season epidemiological outcomes to immunity at the beginning of the following season. Making use of surveillance data from the past decade in conjunction with our dynamic model, we simulate transmission dynamics of seasonal influenza in England from 2012 to 2018. We infer that modified susceptibility due to natural infection in the previous influenza season is the only immunity propagation mechanism to deliver a non-negligible impact on the transmission dynamics. Further, we discerned case ascertainment to be higher for young infants compared to adults under 65 years old, and uncovered a decrease in case ascertainment as age increased from 65 to 85 years of age. Our health economic appraisal sweeps vaccination age space to determine threshold vaccine dose prices achieving cost-effectiveness under differing paired strategies. In particular, we model offering vaccination to all those low-risk individuals younger than a given age (but no younger than two years old) and all low-risk individuals older than a given age, while maintaining vaccination of at-risk individuals of any age. All posited strategies were deemed cost-effective. In general, the addition of low-risk vaccination programmes whose coverage encompassed children and young adults (aged 20 and below) were highly cost-effective. The inclusion of elder age-groups to the low-risk programme typically lessened the cost-effectiveness. Notably, elderly-centric programmes vaccinating from 65-75 years and above had the least permitted expense per vaccine. Vaccination is an established method to provide protection against seasonal influenza and its complications. Yet, a need to administer an updated vaccine on an annual basis presents significant operational challenges and sizeable costs. Consequently, policy makers typically have to decide how to deploy a finite amount of resource in a cost-effective manner. A combination of mathematical and health economic modelling can be used to address such a question. Here, we developed an age- and strain-structured mathematical model for seasonal influenza transmission dynamics that incorporates mechanisms for immunity propagation, which we used to reconstruct transmission dynamics of seasonal influenza in England from 2012 to 2018. We then performed a health economic evaluation assessing the cost-effectiveness of extending a seasonal influenza vaccination programme of at-risk individuals to also include, for targeted age groups, those individuals at low risk of developing complications following infection. The findings suggest the inclusion of low-risk vaccination programmes whose coverage encompassed children and young adults (aged 20 and below) to be highly cost-effective. In contrast, the inclusion of elder age-groups to the low-risk programme typically lessened the cost-effectiveness.
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Affiliation(s)
- Edward M. Hill
- The Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research, School of Life Sciences and Mathematics Institute, University of Warwick, Coventry, CV4 7AL, United Kingdom
- * E-mail:
| | - Stavros Petrou
- Warwick Clinical Trials Unit, Warwick Medical School, University of Warwick, Coventry, CV4 7AL, United Kingdom
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, United Kingdom
| | - Henry Forster
- Government Statistics Service, Department of Health and Social Care, Leeds, LS2 7UE, United Kingdom
| | - Simon de Lusignan
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, United Kingdom
- Royal College of General Practitioners, London, NW1 2FB, United Kingdom
| | - Ivelina Yonova
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, United Kingdom
- Royal College of General Practitioners, London, NW1 2FB, United Kingdom
| | - Matt J. Keeling
- The Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research, School of Life Sciences and Mathematics Institute, University of Warwick, Coventry, CV4 7AL, United Kingdom
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16
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Influenza B outbreak at an adult cystic fibrosis centre - Clinical impact and factors influencing spread. J Cyst Fibros 2020; 19:808-814. [DOI: 10.1016/j.jcf.2020.04.011] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 03/03/2020] [Accepted: 04/21/2020] [Indexed: 11/19/2022]
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17
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Pebody R, Djennad A, Ellis J, Andrews N, Marques DFP, Cottrell S, Reynolds AJ, Gunson R, Galiano M, Hoschler K, Lackenby A, Robertson C, O'Doherty M, Sinnathamby M, Panagiotopoulos N, Yonova I, Webb R, Moore C, Donati M, Sartaj M, Shepherd SJ, McMenamin J, de Lusignan S, Zambon M. End of season influenza vaccine effectiveness in adults and children in the United Kingdom in 2017/18. ACTA ACUST UNITED AC 2020; 24. [PMID: 31387673 PMCID: PMC6685099 DOI: 10.2807/1560-7917.es.2019.24.31.1800488] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
Background In the United Kingdom (UK), in recent influenza seasons, children are offered a quadrivalent live attenuated influenza vaccine (LAIV4), and eligible adults mainly trivalent inactivated vaccine (TIV). Aim To estimate the UK end-of-season 2017/18 adjusted vaccine effectiveness (aVE) and the seroprevalence in England of antibodies against influenza viruses cultured in eggs or tissue. Methods This observational study employed the test-negative case–control approach to estimate aVE in primary care. The population-based seroprevalence survey used residual age-stratified samples. Results Influenza viruses A(H3N2) (particularly subgroup 3C.2a2) and B (mainly B/Yamagata/16/88-lineage, similar to the quadrivalent vaccine B-virus component but mismatched to TIV) dominated. All-age aVE was 15% (95% confidence interval (CI): −6.3 to 32) against all influenza; −16.4% (95% CI: −59.3 to 14.9) against A(H3N2); 24.7% (95% CI: 1.1 to 42.7) against B and 66.3% (95% CI: 33.4 to 82.9) against A(H1N1)pdm09. For 2–17 year olds, LAIV4 aVE was 26.9% (95% CI: −32.6 to 59.7) against all influenza; −75.5% (95% CI: −289.6 to 21) against A(H3N2); 60.8% (95% CI: 8.2 to 83.3) against B and 90.3% (95% CI: 16.4 to 98.9) against A(H1N1)pdm09. For ≥ 18 year olds, TIV aVE against influenza B was 1.9% (95% CI: −63.6 to 41.2). The 2017 seroprevalence of antibody recognising tissue-grown A(H3N2) virus was significantly lower than that recognising egg-grown virus in all groups except 15–24 year olds. Conclusions Overall aVE was low driven by no effectiveness against A(H3N2) possibly related to vaccine virus egg-adaption and a new A(H3N2) subgroup emergence. The TIV was not effective against influenza B. LAIV4 against influenza B and A(H1N1)pdm09 was effective.
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Affiliation(s)
| | | | | | | | | | | | | | - Rory Gunson
- West of Scotland Specialist Virology Centre, Glasgow, United Kingdom
| | | | | | | | | | - Mark O'Doherty
- Public Health Agency Northern Ireland, Belfast, United Kingdom
| | | | | | - Ivelina Yonova
- Royal College of General Practitioners, London, United Kingdom.,University of Surrey, Guildford, United Kingdom
| | | | | | | | - Muhammad Sartaj
- Public Health Agency Northern Ireland, Belfast, United Kingdom
| | | | | | - Simon de Lusignan
- Royal College of General Practitioners, London, United Kingdom.,University of Surrey, Guildford, United Kingdom
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18
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Kissling E, Rose A, Emborg HD, Gherasim A, Pebody R, Pozo F, Trebbien R, Mazagatos C, Whitaker H, Valenciano M. Interim 2018/19 influenza vaccine effectiveness: six European studies, October 2018 to January 2019. ACTA ACUST UNITED AC 2020; 24. [PMID: 30808440 PMCID: PMC6446950 DOI: 10.2807/1560-7917.es.2019.24.1900121] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Influenza A(H1N1)pdm09 and A(H3N2) viruses both circulated in Europe in October 2018–January 2019. Interim results from six studies indicate that 2018/19 influenza vaccine effectiveness (VE) estimates among all ages in primary care was 32–43% against influenza A; higher against A(H1N1)pdm09 and lower against A(H3N2). Among hospitalised older adults, VE estimates were 34–38% against influenza A and slightly lower against A(H1N1)pdm09. Influenza vaccination is of continued benefit during the ongoing 2018/19 influenza season.
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Affiliation(s)
- Esther Kissling
- These authors contributed equally to the study and manuscript writing.,EpiConcept, Paris, France
| | - Angela Rose
- These authors contributed equally to the study and manuscript writing.,EpiConcept, Paris, France
| | - Hanne-Dorthe Emborg
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
| | - Alin Gherasim
- National Epidemiology Centre, Institute of Health Carlos III, Madrid, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid, Spain
| | | | - Francisco Pozo
- National Centre for Microbiology, National Influenza Reference Laboratory, WHO-National Influenza Centre, Institute of Health Carlos III, Madrid, Spain
| | - Ramona Trebbien
- Department of Virus and Microbiological Special diagnostics, National Influenza Center, Statens Serum Institut, Copenhagen, Denmark
| | - Clara Mazagatos
- National Epidemiology Centre, Institute of Health Carlos III, Madrid, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid, Spain
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19
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Okoli GN, Racovitan F, Righolt CH, Mahmud SM. Variations in Seasonal Influenza Vaccine Effectiveness due to Study Characteristics: A Systematic Review and Meta-analysis of Test-Negative Design Studies. Open Forum Infect Dis 2020; 7:ofaa177. [PMID: 32704509 PMCID: PMC7367680 DOI: 10.1093/ofid/ofaa177] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Accepted: 05/19/2020] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND Study characteristics influence vaccine effectiveness (VE) estimation. We examined the influence of some of these on seasonal influenza VE estimates from test-negative design (TND) studies. METHODS We systematically searched bibliographic databases and websites for full-text publications of TND studies on VE against laboratory-confirmed seasonal influenza in outpatients after the 2009 pandemic influenza. We followed the Cochrane Handbook for Systematic Reviews of Interventions guidelines. We examined influence of source of vaccination information, respiratory specimen swab time, and covariate adjustment on VE. We calculated pooled adjusted VE against H1N1 and H3N2 influenza subtypes, influenza B, and all influenza using an inverse-variance random-effects model. RESULTS We included 70 full-text articles. Pooled VE against H1N1 and H3N2 influenza subtypes, influenza B, and all influenza was higher for studies that used self-reported vaccination than for those that used medical records. Pooled VE was higher with respiratory specimen collection within ≤7 days vs ≤4 days of symptom onset, but the opposite was observed for H1N1. Pooled VE was higher for studies that adjusted for age but not for medical conditions compared with those that adjusted for both. There was, however, a lack of statistical significance in almost all differences in pooled VE between compared groups. CONCLUSIONS The available evidence is not strong enough to conclude that influenza VE from TND studies varies by source of vaccination information, respiratory specimen swab time, or adjustment for age/medical conditions. The evidence is, however, indicative that these factors ought to be considered while designing or evaluating TND studies of influenza VE.
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Affiliation(s)
- George N Okoli
- George and Fay Yee Centre for Healthcare Innovation, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
- College of Pharmacy, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
- Vaccine and Drug Evaluation Centre, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Florentin Racovitan
- Vaccine and Drug Evaluation Centre, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Christiaan H Righolt
- Vaccine and Drug Evaluation Centre, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Salaheddin M Mahmud
- Vaccine and Drug Evaluation Centre, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
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20
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Influenza vaccine effectiveness against hospitalisation due to laboratory-confirmed influenza in children in England in the 2015-2016 influenza season - a test-negative case-control study. Epidemiol Infect 2020; 147:e201. [PMID: 31364557 PMCID: PMC6624859 DOI: 10.1017/s0950268819000876] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
England has recently started a new paediatric influenza vaccine programme using a live-attenuated influenza vaccine (LAIV). There is uncertainty over how well the vaccine protects against more severe end-points. A test-negative case–control study was used to estimate vaccine effectiveness (VE) in vaccine-eligible children aged 2–16 years of age in preventing laboratory-confirmed influenza hospitalisation in England in the 2015–2016 season using a national sentinel laboratory surveillance system. Logistic regression was used to estimate the VE with adjustment for sex, risk-group, age group, region, ethnicity, deprivation and month of sample collection. A total of 977 individuals were included in the study (348 cases and 629 controls). The overall adjusted VE for all study ages and vaccine types was 33.4% (95% confidence interval (CI) 2.3–54.6) after adjusting for age group, sex, index of multiple deprivation, ethnicity, region, sample month and risk group. Risk group was shown to be an important confounder. The adjusted VE for all influenza types for the live-attenuated vaccine was 41.9% (95% CI 7.3–63.6) and 28.8% (95% CI −31.1 to 61.3) for the inactivated vaccine. The study provides evidence of the effectiveness of influenza vaccination in preventing hospitalisation due to laboratory-confirmed influenza in children in 2015–2016 and continues to support the rollout of the LAIV childhood programme.
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21
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Rose A, Kissling E, Emborg HD, Larrauri A, McMenamin J, Pozo F, Trebbien R, Mazagatos C, Whitaker H, Valenciano M. Interim 2019/20 influenza vaccine effectiveness: six European studies, September 2019 to January 2020. Euro Surveill 2020; 25:2000153. [PMID: 32183932 PMCID: PMC7078828 DOI: 10.2807/1560-7917.es.2020.25.10.2000153] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023] Open
Abstract
BackgroundInfluenza A(H1N1)pdm09, A(H3N2) and B viruses were co-circulating in Europe between September 2019 and January 2020.AimTo provide interim 2019/20 influenza vaccine effectiveness (VE) estimates from six European studies, covering 10 countries and both primary care and hospital settings.MethodsAll studies used the test-negative design, although there were some differences in other study characteristics, e.g. patient selection, data sources, case definitions and included age groups. Overall and influenza (sub)type-specific VE was estimated for each study using logistic regression adjusted for potential confounders.ResultsThere were 31,537 patients recruited across the six studies, of which 5,300 (17%) were cases with 5,310 infections. Most of these (4,466; 84%) were influenza A. The VE point estimates for all ages were 29% to 61% against any influenza in the primary care setting and 35% to 60% in hospitalised older adults (aged 65 years and over). The VE point estimates against A(H1N1)pdm09 (all ages, both settings) was 48% to 75%, and against A(H3N2) ranged from -58% to 57% (primary care) and -16% to 60% (hospital). Against influenza B, VE for all ages was 62% to 83% (primary care only).ConclusionsInfluenza vaccination is of continued benefit during the ongoing 2019/20 influenza season. Robust end-of-season VE estimates and genetic virus characterisation results may help understand the variability in influenza (sub)type-specific results across studies.
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Affiliation(s)
- Angela Rose
- Epiconcept, Paris, France,Authors contributed equally to the study and manuscript writing
| | - Esther Kissling
- Epiconcept, Paris, France,Authors contributed equally to the study and manuscript writing
| | - Hanne-Dorthe Emborg
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
| | - Amparo Larrauri
- National Epidemiology Centre, Institute of Health Carlos III, Madrid, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid, Spain
| | | | - Francisco Pozo
- National Centre for Microbiology, National Influenza Reference Laboratory, WHO-National Influenza Centre, Institute of Health Carlos III, Madrid, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid, Spain
| | - Ramona Trebbien
- Department of Virus and Microbiological Special diagnostics, National Influenza Center, Statens Serum Institut, Copenhagen, Denmark
| | - Clara Mazagatos
- National Epidemiology Centre, Institute of Health Carlos III, Madrid, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid, Spain
| | | | | | - European IVE group
- European Influenza Vaccine Effectiveness (IVE) group members are listed at the end of the article
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22
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Hoschler K, Maharjan S, Whitaker H, Southern J, Okai B, Baldevarona J, Turner PJ, Andrews NJ, Miller E, Zambon M. Use of traditional serological methods and oral fluids to assess immunogenicity in children aged 2-16 years after successive annual vaccinations with LAIV. Vaccine 2020; 38:2660-2670. [PMID: 32070679 PMCID: PMC7054836 DOI: 10.1016/j.vaccine.2020.02.024] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Revised: 01/08/2020] [Accepted: 02/07/2020] [Indexed: 11/28/2022]
Abstract
BACKGROUND The UK introduced quadrivalent live attenuated influenza vaccine (qLAIV) for children in 2013/2014. The impact of annual vaccination on effectiveness and immunogenicity is being assessed. METHOD A phase III/IV open-label study of the immunogenicity of annual vaccination with qLAIV (Fluenz™) was conducted over three consecutive years (2014/15-2016/17) in 254, 249 and 162 children respectively. Serum responses to vaccine components were measured by Haemagglutination Inhibition (HAI) and anti-A(H1N1)pdm09 Neuraminidase (NAI) assays, stratified according to previous receipt of AS03B-adjuvanted A(H1N1)pdm09 pandemic vaccine in 2009/10. Antibody levels to the A(H1N1)pdm09 and H3N2 vaccine components in oral fluids (OF) were explored using an ELISA. FINDINGS More paired pre- and post-vaccination oral fluids (96%) than paired sera (87%) were obtained. Geometric mean titre rises using HAI assays were limited, with maximum rises seen in year one for both influenza B strains when 39% and 43% of subjects seroconverted (95% confidence interval 33-46% and 36-50%, respectively) and year two for influenza H3N2, when 40% (33-46%) individuals seroconverted. Prior pandemic vaccine receipt resulted in higher pre- and post-vaccination A(H1N1)pdm09 HAI titres and lower pre-and post-vaccination NAI (N1 neuraminidase) titres in all three years. OF results were congruent with HAI results; assay specificity compared to HAI was 88.1 and 71.6 percent, and sensitivity was 86.4 and 74.8 percent respectively for A(H1N1)pdm09 and H3N2. CONCLUSION In all three study years, vaccination with qLAIV resulted in poor antibody responses. However, OFs are an alternative specimen type that allows self sampling, can easily be obtained from children, and their analysis leads to similar conclusions as classic serology by HAI. Their suitability for seroprevalence studies should be investigated. We demonstrated a sustained effect from prior receipt of the AS03B-adjuvanted A(H1N1)pdm09 vaccine, even after repeat vaccination with qLAIV indicating that early exposure to influenza antigens has a significant long lasting effect.
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MESH Headings
- Adolescent
- Antibodies, Viral/blood
- Child
- Child, Preschool
- Female
- Humans
- Immunization Schedule
- Influenza A Virus, H1N1 Subtype/immunology
- Influenza A Virus, H1N1 Subtype/isolation & purification
- Influenza A Virus, H3N2 Subtype/immunology
- Influenza A Virus, H3N2 Subtype/isolation & purification
- Influenza Vaccines/administration & dosage
- Influenza Vaccines/immunology
- Influenza, Human/epidemiology
- Influenza, Human/immunology
- Influenza, Human/prevention & control
- Male
- Saliva/immunology
- United Kingdom/epidemiology
- Vaccination/methods
- Vaccines, Attenuated/immunology
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Affiliation(s)
- Katja Hoschler
- Virus Reference Department, Public Health England (Colindale), London, UK.
| | - Sunil Maharjan
- Virus Reference Department, Public Health England (Colindale), London, UK
| | - Heather Whitaker
- Statistics, Modelling and Economics Department, Public Health England (Colindale), London, UK
| | - Jo Southern
- Immunisation and Countermeasures, Public Health England (Colindale), London, UK
| | - Blessing Okai
- Virus Reference Department, Public Health England (Colindale), London, UK
| | - Janice Baldevarona
- Virus Reference Department, Public Health England (Colindale), London, UK
| | - Paul J Turner
- Immunisation and Countermeasures, Public Health England (Colindale), London, UK; National Heart and Lung Institute, Imperial College London, UK
| | - Nick J Andrews
- Statistics, Modelling and Economics Department, Public Health England (Colindale), London, UK
| | - Elizabeth Miller
- Immunisation and Countermeasures, Public Health England (Colindale), London, UK
| | - Maria Zambon
- Virus Reference Department, Public Health England (Colindale), London, UK
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23
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Matrajt L, Halloran ME, Antia R. Successes and Failures of the Live-attenuated Influenza Vaccine: Can We Do Better? Clin Infect Dis 2020; 70:1029-1037. [PMID: 31056675 PMCID: PMC7319054 DOI: 10.1093/cid/ciz358] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2018] [Accepted: 04/30/2019] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND The effectiveness of the live-attenuated influenza vaccine (LAIV) can vary widely, ranging from 0% to 50%. The reasons for these discrepancies remain largely unclear. METHODS We use mathematical models to explore how the efficacy of LAIV is affected by the degree of mismatch with the currently circulating influenza strain and interference with pre-existing immunity. The models incorporate 3 key antigenic distances: the distances between the vaccine strain, pre-existing immunity, and the challenge strain. RESULTS Our models show that an LAIV that is matched with the currently circulating strain is likely to have only modest efficacy. Our results suggest that the efficacy of the vaccine would be increased (optimized) if, rather than being matched to the circulating strain, it is antigenically slightly further from pre-existing immunity than the circulating strain. The models also suggest 2 regimes in which LAIV that is matched to circulating strains may be protective: in children before they have built immunity to circulating strains and in response to novel strains (such as antigenic shifts) which are at substantial antigenic distance from previously circulating strains. We provide an explanation for the variation in vaccine effectiveness between studies and countries of vaccine effectiveness observed during the 2014-2015 influenza season. CONCLUSIONS LAIV is offered to children across the world; however, its effectiveness significantly varies between studies. Here, we propose a mechanistic explanation to understand these differences. We further propose a way to select the LAIV strain that would have a higher chance of being protective.
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Affiliation(s)
- Laura Matrajt
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center
| | - M Elizabeth Halloran
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center
- Department of Biostatistics, University of Washington, Seattle
| | - Rustom Antia
- Department of Biology, Emory University, Atlanta, Georgia
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24
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Turner PJ, Abdulla AF, Cole ME, Javan RR, Gould V, O'Driscoll ME, Southern J, Zambon M, Miller E, Andrews NJ, Höschler K, Tregoning JS. Differences in nasal immunoglobulin A responses to influenza vaccine strains after live attenuated influenza vaccine (LAIV) immunization in children. Clin Exp Immunol 2020; 199:109-118. [PMID: 31670841 PMCID: PMC6954673 DOI: 10.1111/cei.13395] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/24/2019] [Indexed: 11/28/2022] Open
Abstract
Different vaccine strains included in the live attenuated influenza vaccine (LAIV) have variable efficacy. The reasons for this are not clear and may include differences in immunogenicity. We report a Phase IV open-label study on the immunogenicity of a single dose of quadrivalent LAIV (Fluenz™ Tetra) in children during the 2015/16 season, to investigate the antibody responses to different strains. Eligible children were enrolled to receive LAIV; nasal samples were collected before and approximately 4 weeks after immunization. There was a significant increase in nasal immunoglobulin (Ig)A to the H3N2, B/Victoria lineage (B/Brisbane) and B/Yamagata lineage (B/Phuket) components, but not to the H1N1 component. The fold change in nasal IgA response was inversely proportional to the baseline nasal IgA titre for H1N1, H3N2 and B/Brisbane. We investigated possible associations that may explain baseline nasal IgA, including age and prior vaccination status, but found different patterns for different antigens, suggesting that the response is multi-factorial. Overall, we observed differences in immune responses to different viral strains included in the vaccine; the reasons for this require further investigation.
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Affiliation(s)
- P. J. Turner
- National Heart and Lung InstituteImperial College LondonLondonUK
- Public Health England (Colindale)LondonUK
| | - A. F. Abdulla
- Department of Infectious DiseaseSt Mary's CampusImperial College LondonLondonUK
| | - M. E. Cole
- Department of Infectious DiseaseSt Mary's CampusImperial College LondonLondonUK
| | - R. R. Javan
- Department of Infectious DiseaseSt Mary's CampusImperial College LondonLondonUK
| | - V. Gould
- Department of Infectious DiseaseSt Mary's CampusImperial College LondonLondonUK
| | - M. E. O'Driscoll
- Infectious Diseases EpidemiologySt Mary's CampusImperial College LondonLondonUK
| | | | - M. Zambon
- Public Health England (Colindale)LondonUK
| | - E. Miller
- Public Health England (Colindale)LondonUK
| | | | | | - J. S. Tregoning
- Department of Infectious DiseaseSt Mary's CampusImperial College LondonLondonUK
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25
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Isakova-Sivak I, Grigorieva E, Rudenko L. Insights into current clinical research on the immunogenicity of live attenuated influenza vaccines. Expert Rev Vaccines 2020; 19:43-55. [PMID: 31903816 DOI: 10.1080/14760584.2020.1711056] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Introduction: Live attenuated influenza vaccines (LAIVs) have been in use for more than three decades and are now licensed in many countries. There is evidence that LAIVs can have greater efficacy than inactivated influenza vaccines, especially against mismatched influenza, however, in recent years, a number of trials have found a lack of LAIV efficacy, mainly in relation to the H1N1 virus.Areas covered: In this review, we summarize the results of clinical research published in the past 5 years on the immunogenicity of LAIVs, with special attention to the mechanisms of establishing protective immunity and some factors that may influence immunogenicity and efficacy.Expert opinion: A number of recent clinical studies confirmed that the immune responses to LAIVs are multifaceted, involving different immune mechanisms. These trials suggest that the intrinsic replicative properties of each LAIV component should be taken into account, and the precise effects of adding a fourth vaccine strain to trivalent LAIV formulations are still to be identified. In addition, new data are emerging regarding the impact of pre-vaccination conditions, such as preexisting immunity or concurrent asymptomatic viral and bacterial respiratory infections, on LAIV immunogenicity, suggesting the importance of monitoring them during clinical trials or vaccination campaigns.
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Affiliation(s)
- Irina Isakova-Sivak
- Department of Virology, Institute of Experimental Medicine, St. Petersburg, Russia
| | - Elena Grigorieva
- Department of Virology, Institute of Experimental Medicine, St. Petersburg, Russia
| | - Larisa Rudenko
- Department of Virology, Institute of Experimental Medicine, St. Petersburg, Russia
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26
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Huang KYA, Huang YC, Chiu CH, Tsao KC, Lin TY. Impaired Vaccine-Induced Antibody Response Against Clade 6B H1N1 Viruses in Individuals Before Viral Emergence. Open Forum Infect Dis 2020; 7:ofz513. [PMID: 31950072 PMCID: PMC6954487 DOI: 10.1093/ofid/ofz513] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Accepted: 01/06/2020] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Clade 6B H1N1 pdm09 influenza viruses cause substantial morbidity and mortality worldwide. Human antibody profiles elicited upon vaccination against the clade 6B virus are largely unclear before viral emergence. METHODS Healthy volunteers, including children aged 3-8 years, adolescents aged 9-17 years, and adults, were enrolled before the clade 6B H1N1 outbreak and received the 2013-2014 inactivated influenza vaccine. We determined antibody responses before and after vaccination. Vaccine-induced plasmablast-derived antibodies were tested against H1N1 pdm09 reference and clade 6B viruses. RESULTS The majority of the subjects generated robust hemagglutination inhibition and neutralizing antibody responses upon vaccination across the different age groups. Nevertheless, a subset of young adults preferentially produced antibodies that failed to neutralize clade 6B viruses that emerged and circulated in 2014-2016. The hemagglutinin K163Q change at the Sa antigenic site, one of the substitutions that define clade 6B viruses, was responsible for resistance to neutralization by both postvaccination sera and vaccine-induced plasmablast-derived antibodies. CONCLUSIONS Vaccine-induced antibody immunity is compromised by the antigenic change of H1N1 pdm09 virus in a subset of adults, and this may warrant the incorporation of human serology in the antigenic characterization of virus and vaccine strain selection.
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Affiliation(s)
- Kuan-Ying A Huang
- Division of Pediatric Infectious Diseases, Department of Pediatrics, Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Molecular Infectious Disease Research Centre, Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Yhu-Chering Huang
- Division of Pediatric Infectious Diseases, Department of Pediatrics, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Cheng-Hsun Chiu
- Division of Pediatric Infectious Diseases, Department of Pediatrics, Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Molecular Infectious Disease Research Centre, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Kuo-Chien Tsao
- Department of Laboratory Medicine, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Tzou-Yien Lin
- Division of Pediatric Infectious Diseases, Department of Pediatrics, Chang Gung Memorial Hospital, Taoyuan, Taiwan
- College of Medicine, Chang Gung University, Taoyuan, Taiwan
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27
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Chua H, Feng S, Lewnard JA, Sullivan SG, Blyth CC, Lipsitch M, Cowling BJ. The Use of Test-negative Controls to Monitor Vaccine Effectiveness: A Systematic Review of Methodology. Epidemiology 2020; 31:43-64. [PMID: 31609860 PMCID: PMC6888869 DOI: 10.1097/ede.0000000000001116] [Citation(s) in RCA: 103] [Impact Index Per Article: 20.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
BACKGROUND The test-negative design is an increasingly popular approach for estimating vaccine effectiveness (VE) due to its efficiency. This review aims to examine published test-negative design studies of VE and to explore similarities and differences in methodological choices for different diseases and vaccines. METHODS We conducted a systematic search on PubMed, Web of Science, and Medline, for studies reporting the effectiveness of any vaccines using a test-negative design. We screened titles and abstracts and reviewed full texts to identify relevant articles. We created a standardized form for each included article to extract information on the pathogen of interest, vaccine(s) being evaluated, study setting, clinical case definition, choices of cases and controls, and statistical approaches used to estimate VE. RESULTS We identified a total of 348 articles, including studies on VE against influenza virus (n = 253), rotavirus (n = 48), pneumococcus (n = 24), and nine other pathogens. Clinical case definitions used to enroll patients were similar by pathogens of interest but the sets of symptoms that defined them varied substantially. Controls could be those testing negative for the pathogen of interest, those testing positive for nonvaccine type of the pathogen of interest, or a subset of those testing positive for alternative pathogens. Most studies controlled for age, calendar time, and comorbidities. CONCLUSIONS Our review highlights similarities and differences in the application of the test-negative design that deserve further examination. If vaccination reduces disease severity in breakthrough infections, particular care must be taken in interpreting vaccine effectiveness estimates from test-negative design studies.
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Affiliation(s)
- Huiying Chua
- From the World Health Organization Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Shuo Feng
- From the World Health Organization Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Joseph A Lewnard
- Division of Epidemiology, School of Public Health, University of California, Berkeley, Berkeley, CA
| | - Sheena G Sullivan
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, and Doherty Department, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA
- Centre for Epidemiology and Biostatistics, School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Christopher C Blyth
- Division of Paediatrics, School of Medicine, Faculty of Health and Medical Sciences, The University of Western Australia, Perth, Western Australia, Australia
- Wesfarmers Centre of Vaccines and Infectious Diseases, Telethon Kids Institute, Perth, Western Australia, Australia
- Department of Infectious Diseases, Perth Children's Hospital, Perth, Western Australia, Australia
| | - Marc Lipsitch
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA
- Center for Communicable Disease Dynamics, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Benjamin J Cowling
- From the World Health Organization Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, The University of Hong Kong, Hong Kong Special Administrative Region, China
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28
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Kissling E, Pozo F, Buda S, Vilcu AM, Rizzo C, Gherasim A, Horváth JK, Brytting M, Domegan L, Meijer A, Paradowska-Stankiewicz I, Machado A, Vučina VV, Lazar M, Johansen K, Dürrwald R, van der Werf S, Bella A, Larrauri A, Ferenczi A, Zakikhany K, O'Donnell J, Dijkstra F, Bogusz J, Guiomar R, Filipović SK, Pitigoi D, Penttinen P, Valenciano M. Effectiveness of influenza vaccine against influenza A in Europe in seasons of different A(H1N1)pdm09 and the same A(H3N2) vaccine components (2016-17 and 2017-18). Vaccine X 2019; 3:100042. [PMID: 31660536 PMCID: PMC6807025 DOI: 10.1016/j.jvacx.2019.100042] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Revised: 09/13/2019] [Accepted: 09/15/2019] [Indexed: 11/09/2022] Open
Abstract
INTRODUCTION Influenza A(H3N2) viruses predominated in Europe in 2016-17. In 2017-18 A(H3N2) and A(H1N1)pdm09 viruses co-circulated. The A(H3N2) vaccine component was the same in both seasons; while the A(H1N1)pdm09 component changed in 2017-18. In both seasons, vaccine seed A(H3N2) viruses developed adaptations/alterations during propagation in eggs, impacting antigenicity. METHODS We used the test-negative design in a multicentre primary care case-control study in 12 European countries to measure 2016-17 and 2017-18 influenza vaccine effectiveness (VE) against laboratory-confirmed influenza A(H1N1)pdm09 and A(H3N2) overall and by age group. RESULTS During the 2017-18 season, the overall VE against influenza A(H1N1)pdm09 was 59% (95% CI: 47-69). Among those aged 0-14, 15-64 and ≥65 years, VE against A(H1N1)pdm09 was 64% (95% CI: 37-79), 50% (95% CI: 28-66) and 66% (95% CI: 42-80), respectively. Overall VE against influenza A(H3N2) was 28% (95% CI: 17-38) in 2016-17 and 13% (95% CI: -15 to 34) in 2017-18. Among 0-14-year-olds VE against A(H3N2) was 28% (95%CI: -10 to 53) and 29% (95% CI: -87 to 73), among 15-64-year-olds 34% (95% CI: 18-46) and 33% (95% CI: -3 to 56) and among those aged ≥65 years 15% (95% CI: -10 to 34) and -9% (95% CI: -74 to 32) in 2016-17 and 2017-18, respectively. CONCLUSIONS Our study suggests the new A(H1N1)pdm09 vaccine component conferred good protection against circulating strains, while VE against A(H3N2) was <35% in 2016-17 and 2017-18. The egg propagation derived antigenic mismatch of the vaccine seed virus with circulating strains may have contributed to this low effectiveness. A(H3N2) seed viruses for vaccines in subsequent seasons may be subject to the same adaptations; in years with lower than expected VE, recommendations of preventive measures other than vaccination should be given in a timely manner.
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Affiliation(s)
- Esther Kissling
- Epidemiology Department, Epiconcept, 47 rue de Charenton, 75012 Paris, France
| | - Francisco Pozo
- National Centre for Microbiology, National Influenza Reference Laboratory, WHO-National Influenza Centre, Institute of Health Carlos III, Madrid, Spain
| | - Silke Buda
- Robert Koch Institute, Department of Infectious Disease Epidemiology, Respiratory Infections Unit, Seestrasse 10, 13353 Berlin, Germany
| | - Ana-Maria Vilcu
- Sorbonne Université, INSERM, Institut Pierre Louis d’épidémiologie et de Santé Publique (IPLESP UMRS 1136), F-75012, Paris, France
| | - Caterina Rizzo
- Department of Infectious Diseases, National Institute of Health, Rome, Italy
- Bambino Gesù Children’s Hospital, Rome, Italy
| | - Alin Gherasim
- National Epidemiology Centre, Institute of Health Carlos III, Madrid, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid Spain
| | | | - Mia Brytting
- Public Health Agency of Sweden, Stockholm, Sweden
| | - Lisa Domegan
- Health Service Executive-Health Protection Surveillance Centre, 25-27 Middle Gardiner Street, Dublin 1 D01 A4A3, Ireland
| | - Adam Meijer
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | | | - Ausenda Machado
- Departamento de Epidemiologia, Instituto Nacional de Saúde Dr. Ricardo Jorge, Lisbon, Portugal
| | | | - Mihaela Lazar
- “Cantacuzino” National Medico-Military Institute for Research and Development, Bucharest, Romania
| | - Kari Johansen
- European Centre for Disease Prevention and Control (ECDC), Gustav III:s boulevard 40, 169 73 Solna, Sweden
| | - Ralf Dürrwald
- Robert Koch Institute, National Reference Center for Influenza, Seestrasse 10, 13353 Berlin, Germany
| | - Sylvie van der Werf
- Unité de Génétique Moléculaire des Virus à ARN, Institut Pasteur, CNRS UMR3569, Université Paris Diderot SPC, France
- CNR des Virus des Infections Respiratoires, WHO National Influenza Center, Institut Pasteur, France
| | - Antonino Bella
- Department of Infectious Diseases, National Institute of Health, Rome, Italy
| | - Amparo Larrauri
- National Epidemiology Centre, Institute of Health Carlos III, Madrid, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid Spain
| | | | | | - Joan O'Donnell
- Health Service Executive-Health Protection Surveillance Centre, 25-27 Middle Gardiner Street, Dublin 1 D01 A4A3, Ireland
| | - Frederika Dijkstra
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Joanna Bogusz
- National Institute of Public Health-National Institute of Hygiene, Warsaw, Poland
| | - Raquel Guiomar
- Departamento de Doenças Infeciosas, Instituto Nacional de Saúde Dr. Ricardo Jorge, Portugal
| | | | - Daniela Pitigoi
- Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
| | - Pasi Penttinen
- European Centre for Disease Prevention and Control (ECDC), Gustav III:s boulevard 40, 169 73 Solna, Sweden
| | - Marta Valenciano
- Epidemiology Department, Epiconcept, 47 rue de Charenton, 75012 Paris, France
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29
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Glatman-Freedman A, Amir K, Dichtiar R, Zadka H, Vainer I, Karolinsky D, Enav T, Shohat T. Factors associated with childhood influenza vaccination in Israel: a cross-sectional evaluation. Isr J Health Policy Res 2019; 8:82. [PMID: 31771629 PMCID: PMC6878635 DOI: 10.1186/s13584-019-0349-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2019] [Accepted: 10/25/2019] [Indexed: 11/15/2022] Open
Abstract
Background Vaccinating children against influenza has shown both direct and indirect beneficial effects. However, despite being offered free of charge, childhood influenza vaccine coverage in Israel has been low. Our objective was to evaluate the factors associated with childhood influenza vaccination in Israel. Methods A cross-sectional language-specific telephone survey was conducted among adults 18 years or older, to examine childhood influenza vaccination practices and their associations with socio-demographic and relevant health variables. We further explored the reasons for these practices among parents. Multivariate logistic regression was used to identify factors associated with childhood influenza vaccine acceptance. Results Of a total of 6518 individuals contacted by mobile phone, 1165 eligible parents, ≥18 years old with children 1–18 years of age, were interviewed, and 1040 of them completed the survey successfully. Overall, factors associated with childhood influenza vaccination were younger child’s age, influenza vaccination of other family members and belonging to the Arab population group. No association was found between childhood influenza vaccination and routine childhood vaccine uptake. Several of the parents’ reasons for vaccine acceptance - preventing influenza or its transmission, awareness regarding the need for influenza vaccination and receipt of invitation to get vaccinated - differed significantly between Jewish and Arab parents. Several reasons reported by parents for not vaccinating children against influenza, indicated a likelihood to accept influenza vaccine outreach efforts. Such reasons were reported by 27.5% of Jewish parents and 37.5% of Arab parents. Conclusions We found that certain demographic factors were associated with childhood influenza vaccination in Israel. Several reasons described by the parent for not vaccinating their children indicate that outreach efforts are likely to increase childhood influenza vaccination. Addressing population group-specific needs is recommended to optimize the success of influenza vaccine outreach efforts.
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Affiliation(s)
- Aharona Glatman-Freedman
- Israel Center for Disease Control, Israel Ministry of Health, Tel-Hashomer, Ramat-Gan, Israel. .,Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
| | - Kanar Amir
- Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Rita Dichtiar
- Israel Center for Disease Control, Israel Ministry of Health, Tel-Hashomer, Ramat-Gan, Israel
| | - Hila Zadka
- Israel Center for Disease Control, Israel Ministry of Health, Tel-Hashomer, Ramat-Gan, Israel
| | - Ifat Vainer
- Israel Center for Disease Control, Israel Ministry of Health, Tel-Hashomer, Ramat-Gan, Israel
| | - Dolev Karolinsky
- Israel Center for Disease Control, Israel Ministry of Health, Tel-Hashomer, Ramat-Gan, Israel
| | - Teena Enav
- Israel Center for Disease Control, Israel Ministry of Health, Tel-Hashomer, Ramat-Gan, Israel
| | - Tamy Shohat
- Israel Center for Disease Control, Israel Ministry of Health, Tel-Hashomer, Ramat-Gan, Israel.,Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
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30
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Pebody RG, Whitaker H, Ellis J, Andrews N, Marques DFP, Cottrell S, Reynolds AJ, Gunson R, Thompson C, Galiano M, Lackenby A, Robertson C, O'Doherty MG, Owens K, Yonova I, Shepherd SJ, Moore C, Johnston J, Donati M, McMenamin J, Lusignan SD, Zambon M. End of season influenza vaccine effectiveness in primary care in adults and children in the United Kingdom in 2018/19. Vaccine 2019; 38:489-497. [PMID: 31685296 DOI: 10.1016/j.vaccine.2019.10.071] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2019] [Revised: 10/16/2019] [Accepted: 10/25/2019] [Indexed: 01/30/2023]
Abstract
2018/19 was the first season of introduction of a newly licensed adjuvanted influenza vaccine (aTIV) for adults aged 65 years and over and the sixth season in the roll-out of a childhood influenza vaccination programme with a quadrivalent live attenuated influenza vaccine (LAIV). The season saw mainly A(H1N1)pdm09 and latterly A(H3N2) circulation. End-of-season adjusted vaccine effectiveness (aVE) estimates against laboratory confirmed influenza infection in primary care were calculated using the test negative case control method adjusting for key confounders. End-of-season aVE was 44.3% (95% CI: 26.8, 57.7) against all laboratory-confirmed influenza; 45.7% (95% CI: 26.0, 60.1) against influenza A(H1N1)pdm09 and 35.1% (95% CI: -3.7,59.3) against A(H3N2). Overall aVE was 49.9% (95%CI: -13.7, 77.9) for all those ≥ 65 years of age and 62.0% (95% CI: 3.4, 85.0) for those who received aTIV. Overall aVE for 2-17 year olds receiving LAIV was 48.6% (95% CI: -4.4, 74.7). The paper provides evidence of overall significant influenza VE in 2018/19, most notably against influenza A(H1N1)pdm09, however, as seen in 2017/18, there was reduced, non-significant VE against A(H3N2). aTIV provided significant protection for those 65 years of age and over.
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Affiliation(s)
| | | | | | | | | | | | | | - Rory Gunson
- West of Scotland Specialist Virology Centre, Glasgow, United Kingdom
| | | | | | | | | | | | - Katie Owens
- Public Health England, London, United Kingdom
| | - Ivelina Yonova
- University of Surrey Guildford, United Kingdom; Royal College of General Practitioners Research and Surveillance Centre, London, United Kingdom
| | | | | | | | | | | | - Simon de Lusignan
- Royal College of General Practitioners Research and Surveillance Centre, London, United Kingdom; Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
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31
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Hill EM, Petrou S, de Lusignan S, Yonova I, Keeling MJ. Seasonal influenza: Modelling approaches to capture immunity propagation. PLoS Comput Biol 2019; 15:e1007096. [PMID: 31658250 PMCID: PMC6837557 DOI: 10.1371/journal.pcbi.1007096] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2019] [Revised: 11/07/2019] [Accepted: 10/01/2019] [Indexed: 11/18/2022] Open
Abstract
Seasonal influenza poses serious problems for global public health, being a significant contributor to morbidity and mortality. In England, there has been a long-standing national vaccination programme, with vaccination of at-risk groups and children offering partial protection against infection. Transmission models have been a fundamental component of analysis, informing the efficient use of limited resources. However, these models generally treat each season and each strain circulating within that season in isolation. Here, we amalgamate multiple data sources to calibrate a susceptible-latent-infected-recovered type transmission model for seasonal influenza, incorporating the four main strains and mechanisms linking prior season epidemiological outcomes to immunity at the beginning of the following season. Data pertaining to nine influenza seasons, starting with the 2009/10 season, informed our estimates for epidemiological processes, virological sample positivity, vaccine uptake and efficacy attributes, and general practitioner influenza-like-illness consultations as reported by the Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC). We performed parameter inference via approximate Bayesian computation to assess strain transmissibility, dependence of present season influenza immunity on prior protection, and variability in the influenza case ascertainment across seasons. This produced reasonable agreement between model and data on the annual strain composition. Parameter fits indicated that the propagation of immunity from one season to the next is weaker if vaccine derived, compared to natural immunity from infection. Projecting the dynamics forward in time suggests that while historic immunity plays an important role in determining annual strain composition, the variability in vaccine efficacy hampers our ability to make long-term predictions.
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Affiliation(s)
- Edward M. Hill
- Zeeman Institute: Systems Biology and Infectious Disease Epidemiology Research (SBIDER), University of Warwick, Coventry, United Kingdom
- Mathematics Institute, University of Warwick, Coventry, United Kingdom
| | - Stavros Petrou
- Warwick Clinical Trials Unit, Warwick Medical School, University of Warwick, Coventry, United Kingdom
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Simon de Lusignan
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
- Royal College of General Practitioners, London, United Kingdom
| | - Ivelina Yonova
- Royal College of General Practitioners, London, United Kingdom
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, United Kingdom
| | - Matt J. Keeling
- Zeeman Institute: Systems Biology and Infectious Disease Epidemiology Research (SBIDER), University of Warwick, Coventry, United Kingdom
- Mathematics Institute, University of Warwick, Coventry, United Kingdom
- School of Life Sciences, University of Warwick, Coventry, United Kingdom
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32
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Pebody RG, Sinnathamby MA, Warburton F, Andrews N, Boddington NL, Zhao H, Yonova I, Ellis J, Tessier E, Donati M, Elliot AJ, Hughes HE, Pathirannehelage S, Byford R, Smith GE, de Lusignan S, Zambon M. Uptake and impact of vaccinating primary school-age children against influenza: experiences of a live attenuated influenza vaccine programme, England, 2015/16. ACTA ACUST UNITED AC 2019; 23. [PMID: 29945698 DOI: 10.2807/1560-7917.es.2018.23.25.1700496] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
The 2015/16 influenza season was the third season of the introduction of an intra-nasally administered live attenuated influenza vaccine (LAIV) for children in England. All children aged 2‒6 years were offered LAIV, and in addition, a series of geographically discrete areas piloted vaccinating school-age children 7‒11 years old. Influenza A(H1N1)pdm09 was the dominant circulating strain during 2015/16 followed by influenza B. We measured influenza vaccine uptake and the overall and indirect effect of vaccinating children of primary school -age, by comparing cumulative disease incidence in targeted and non-targeted age groups in vaccine pilot and non-pilot areas in England. Uptake of 57.9% (range: 43.6-72.0) was achieved in the five pilot areas for children aged 5‒11 years. In pilot areas, cumulative emergency department respiratory attendances, influenza-confirmed hospitalisations and intensive care unit admissions were consistently lower, albeit mostly non-significantly, in targeted and non-targeted age groups compared with non-pilot areas. Effect sizes were less for adults and more severe endpoints. Vaccination of healthy primary school-age children with LAIV at moderately high levels continues to be associated with population-level reductions in influenza-related respiratory illness. Further work to evaluate the population-level impact of the programme is required.
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Affiliation(s)
| | | | - Fiona Warburton
- Public Health England (PHE), Colindale, London, United Kingdom
| | - Nick Andrews
- Public Health England (PHE), Colindale, London, United Kingdom
| | | | - Hongxin Zhao
- Public Health England (PHE), Colindale, London, United Kingdom
| | - Ivelina Yonova
- University of Surrey, Guildford, United Kingdom.,Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC), London, United Kingdom
| | - Joanna Ellis
- Public Health England (PHE), Colindale, London, United Kingdom
| | - Elise Tessier
- Public Health England (PHE), Colindale, London, United Kingdom
| | | | - Alex J Elliot
- Public Health England (PHE), Birmingham, United Kingdom
| | | | - Sameera Pathirannehelage
- University of Surrey, Guildford, United Kingdom.,Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC), London, United Kingdom
| | - Rachel Byford
- University of Surrey, Guildford, United Kingdom.,Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC), London, United Kingdom
| | | | - Simon de Lusignan
- University of Surrey, Guildford, United Kingdom.,Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC), London, United Kingdom
| | - Maria Zambon
- Public Health England (PHE), Colindale, London, United Kingdom
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33
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Murray JLK, Marques DFP, Cameron RL, Potts A, Bishop J, von Wissmann B, William N, Reynolds AJ, Robertson C, McMenamin J. Moving epidemic method (MEM) applied to virology data as a novel real time tool to predict peak in seasonal influenza healthcare utilisation. The Scottish experience of the 2017/18 season to date. ACTA ACUST UNITED AC 2019; 23. [PMID: 29560854 PMCID: PMC5861591 DOI: 10.2807/1560-7917.es.2018.23.11.18-00079] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Scotland observed an unusual influenza A(H3N2)-dominated 2017/18 influenza season with healthcare services under significant pressure. We report the application of the moving epidemic method (MEM) to virology data as a tool to predict the influenza peak activity period and peak week of swab positivity in the current season. This novel MEM application has been successful locally and is believed to be of potential use to other countries for healthcare planning and building wider community resilience.
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Affiliation(s)
| | | | - Ross L Cameron
- Health Protection Scotland (HPS), Glasgow, United Kingdom
| | | | | | | | - Naoma William
- Health Protection Scotland (HPS), Glasgow, United Kingdom
| | | | - Chris Robertson
- University of Strathclyde, Glasgow, United Kingdom.,Health Protection Scotland (HPS), Glasgow, United Kingdom
| | - Jim McMenamin
- Health Protection Scotland (HPS), Glasgow, United Kingdom
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34
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Hönemann M, Martin D, Pietsch C, Maier M, Bergs S, Bieck E, Liebert UG. Influenza B virus infections in Western Saxony, Germany in three consecutive seasons between 2015 and 2018: Analysis of molecular and clinical features. Vaccine 2019; 37:6550-6557. [PMID: 31521415 PMCID: PMC7115636 DOI: 10.1016/j.vaccine.2019.08.027] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2019] [Revised: 08/14/2019] [Accepted: 08/16/2019] [Indexed: 11/19/2022]
Abstract
BACKGROUND The impact of annual influenza epidemics and prevailing strains varies worldwide and regional. The majority of vaccines used contained two influenza A strains and only one influenza B strain (trivalent vaccine). AIM The aim of the study was to compare laboratory confirmed influenza B cases during three consecutive years with respect to vaccination history, clinical symptoms and molecular virology. METHODS Partial HA gene sequences were analyzed for lineage determination and complete HA sequence in cases with reported vaccination and in fatal cases. Clinical data were retrieved from patient charts. FINDINGS During the 2015/16 season, 75 influenza B cases were retrieved; 11 in 2016/17, and 274 in 2017/18. The frequency of Yamagata-lineage strains increased from 7.6% to 100%. No difference was detected in the relative frequency of co-morbidities in season 2017/18. 37.7% of the adult patients and 4.5% of pediatric patients were vaccinated against influenza. INTERPRETATION Phylogenetically, Yamagata strains clustered similarly in 2017/2018 when compared to the previous two influenza seasons. While the relative frequency of influenza B cases differed, the clinical symptoms remained similar. CONCLUSION World Health Organization recommendations for the use of tetravalent vaccines that contain two influenza B strains (Yamagata and Victoria) in addition to the two influenza A strains (H1N1 and H3N2) should be implemented in national vaccination guidelines. FUNDING This research was partially supported by the Association of Sponsors and Friends of Leipzig University.
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Affiliation(s)
- M Hönemann
- Institute of Virology, Leipzig University, Johannisallee 30, 04103 Leipzig, Germany.
| | - D Martin
- Institute of Virology, Leipzig University, Johannisallee 30, 04103 Leipzig, Germany
| | - C Pietsch
- Institute of Virology, Leipzig University, Johannisallee 30, 04103 Leipzig, Germany
| | - M Maier
- Institute of Virology, Leipzig University, Johannisallee 30, 04103 Leipzig, Germany
| | - S Bergs
- Institute of Virology, Leipzig University, Johannisallee 30, 04103 Leipzig, Germany
| | - E Bieck
- Kreiskrankenhaus Torgau "J. Kentmann" gGmbH, 04860 Torgau, Germany
| | - U G Liebert
- Institute of Virology, Leipzig University, Johannisallee 30, 04103 Leipzig, Germany
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35
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Islam S, Zhou F, Lartey S, Mohn KGI, Krammer F, Cox RJ, Brokstad KA. Functional immune response to influenza H1N1 in children and adults after live attenuated influenza virus vaccination. Scand J Immunol 2019; 90:e12801. [PMID: 31269273 DOI: 10.1111/sji.12801] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2019] [Revised: 06/20/2019] [Accepted: 06/28/2019] [Indexed: 02/02/2023]
Abstract
Influenza virus is a major respiratory pathogen, and vaccination is the main method of prophylaxis. In 2012, the trivalent live attenuated influenza vaccine (LAIV) was licensed in Europe for use in children. Vaccine-induced antibodies directed against the main viral surface glycoproteins, haemagglutinin (HA) and neuraminidase (NA) play important roles in limiting virus infection. The objective of this study was to dissect the influenza-specific antibody responses in children and adults, and T cell responses in children induced after LAIV immunization to the A/H1N1 virus. Blood samples were collected pre- and at 28 and 56 days post-vaccination from 20 children and 20 adults. No increase in micro-neutralization (MN) antibodies against A/H1N1 was observed after vaccination. A/H1N1 stalk-specific neutralizing and NA-inhibiting (NI) antibodies were boosted in children after LAIV. Interferon γ-producing T cells increased significantly in children, and antibody-dependent cellular-mediated cytotoxic (ADCC) cell activity increased slightly in children after vaccination, although this change was not significant. The results indicate that the NI assay is more sensitive to qualitative changes in serum antibodies after LAIV. There was a considerable difference in the immune response in children and adults after vaccination, which may be related to priming and previous influenza history. Our findings warrant further studies for evaluating LAIV vaccination immunogenicity.
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Affiliation(s)
- Shahinul Islam
- Department of Clinical Science, Influenza Centre, University of Bergen, Bergen, Norway.,Department of Clinical Science, K.G. Jebsen Centre for Influenza Vaccine Research, University of Bergen, Bergen, Norway
| | - Fan Zhou
- Department of Clinical Science, Influenza Centre, University of Bergen, Bergen, Norway.,Department of Clinical Science, K.G. Jebsen Centre for Influenza Vaccine Research, University of Bergen, Bergen, Norway
| | - Sarah Lartey
- Department of Clinical Science, Influenza Centre, University of Bergen, Bergen, Norway.,Department of Clinical Science, K.G. Jebsen Centre for Influenza Vaccine Research, University of Bergen, Bergen, Norway
| | - Kristin G I Mohn
- Department of Clinical Science, Influenza Centre, University of Bergen, Bergen, Norway.,Emergency Care Clinic, Haukeland University Hospital, Bergen, Norway
| | - Florian Krammer
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Rebecca Jane Cox
- Department of Clinical Science, Influenza Centre, University of Bergen, Bergen, Norway.,Department of Clinical Science, K.G. Jebsen Centre for Influenza Vaccine Research, University of Bergen, Bergen, Norway.,Department of Research & Development, Haukeland University Hospital, Bergen, Norway
| | - Karl Albert Brokstad
- Department of Clinical Science, Broegelmann Research Laboratory, University of Bergen, Bergen, Norway
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36
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Hay JA, Laurie K, White M, Riley S. Characterising antibody kinetics from multiple influenza infection and vaccination events in ferrets. PLoS Comput Biol 2019; 15:e1007294. [PMID: 31425503 PMCID: PMC6715255 DOI: 10.1371/journal.pcbi.1007294] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2019] [Revised: 08/29/2019] [Accepted: 07/29/2019] [Indexed: 12/20/2022] Open
Abstract
The strength and breadth of an individual's antibody repertoire is an important predictor of their response to influenza infection or vaccination. Although progress has been made in understanding qualitatively how repeated exposures shape the antibody mediated immune response, quantitative understanding remains limited. We developed a set of mathematical models describing short-term antibody kinetics following influenza infection or vaccination and fit them to haemagglutination inhibition (HI) titres from 5 groups of ferrets which were exposed to different combinations of trivalent inactivated influenza vaccine (TIV with or without adjuvant), A/H3N2 priming inoculation and post-vaccination A/H1N1 inoculation. We fit models with various immunological mechanisms that have been empirically observed but have not previously been included in mathematical models of antibody landscapes, including: titre ceiling effects, antigenic seniority and exposure-type specific cross reactivity. Based on the parameter estimates of the best supported models, we describe a number of key immunological features. We found quantifiable differences in the degree of homologous and cross-reactive antibody boosting elicited by different exposure types. Infection and adjuvanted vaccination generally resulted in strong, broadly reactive responses whereas unadjuvanted vaccination resulted in a weak, narrow response. We found that the order of exposure mattered: priming with A/H3N2 improved subsequent vaccine response, and the second dose of adjuvanted vaccination resulted in substantially greater antibody boosting than the first. Either antigenic seniority or a titre ceiling effect were included in the two best fitting models, suggesting a role for a mechanism describing diminishing antibody boosting with repeated exposures. Although there was considerable uncertainty in our estimates of antibody waning parameters, our results suggest that both short and long term waning were present and would be identifiable with a larger set of experiments. These results highlight the potential use of repeat exposure animal models in revealing short-term, strain-specific immune dynamics of influenza.
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MESH Headings
- Adjuvants, Immunologic/administration & dosage
- Animals
- Antibodies, Viral/blood
- Computational Biology
- Cross Reactions
- Disease Models, Animal
- Ferrets/immunology
- Humans
- Immunization, Secondary
- Influenza A Virus, H1N1 Subtype/immunology
- Influenza A Virus, H3N2 Subtype/immunology
- Influenza Vaccines/administration & dosage
- Influenza, Human/immunology
- Influenza, Human/prevention & control
- Kinetics
- Models, Immunological
- Orthomyxoviridae Infections/immunology
- Orthomyxoviridae Infections/virology
- Vaccines, Inactivated/administration & dosage
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Affiliation(s)
- James A. Hay
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, United Kingdom
| | - Karen Laurie
- WHO Collaborating Centre for Reference and Research on Influenza, Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
- Seqirus, 63 Poplar Road, Parkville, Victoria, Australia
| | - Michael White
- Malaria: Parasites and Hosts, Department of Parasites and Insect Vectors, Institut Pasteur, Paris, France
| | - Steven Riley
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, United Kingdom
- * E-mail:
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37
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Shibata N, Kimura S, Hoshino T, Urushihara H. Influenza vaccination effectiveness for people aged under 65 years in Japan, 2013/2014 season: application of a doubly robust method to a large-scale, real-world dataset. BMC Infect Dis 2019; 19:586. [PMID: 31277580 PMCID: PMC6612174 DOI: 10.1186/s12879-019-4186-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2019] [Accepted: 06/12/2019] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Influenza vaccination is recognized as a primary public health intervention which prevents the illness of patients and relieves the societal burdens of influenza for medical community as well as the economy. To date, no effectiveness study of influenza vaccination has been conducted including a large population with a wide age span, in Japan. Here, we evaluated the clinical effectiveness of influenza vaccination in a large Japanese population. METHODS We conducted a cohort study using a large-scale claims database for employee health care insurance plans. Vaccination status was identified using plan records for influenza vaccination subsidies. We excluded people aged 65 years or more because of the unavailability of vaccination records. Effectiveness of vaccination in preventing influenza and its complication was evaluated with doubly robust methods using inversed probability treatment weighting to adjust health conscious behaviours and other confounders. RESULTS During the 2013/2014 influenza season, 369,425 subjects with age range from 1 to 64 years were eligible. Vaccination rate was 39.5% and an estimated odds ratio (OR) for influenza onset was 0.775 after doubly robust adjustment. Age-stratified ORs were significantly reduced in all age groups; lowest in subjects aged 1 to 4 years (0.600) and highest in those aged 13 to 19 (0.938). ORs for all the influenza complication outcomes were also statistically significant (0.403-0.709). CONCLUSIONS We confirmed the clinical effectiveness of influenza vaccination in people aged 1 to 64 years. Influenza vaccination significantly prevented influenza onset and was more effective in reducing secondary risks of influenza complications.
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Affiliation(s)
- Natsumi Shibata
- Department of Drug Development and Regulatory Science, Faculty of Pharmacy, Keio University, 1-5-30 Shibakoen, Minato-ku, Tokyo, 105-8512, Japan
| | - Shinya Kimura
- Japan Medical Data Center Co., Ltd, Sumitomo Shibadaimon Building 12F, 2-5-5 Shibadaimon, Minato-ku, Tokyo, 105-0012, Japan
| | - Takahiro Hoshino
- Department of Economics, Faculty of Economics, Keio University, 2-15-45 Mita, Minato-ku, Tokyo, 108-8345, Japan
| | - Hisashi Urushihara
- Department of Drug Development and Regulatory Science, Faculty of Pharmacy, Keio University, 1-5-30 Shibakoen, Minato-ku, Tokyo, 105-8512, Japan.
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38
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Gianchecchi E, Manenti A, Kistner O, Trombetta C, Manini I, Montomoli E. How to assess the effectiveness of nasal influenza vaccines? Role and measurement of sIgA in mucosal secretions. Influenza Other Respir Viruses 2019; 13:429-437. [PMID: 31225704 PMCID: PMC6692539 DOI: 10.1111/irv.12664] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2018] [Revised: 05/27/2019] [Accepted: 05/29/2019] [Indexed: 01/07/2023] Open
Abstract
Secretory IgAs (sIgA) constitute the principal isotype of antibodies present in nasal and mucosal secretions. They are secreted by plasma cells adjacent to the mucosal epithelial cells, the site where infection occurs, and are the main humoral mediator of mucosal immunity. Mucosally delivered vaccines, such as live attenuated influenza vaccine (LAIV), are able to mimic natural infection without causing disease or virus transmission and mainly elicit a local immune response. The measurement of sIgA concentrations in nasal swab/wash and saliva samples is therefore a valuable tool for evaluating their role in the effectiveness of such vaccines. Here, we describe two standardized assays (enzyme‐linked immunosorbent assay and microneutralization) available for the quantification of sIgA and discuss the advantages and limitations of their use.
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Affiliation(s)
| | | | | | - Claudia Trombetta
- Department of Molecular and Developmental Medicine, University of Siena, Siena, Italy
| | - Ilaria Manini
- Department of Molecular and Developmental Medicine, University of Siena, Siena, Italy
| | - Emanuele Montomoli
- VisMederi Srl, Siena, Italy.,VisMederi Research Srl, Siena, Italy.,Department of Molecular and Developmental Medicine, University of Siena, Siena, Italy
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39
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Corson S, Robertson C, Reynolds A, McMenamin J. Modelling the population effectiveness of the national seasonal influenza vaccination programme in Scotland: The impact of targeting all individuals aged 65 years and over. Influenza Other Respir Viruses 2019; 13:354-363. [PMID: 29908098 PMCID: PMC6586176 DOI: 10.1111/irv.12583] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/18/2018] [Indexed: 12/01/2022] Open
Abstract
BACKGROUND For the last 17 years, the UK has employed a routine influenza vaccination programme with the aim of reducing the spread of seasonal influenza. In mid-2000, the programme moved from a purely risk-based approach to a risk and age group-targeted approach with all those aged 65+ years being included. To date, there has been no assessment of the population effectiveness of this age-targeted policy in Scotland. OBJECTIVES Statistical modelling techniques were used to determine what impact the routine vaccination of those aged 65+ years has had on influenza-related morbidity and mortality in Scotland. METHODS Two Poisson regression models were developed using weekly counts of all-cause mortality, cause-specific mortality and emergency hospitalisations for the period 1981-2012, one using week-in-year and the other using temperature to capture the seasonal variability in mortality/hospitalisations. These models were used to determine the number of excess deaths/hospitalisations associated with the introduction of the local risk and age-based vaccination programme in 2000. RESULTS Routinely vaccinating those aged 65+ years is associated with a reduction in excess all-cause mortality, cardiovascular and COPD-related mortality and COPD-related hospitalisations. Our analysis suggests that using the week-in-year model, on average, 732 (95% CI 66-1398) deaths from all causes, 248 (95% CI 10-486) cardiovascular-related deaths, 123 (95% CI 28-218) COPD-related deaths and 425 (95% CI 258-592) COPD-related hospitalisations have been prevented each flu season among the those aged 65+. Similar results were found using the temperature model. There was no evidence to suggest that the change in policy was associated with reductions in influenza/pneumonia-related mortality or influenza/cardiovascular-related hospitalisations. CONCLUSIONS Routinely vaccinating those aged 65+ years appears to have reduced influenza-related morbidity and mortality in Scotland. With the childhood vaccination programme well underway, these data provide an importance benchmark which can be used to accurately assess the impact of this new seasonal influenza vaccination programme.
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Affiliation(s)
- Stephen Corson
- Department of Mathematics and Statistics, University of Strathclyde, Glasgow, UK
| | - Chris Robertson
- Department of Mathematics and Statistics, University of Strathclyde, Glasgow, UK.,Health Protection Scotland, Glasgow, UK
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40
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Puig-Barberà J, Mira-Iglesias A, Burtseva E, Cowling BJ, Serhat U, Ruiz-Palacios GM, Launay O, Kyncl J, Koul P, Siqueira MM, Sominina A. Influenza epidemiology and influenza vaccine effectiveness during the 2015-2016 season: results from the Global Influenza Hospital Surveillance Network. BMC Infect Dis 2019; 19:415. [PMID: 31088481 PMCID: PMC6518734 DOI: 10.1186/s12879-019-4017-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2018] [Accepted: 04/24/2019] [Indexed: 01/28/2023] Open
Abstract
BACKGROUND The Global Influenza Hospital Surveillance Network is an international platform whose primary objective is to study severe cases of influenza requiring hospitalization. METHODS During the 2015-2016 influenza season, 11 sites in the Global Influenza Hospital Surveillance Network in nine countries (Russian Federation, Czech Republic, Turkey, France, China, Spain, Mexico, India, and Brazil) participated in a prospective, active-surveillance, hospital-based epidemiological study. Influenza infection was confirmed by reverse transcription-polymerase chain reaction. Influenza vaccine effectiveness (IVE) against laboratory-confirmed influenza was estimated using a test-negative approach. RESULTS 9882 patients with laboratory results were included of which 2415 (24.4%) were positive for influenza, including 1415 (14.3%) for A(H1N1)pdm09, 235 (2.4%) for A(H3N2), 180 (1.8%) for A not subtyped, 45 (0.5%) for B/Yamagata-lineage, 532 (5.4%) for B/Victoria-lineage, and 33 (0.3%) for B not subtyped. Of included admissions, 39% were < 5 years of age and 67% had no underlying conditions. The odds of being admitted with influenza were higher among pregnant than non-pregnant women (odds ratio, 2.82 [95% confidence interval (CI), 1.90 to 4.19]). Adjusted IVE against influenza-related hospitalization was 16.3% (95% CI, 0.4 to 29.7). Among patients targeted for influenza vaccination, adjusted IVE against hospital admission with influenza was 16.2% (95% CI, - 3.6 to 32.2) overall, 23.0% (95% CI, - 3.3 to 42.6) against A(H1N1)pdm09, and - 25.6% (95% CI, - 86.3 to 15.4) against B/Victoria lineage. CONCLUSIONS The 2015-2016 influenza season was dominated by A(H1N1)pdm09 and B/Victoria-lineage. Hospitalization with influenza often occurred in healthy and young individuals, and pregnant women were at increased risk of influenza-related hospitalization. Influenza vaccines provided low to moderate protection against hospitalization with influenza and no protection against the predominant circulating B lineage, highlighting the need for more effective and broader influenza vaccines.
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Affiliation(s)
- Joan Puig-Barberà
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana, FISABIO, Valencia, Spain
| | - Ainara Mira-Iglesias
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana, FISABIO, Valencia, Spain
| | - Elena Burtseva
- Ivanovsky Institute of Virology FSBI “N.F, Gamaleya NRCEM” Ministry of Health, Moscow, Russian Federation
| | - Benjamin J. Cowling
- School of Public Health, Li Ka Shing Faculty of Medicine, Hong Kong, Hong Kong, Special Administrative Region of China
| | - Unal Serhat
- Turkish Society of Internal Medicine, Ankara, Turkey
| | - Guillermo Miguel Ruiz-Palacios
- Salvador Zubirán National Institute of Medical Sciences and Nutrition (INCMNSZ), Vasco de Quiroga 15, Belisario Domínguez Sección 16, 14080 Tlalpan, CDMX Mexico
| | - Odile Launay
- INSERM, F-CRIN, Réseau National d’Investigation Clinique en Vaccinologie (I-REIVAC), CIC Cochin Pasteur, Paris, France and Université Paris Descartes, Sorbonne Paris Cité and Assistance Publique Hôpitaux de Paris, Hôpital Cochin, Paris, France
| | - Jan Kyncl
- National Institute of Public Health, Prague, Czech Republic
| | - Parvaiz Koul
- Department of Internal and Pulmonary Medicine, Sher-i-Kashmir Institute of Medical Sciences (SKIMS), Soura, Bemina, Srinagar, Jammu & Kashmir 190011 India
| | | | - Anna Sominina
- Research Institute of Influenza, WHO National Influenza Centre of Russia and Ministry of Healthcare of the Russian Federation, St. Petersburg, Russian Federation
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41
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Rondy M, Kissling E, Emborg HD, Gherasim A, Pebody R, Trebbien R, Pozo F, Larrauri A, McMenamin J, Valenciano M. Interim 2017/18 influenza seasonal vaccine effectiveness: combined results from five European studies. ACTA ACUST UNITED AC 2019; 23. [PMID: 29510782 PMCID: PMC5840921 DOI: 10.2807/1560-7917.es.2018.23.9.18-00086] [Citation(s) in RCA: 54] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Between September 2017 and February 2018, influenza A(H1N1)pdm09, A(H3N2) and B viruses (mainly B/Yamagata, not included in 2017/18 trivalent vaccines) co-circulated in Europe. Interim results from five European studies indicate that, in all age groups, 2017/18 influenza vaccine effectiveness was 25 to 52% against any influenza, 55 to 68% against influenza A(H1N1)pdm09, −42 to 7% against influenza A(H3N2) and 36 to 54% against influenza B. 2017/18 influenza vaccine should be promoted where influenza still circulates.
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Affiliation(s)
- Marc Rondy
- MR and EK contributed equally to the study and manuscript writing.,EpiConcept, Paris, France
| | - Esther Kissling
- MR and EK contributed equally to the study and manuscript writing.,EpiConcept, Paris, France
| | - Hanne-Dorthe Emborg
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
| | - Alin Gherasim
- National Epidemiology Centre, Institute of Health Carlos III, Madrid Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid Spain
| | | | - Ramona Trebbien
- Department of Virus and Microbiological Special diagnostics, National Influenza Center, Statens Serum Institut, Copenhagen, Denmark
| | - Francisco Pozo
- Inmaculada Casas National Centre for Microbiology, National Influenza Reference Laboratory, World Health Organization National Influenza Centre, Institute of Health Carlos III
| | - Amparo Larrauri
- National Epidemiology Centre, Institute of Health Carlos III, Madrid Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid Spain
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- The members of the I-MOVE/I-MOVE+ group are listed at the end of the article
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42
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Yaron-Yakoby H, Sefty H, Pando R, Dichtiar R, Katz MA, Stein Y, Mandelboim M, Mendelson E, Shohat T, Glatman-Freedman A. Effectiveness of influenza vaccine in preventing medically-attended influenza virus infection in primary care, Israel, influenza seasons 2014/15 and 2015/16. ACTA ACUST UNITED AC 2019; 23. [PMID: 29471622 PMCID: PMC5824129 DOI: 10.2807/1560-7917.es.2018.23.7.17-00026] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Influenza vaccine is recommended for the entire population in Israel. We assessed influenza vaccine effectiveness (VE) for the 2014/15 and 2015/16 seasons in Israel, for the first time. Methods: Combined nose and throat swab specimens were collected from patients with influenza-like illness (ILI) presenting to sentinel primary care clinics and tested for influenza virus by RT-PCR. VE of the trivalent inactivated vaccine (TIV) was assessed using test-negative case–control design. Results: During the 2014/15 season 1,142 samples were collected; 327 (28.6%) were positive for influenza, 83.8% A(H3N2), 5.8% A(H1N1)pdm09, 9.2% B and 1.2% A un-subtyped. Adjusted VE against all influenza viruses for this influenza season was −4.8% (95% confidence interval (CI): −54.8 to 29.0) and against influenza A(H3N2), it was −15.8% (95% CI: −72.8 to 22.4). For the 2015/16 season, 1,919 samples were collected; 853 (44.4%) were positive for influenza, 43.5% A(H1N1)pdm09, 57% B, 0.7% A(H3N2) and 11 samples positive for both A(H1N1)pdm09 and B. Adjusted VE against all influenza viruses for this influenza season was 8.8% (95% CI: −25.1 to 33.5), against influenza A(H1N1)pdm09, it was 32.3% (95% CI: (−4.3 to 56.1) and against influenza B, it was −2.2% (95% CI: (−47.0 to 29.0). Conclusions: Using samples from patients with ILI visiting sentinel clinics in Israel, we demonstrated the feasibility of influenza VE estimation in Israel.
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Affiliation(s)
- Hamutal Yaron-Yakoby
- Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine Tel Aviv University, Tel Aviv, Israel
| | - Hanna Sefty
- Israel Center for Disease Control, Israel Ministry of Health, Tel Hashomer, Ramat Gan, Israel
| | - Rakefet Pando
- Central Virology Laboratory, Israel Ministry of Health, Chaim Sheba Medical Center, Ramat Gan, Israel.,Israel Center for Disease Control, Israel Ministry of Health, Tel Hashomer, Ramat Gan, Israel
| | - Rita Dichtiar
- Israel Center for Disease Control, Israel Ministry of Health, Tel Hashomer, Ramat Gan, Israel
| | - Mark A Katz
- School of Public Health, University of Michigan, Ann Arbor, Michigan, United States.,Ben Gurion University, Beer Sheva, Israel
| | - Yaniv Stein
- Israel Center for Disease Control, Israel Ministry of Health, Tel Hashomer, Ramat Gan, Israel
| | - Michal Mandelboim
- Central Virology Laboratory, Israel Ministry of Health, Chaim Sheba Medical Center, Ramat Gan, Israel.,Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine Tel Aviv University, Tel Aviv, Israel
| | - Ella Mendelson
- Central Virology Laboratory, Israel Ministry of Health, Chaim Sheba Medical Center, Ramat Gan, Israel.,Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine Tel Aviv University, Tel Aviv, Israel
| | - Tamy Shohat
- Israel Center for Disease Control, Israel Ministry of Health, Tel Hashomer, Ramat Gan, Israel.,Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine Tel Aviv University, Tel Aviv, Israel
| | - Aharona Glatman-Freedman
- Departments of Pediatrics and Family and Community Medicine, New York Medical College, Valhalla, New York, United States.,Israel Center for Disease Control, Israel Ministry of Health, Tel Hashomer, Ramat Gan, Israel.,Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine Tel Aviv University, Tel Aviv, Israel
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- The members of the group are listed at the end of the paper
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43
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Skowronski DM, Chambers C, Sabaiduc S, De Serres G, Winter AL, Dickinson JA, Gubbay JB, Drews SJ, Martineau C, Charest H, Krajden M, Bastien N, Li Y. Beyond Antigenic Match: Possible Agent-Host and Immuno-epidemiological Influences on Influenza Vaccine Effectiveness During the 2015-2016 Season in Canada. J Infect Dis 2019; 216:1487-1500. [PMID: 29029166 PMCID: PMC5853508 DOI: 10.1093/infdis/jix526] [Citation(s) in RCA: 86] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Background Vaccine effectiveness (VE) estimates for 2015-2016 seasonal influenza vaccine are reported from Canada's Sentinel Practitioner Surveillance Network (SPSN). This season was characterized by a delayed 2009 pandemic influenza A(H1N1) virus (A[H1N1]pdm09) epidemic and concurrent influenza B(Victoria) virus activity. Potential influences on VE beyond antigenic match are explored, including viral genomic variation, birth cohort effects, prior vaccination, and epidemic period. Methods VE was estimated by a test-negative design comparing the adjusted odds ratio for influenza test positivity among vaccinated compared to unvaccinated participants. Vaccine-virus relatedness was assessed by gene sequencing and hemagglutination inhibition assay. Results Analyses included 596 influenza A(H1N1)pdm09 and 305 B(Victoria) cases and 926 test-negative controls. A(H1N1)pdm09 viruses were considered antigenically related to vaccine (unchanged since 2009), despite phylogenetic clustering within emerging clade 6B.1. The adjusted VE against A(H1N1)pdm09 was 43% (95% confidence interval [CI], 25%-57%). Compared to other age groups, VE against A(H1N1)pdm09 was lower for adults born during 1957-1976 (25%; 95% CI, -16%-51%). The VE against A(H1N1)pdm09 was also lower for participants consecutively vaccinated during both the current and prior seasons (41%; 95% CI, 18%-57%) than for those vaccinated during the current season only (75%; 95% CI, 45%-88%), and the VE among participants presenting in March-April 2016 (19%; 95% CI, -15%-44%) was lower than that among those presenting during January-February 2016 (62%; 95% CI, 44%-74%). The adjusted VE for B(Victoria) viruses was 54% (95% CI, 32%-68%), despite lineage-level mismatch to B(Yamagata) vaccine. The further variation in VE as observed for A(H1N1)pdm09 was not observed for B(Victoria). Conclusions Influenza VE findings may require consideration of other agent-host and immuno-epidemiologic influences on vaccine performance beyond antigenic match, including viral genomic variation, repeat vaccination, birth (immunological) cohort effects, and potential within-season waning of vaccine protection.
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Affiliation(s)
- Danuta M Skowronski
- British Columbia Centre for Disease Control, Vancouver.,University of British Columbia, Vancouver
| | | | | | - Gaston De Serres
- Institut National de Santé Publique du Québec.,Laval University, Québec.,Centre Hospitalier Universitaire de Québec, Québec
| | | | | | | | - Steven J Drews
- Alberta Provincial Laboratory, Edmonton.,University of Alberta, Edmonton
| | | | | | - Mel Krajden
- British Columbia Centre for Disease Control, Vancouver.,University of British Columbia, Vancouver
| | - Nathalie Bastien
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Canada
| | - Yan Li
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Canada
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de Lusignan S, Borrow R, Tripathy M, Linley E, Zambon M, Hoschler K, Ferreira F, Andrews N, Yonova I, Hriskova M, Rafi I, Pebody R. Serological surveillance of influenza in an English sentinel network: pilot study protocol. BMJ Open 2019; 9:e024285. [PMID: 30852535 PMCID: PMC6429844 DOI: 10.1136/bmjopen-2018-024285] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Rapidly undertaken age-stratified serology studies can produce valuable data about a new emerging infection including background population immunity and seroincidence during an influenza pandemic. Traditionally seroepidemiology studies have used surplus laboratory sera with little or no clinical information or have been expensive detailed population based studies. We propose collecting population based sera from the Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC), a sentinel network with extensive clinical data. AIM To pilot a mechanism to undertake population based surveys that collect serological specimens and associated patient data to measure seropositivity and seroincidence due to seasonal influenza, and create a population based serology bank. METHODS AND ANALYSIS: Setting and Participants: We will recruit 6 RCGP RSC practices already taking nasopharyngeal virology swabs. Patients who attend a scheduled blood test will be consented to donate additional blood samples. Approximately 100-150 blood samples will be collected from each of the following age bands - 18- 29, 30- 39, 40- 49, 50- 59, 60- 69 and 70+ years. METHODS We will send the samples to the Public Health England (PHE) Seroepidemiology Unit for processing and storage. These samples will be tested for influenza antibodies, using haemagglutination inhibition assays. Serology results will be pseudonymised, sent to the RCGP RSC and combined using existing processes at the RCGP RSC secure hub. The influenza seroprevalence results from the RCGP cohort will be compared against those from the annual PHE influenza residual serosurvey. ETHICS AND DISSEMINATION Ethical approval was granted by the Proportionate Review Sub- Committee of the London - Camden & Kings Cross on 6 February 2018. This study received approval from Health Research Authority on 7 February 2018. On completion the results will be made available via peer-reviewed journals.
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Affiliation(s)
- Simon de Lusignan
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
- Clinical Innovation and Research Centre (CIRC), Royal College of General Practitioners, London, UK
| | - Ray Borrow
- Vaccine Evaluation Unit, Manchester Royal Infirmary, Public Health England, Manchester, UK
| | - Manasa Tripathy
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
| | - Ezra Linley
- Vaccine Evaluation Unit, Manchester Royal Infirmary, Public Health England, Manchester, UK
| | | | | | - Filipa Ferreira
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
| | - Nick Andrews
- Modelling and Economics Department, Public Health England, London, UK
| | - Ivelina Yonova
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
- Clinical Innovation and Research Centre (CIRC), Royal College of General Practitioners, London, UK
| | - Mariya Hriskova
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
- Clinical Innovation and Research Centre (CIRC), Royal College of General Practitioners, London, UK
| | - Imran Rafi
- Clinical Innovation and Research Centre (CIRC), Royal College of General Practitioners, London, UK
| | - Richard Pebody
- Centre for Infectious Disease Surveillance and Control, Public Health England, London, UK
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45
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Kowalzik F, Zepp F. Update: Impfempfehlungen für Kinder und Jugendliche. Monatsschr Kinderheilkd 2019. [DOI: 10.1007/s00112-019-0652-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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46
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Sullivan SG, Price OH, Regan AK. Burden, effectiveness and safety of influenza vaccines in elderly, paediatric and pregnant populations. Ther Adv Vaccines Immunother 2019; 7:2515135519826481. [PMID: 30793097 PMCID: PMC6376509 DOI: 10.1177/2515135519826481] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2018] [Accepted: 12/20/2018] [Indexed: 11/17/2022] Open
Abstract
Vaccination is the most practical means available for preventing influenza. Influenza vaccines require frequent updates to keep pace with antigenic drift of the virus, and the effectiveness, and sometimes the safety, of the vaccine can therefore vary from season to season. Three key populations that the World Health Organization recommends should be prioritized for influenza vaccination are pregnant women, children younger than 5 years of age and the elderly. This review discusses the burden of influenza and the safety and effectiveness profile of influenza vaccines recommended for these groups.
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Affiliation(s)
- Sheena G. Sullivan
- WHO Collaborating Centre for Reference and Research on Influenza, Peter Doherty Institute for Infection and Immunity, 792 Elizabeth St, Melbourne, Victoria 3000, Australia
- School of Population and Global Health, University of Melbourne, Australia Fielding School of Public Health, University of California, Los Angeles, CA, USA
| | - Olivia H. Price
- WHO Collaborating Centre for Reference and Research on Influenza, Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Annette K. Regan
- School of Public Health, Texas A&M University, College Station, TX, United States; School of Public Health, Curtin University, Perth, Western Australia, Australia, and Wesfamers Centre of Vaccines and Infectious Diseases, Telethon Kids Institute, Crawley, Western Australia, Australia
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47
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Feng S, Chiu SS, Chan ELY, Kwan MYW, Wong JSC, Leung CW, Chung Lau Y, Sullivan SG, Malik Peiris JS, Cowling BJ. Effectiveness of influenza vaccination on influenza-associated hospitalisations over time among children in Hong Kong: a test-negative case-control study. THE LANCET. RESPIRATORY MEDICINE 2018; 6:925-934. [PMID: 30442587 PMCID: PMC6637165 DOI: 10.1016/s2213-2600(18)30419-3] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/04/2018] [Revised: 10/02/2018] [Accepted: 10/04/2018] [Indexed: 12/13/2022]
Abstract
BACKGROUND The protection conferred by influenza vaccination is generally thought to last less than a year, necessitating annual revaccination. However, the speed with which influenza vaccine effectiveness might decline during a year is unknown, which is of particular importance for locations with year-round influenza activity. We aimed to assess how influenza vaccine effectiveness changes by time intervals between vaccination and admission to hospital, taking advantage of almost year-round circulation of influenza in Hong Kong. METHODS In this test-negative case-control study, we analysed vaccine effectiveness in children (aged 6 months to 17 years) who were admitted to hospital in Hong Kong over 5 consecutive years (2012-17). We included those who were admitted to general wards in four public hospitals in Hong Kong with a fever (≥38°C) and any respiratory symptom, such as runny nose, cough, or sore throat. We used direct immunofluorescence assay and reverse transcription PCR to detect influenza virus infection, and recorded children's influenza immunisation history. We compared characteristics of positive cases and negative controls and examined how vaccine effectiveness changed by time between vaccination and admission to hospital with regression analyses. FINDINGS Between Sept 1, 2012, and Aug 31, 2017, we enrolled 15 695 children hospitalised for respiratory infections, including 2500 (15·9%) who tested positive for influenza A or B and 13 195 (84·1%) who tested negative. 159 (6·4%) influenza-positive cases and 1445 (11·0%) influenza-negative cases had been vaccinated. Most vaccinations were done by December of each influenza vaccination season. Influenza-related admissions to hospital occurred year-round, with peaks in January through March in most years and a large summer peak in 2016; pooled vaccine effectiveness for children of all ages was 79% (95% CI 42-92) for September to December, 67% (57-74) for January to April, and 43% (25-57) for May to August. Vaccine effectiveness against influenza A or B was estimated as 79% (95% CI 64-88) within 0·5-2 months of vaccination, 60% (46-71) within >2-4 months, 57% (39-70) within >4-6 months, and 45% (22-61) within >6-9 months. In separate analyses by type and subtype, we estimated that vaccine effectiveness declined by 2-5 percentage points per month. INTERPRETATION Influenza vaccine effectiveness decreased during the 9 months after vaccination in children in Hong Kong. Our findings confirm the importance of annual vaccination in children. Influenza vaccines that provide broader and longer-lasting protection are needed to provide year-round protection in regions with irregular influenza seasonality or lengthy periods of influenza activity. FUNDING Health and Medical Research Fund, Hong Kong and the Research Grants Council, Hong Kong.
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Affiliation(s)
- Shuo Feng
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Susan S Chiu
- Department of Paediatrics and Adolescent Medicine, Queen Mary Hospital and Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Eunice L Y Chan
- Department of Paediatrics and Adolescent Medicine, Queen Mary Hospital and Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Mike Y W Kwan
- Department of Paediatrics and Adolescent Medicine, Princess Margaret Hospital, Hong Kong Special Administrative Region, China
| | - Joshua S C Wong
- Department of Paediatrics and Adolescent Medicine, Princess Margaret Hospital, Hong Kong Special Administrative Region, China
| | - Chi-Wai Leung
- Department of Paediatrics and Adolescent Medicine, Princess Margaret Hospital, Hong Kong Special Administrative Region, China
| | - Yiu Chung Lau
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Sheena G Sullivan
- WHO Collaborating Center for Reference and Research on Influenza at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia; Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA; Centre for Epidemiology and Biostatistics, School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
| | - J S Malik Peiris
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Benjamin J Cowling
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China.
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RCGP Research and Surveillance Centre: 50 years' surveillance of influenza, infections, and respiratory conditions. Br J Gen Pract 2018; 67:440-441. [PMID: 28963401 DOI: 10.3399/bjgp17x692645] [Citation(s) in RCA: 92] [Impact Index Per Article: 13.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022] Open
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Buchan SA, Booth S, Scott AN, Simmonds KA, Svenson LW, Drews SJ, Russell ML, Crowcroft NS, Loeb M, Warshawsky BF, Kwong JC. Effectiveness of Live Attenuated vs Inactivated Influenza Vaccines in Children During the 2012-2013 Through 2015-2016 Influenza Seasons in Alberta, Canada: A Canadian Immunization Research Network (CIRN) Study. JAMA Pediatr 2018; 172:e181514. [PMID: 29971427 PMCID: PMC6143060 DOI: 10.1001/jamapediatrics.2018.1514] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
IMPORTANCE Recent observational studies report conflicting results regarding the effectiveness of live attenuated influenza vaccine (LAIV), particularly against influenza A(H1N1)pdm09. OBJECTIVE To compare the effectiveness of LAIV and inactivated influenza vaccine (IIV) against laboratory-confirmed influenza. DESIGN, SETTING, AND PARTICIPANTS A test-negative study to estimate influenza vaccine effectiveness (VE) using population-based, linked, individual-level laboratory, health administrative, and immunization data. Data were obtained from 10 169 children and adolescents aged 2 to 17 years (children) who were tested for influenza in inpatient or outpatient settings during periods when influenza was circulating based on a threshold level of 5% weekly test positivity for the province during the 4 influenza seasons spanning from November 11, 2012, to April 30, 2016, in Alberta, Canada. Logistic regression was used to estimate VE by vaccine type, influenza season, and influenza type and subtype. The relative effectiveness of each vaccine type was assessed by comparing the odds of laboratory-confirmed influenza infection for LAIV recipients with that for IIV recipients. EXPOSURES The primary exposure was receipt of LAIV or IIV before testing for influenza. MAIN OUTCOMES AND MEASURES The primary outcome was influenza case status as determined by reverse-transcriptase polymerase chain reaction testing. RESULTS A total of 10 779 respiratory specimens (from 10 169 children) collected and tested for influenza during the 4 influenza seasons were included, with 53.4% from males; the mean (SD) age was 7.0 (4.6) years. Across the 4 influenza seasons, 3161 children tested positive for influenza. Combining the 4 influenza seasons, the adjusted VE against influenza A(H1N1)pdm09 was 69% (95% CI, 56%-78%) for LAIV compared with 79% (95% CI, 70%-86%) for IIV. Vaccine effectiveness against influenza A(H3N2) was 36% (95% CI, 14%-53%) for LAIV and 43% (95% CI, 22%-59%) for IIV. Against influenza B, VE was 74% (95% CI, 62%-82%) for LAIV and 56% (95% CI, 41%-66%) for IIV. There were no significant differences in the odds of influenza infection for LAIV recipients compared with IIV recipients except for influenza B during the 2015-2016 season, when LAIV recipients had lower odds of infection than IIV recipients (odds ratio, 0.36; 95% CI, 0.17-0.76). CONCLUSIONS AND RELEVANCE There was no evidence to support the lack of effectiveness of LAIV against influenza A(H1N1)pdm09. These results support administration of either vaccine type in this age group.
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Affiliation(s)
- Sarah A. Buchan
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada,Primary Care & Population Health Research Program, Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
| | - Stephanie Booth
- Analytics and Performance Reporting Branch, Alberta Ministry of Health, Edmonton, Alberta, Canada,Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Allison N. Scott
- Analytics and Performance Reporting Branch, Alberta Ministry of Health, Edmonton, Alberta, Canada
| | - Kimberley A. Simmonds
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada,Research and Innovation Branch, Alberta Ministry of Health, Edmonton, Alberta, Canada
| | - Lawrence W. Svenson
- Analytics and Performance Reporting Branch, Alberta Ministry of Health, Edmonton, Alberta, Canada,Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada,Division of Preventive Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Steven J. Drews
- Diagnostic Virology, Provincial Laboratory (ProvLab) for Public Health, Edmonton, Alberta, Canada,Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada
| | - Margaret L. Russell
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Natasha S. Crowcroft
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada,Applied Immunization Research and Evaluation, Public Health Ontario, Toronto, Ontario, Canada,Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
| | - Mark Loeb
- Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Bryna F. Warshawsky
- Communicable Diseases, Emergency Preparedness and Response, Public Health Ontario, Toronto, Ontario, Canada,Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada
| | - Jeffrey C. Kwong
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada,Primary Care & Population Health Research Program, Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada,Applied Immunization Research and Evaluation, Public Health Ontario, Toronto, Ontario, Canada,Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada,Toronto Western Family Health Team, University Health Network, Toronto, Ontario, Canada
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Kinetic, Thermodynamic, and Structural Analysis of Drug Resistance Mutations in Neuraminidase from the 2009 Pandemic Influenza Virus. Viruses 2018; 10:v10070339. [PMID: 29933553 PMCID: PMC6071225 DOI: 10.3390/v10070339] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2018] [Revised: 06/14/2018] [Accepted: 06/19/2018] [Indexed: 12/25/2022] Open
Abstract
Neuraminidase is the main target for current influenza drugs. Reduced susceptibility to oseltamivir, the most widely prescribed neuraminidase inhibitor, has been repeatedly reported. The resistance substitutions I223V and S247N, alone or in combination with the major oseltamivir-resistance mutation H275Y, have been observed in 2009 pandemic H1N1 viruses. We overexpressed and purified the ectodomain of wild-type neuraminidase from the A/California/07/2009 (H1N1) influenza virus, as well as variants containing H275Y, I223V, and S247N single mutations and H275Y/I223V and H275Y/S247N double mutations. We performed enzymological and thermodynamic analyses and structurally examined the resistance mechanism. Our results reveal that the I223V or S247N substitution alone confers only a moderate reduction in oseltamivir affinity. In contrast, the major oseltamivir resistance mutation H275Y causes a significant decrease in the enzyme’s ability to bind this drug. Combination of H275Y with an I223V or S247N mutation results in extreme impairment of oseltamivir’s inhibition potency. Our structural analyses revealed that the H275Y substitution has a major effect on the oseltamivir binding pose within the active site while the influence of other studied mutations is much less prominent. Our crystal structures also helped explain the augmenting effect on resistance of combining H275Y with both substitutions.
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