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Fahrbach K, Cichewicz A, Chu H, Di Fusco M, Burnett H, Volkman HR, Akin-Fajiye M, Mendoza CF, Cappelleri JC. Comparative effectiveness of Omicron XBB 1.5-adapted COVID-19 vaccines: a systematic literature review and network meta-analysis. Expert Rev Vaccines 2025; 24:416-432. [PMID: 40357526 DOI: 10.1080/14760584.2025.2505754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2025] [Revised: 05/06/2025] [Accepted: 05/09/2025] [Indexed: 05/15/2025]
Abstract
INTRODUCTION Comparative effectiveness data of COVID-19 vaccines remain limited. We conducted a systematic review and network meta-analysis (NMA) feasibility assessment of effectiveness studies of Omicron-adapted COVID-19 vaccines. RESEARCH DESIGN AND METHODS Searches in MEDLINE and Embase up to February 2025 identified studies comparing the effectiveness of Omicron-adapted COVID-19 vaccines, either directly or against no recent vaccine. Two investigators independently selected articles reporting adjusted vaccine effectiveness (VE). A feasibility assessment determined the appropriateness of a common comparator and evaluated effect modifiers (EMs). Data extraction and risk-of-bias assessment were performed by one investigator and validated by a second investigator. Bayesian NMAs using random-effects models were performed for base-case analyses, data permitting. RESULTS The review identified 25 studies for Omicron-adapted COVID-19 vaccines: 16 for XBB formulations, eight of which were included in NMAs, all for mRNA formulations, representing 29.9 million participants. BNT162b2 had the largest evidence base. Comparisons between XBB.1.5-adapted BNT162b2 (Comirnaty) and mRNA-1273 (Spikevax) found that both vaccines are effective and comparable against XBB-related hospitalizations, infections, and medically attended visits in adults Among elderly, the estimated effectiveness against XBB-related hospitalizations favored BNT162b2. CONCLUSIONS Findings of this NMA of observational studies support the effectiveness of XBB.1.5-adapted mRNA vaccines. Limitations included assumptions on EMs and sparse evidence networks.
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Affiliation(s)
- Kyle Fahrbach
- Evidence Synthesis, Evidera Inc., Wilmington, NC, USA
| | | | - Haitao Chu
- Statistics, Pfizer Inc., New York, NY, USA
| | - Manuela Di Fusco
- Health Economics and Outcomes Research, Pfizer Inc., New York, NY, USA
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Arciniegas JA, Reyes JM, Mendoza CF, Chirila I, Kyaw MH, Escobar O, La Rotta JE, Yarnoff B. Estimating the potential public health and economic impact of vaccination strategies with an adapted vaccine in Colombia using a combined Markov-decision tree model. Expert Rev Vaccines 2025; 24:242-251. [PMID: 40138189 DOI: 10.1080/14760584.2025.2485251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2025] [Accepted: 03/19/2025] [Indexed: 03/29/2025]
Abstract
BACKGROUND Using adapted COVID-19 vaccines targeting current variants in circulation is necessary for addressing the dynamic evolution of the SARS-CoV-2 virus and protecting against emerging variants. This study evaluated the impact of various vaccination strategies with an adapted vaccine in Colombia. RESEARCH DESIGN AND METHODS Using a previously published combined Markov-decision tree model adapted for the Colombia context, this study estimated the outcomes of different vaccination strategies targeting various age and risk groups. The model used age-specific epidemiology, clinical, cost, and quality of life inputs derived from the published literature and national surveillance data. Scenario and sensitivity analyses were conducted to assess uncertainty. RESULTS Compared to no vaccination, the vaccination strategy targeting older adults aged ≥65 years and the high-risk population was estimated to prevent 306,460 symptomatic cases, 5,200 hospitalizations, 3,381 deaths, and 39,454 lost QALYs, translating to total direct and societal cost savings of USD 70,840,305 and USD 128,918,995, respectively. These gains were further increased by expanding vaccination to additional age groups. Results were most sensitive to parameters for the attack rate and duration of protection. CONCLUSIONS Implementing vaccination strategies targeting a broader age range with an adapted vaccine would result in considerable health and economic benefits in Colombia.
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Affiliation(s)
| | | | | | | | - Moe Hein Kyaw
- Medical and Scientific Affairs, Pfizer Inc, New York, NY, USA
| | | | | | - Ben Yarnoff
- Modeling & Simulation, Evidera Inc, Wilmington, NC, USA
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Mendoza CF, Bolanos R, Perata M, Kyaw MH, Chirila I, Yarnoff B. Modeling the potential public health and economic impact of COVID-19 vaccination strategies using an adapted vaccine in Peru. Expert Rev Vaccines 2025; 24:384-392. [PMID: 40356414 DOI: 10.1080/14760584.2025.2505091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2025] [Revised: 05/02/2025] [Accepted: 05/08/2025] [Indexed: 05/15/2025]
Abstract
BACKGROUND This study evaluated the impact of various vaccination strategies using an adapted vaccine in Peru. RESEARCH DESIGN AND METHODS Using a previously published combined Markov-decision-tree model adapted for Peru, this study estimated the outcomes of different vaccination strategies targeting various age and risk groups. The model used age-specific epidemiology, clinical, cost, and quality-of-life inputs derived from the published literature and national surveillance data. Sensitivity analyses were conducted to assess uncertainty. RESULTS The vaccination strategy targeting older adults aged ≥ 60 years and the high-risk population between 12 and 59 years old with a 24% vaccine uptake was estimated to prevent 78,483 symptomatic cases, 2,962 hospitalizations, 103 deaths, and 2,913 lost QALYs compared with no vaccination, translating to an incremental decrease of $12,856,654 in total direct costs and an incremental decrease of $35,090,748 in total societal costs. These gains were further increased by expanding vaccination to additional age groups and increasing vaccine uptake. CONCLUSIONS Vaccination in the population aged ≥ 60 years and the high-risk population between 12 and 59 years old in Peru was projected to yield substantial health and economic benefits. The impact could be substantially increased by expanding eligibility to younger age groups and increasing vaccine uptake.
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Ward CL, Rojas Castro MY, Chakhunashvili G, Chitadze N, Finci I, Pebody R, Kissling E, Katz MA, Sanodze L. COVID-19 vaccine effectiveness among healthcare workers during the Omicron period in the country of Georgia, January - June 2022. PLoS One 2025; 20:e0311337. [PMID: 40397872 DOI: 10.1371/journal.pone.0311337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2024] [Accepted: 04/14/2025] [Indexed: 05/23/2025] Open
Abstract
INTRODUCTION Understanding COVID-19 vaccine effectiveness (VE) in healthcare workers (HCWs) is critical to inform vaccination policies. We measured COVID-19 VE against laboratory-confirmed symptomatic infection in HCWs in the country of Georgia from January - June 2022, during a period of Omicron circulation. METHODS We conducted a cohort study of HCWs in six hospitals in Georgia. HCWs were enrolled in early 2021. Participants completed weekly symptom questionnaires. Symptomatic HCWs were tested by RT-PCR and/or rapid antigen test (RAT). Participants were also routinely tested, at varying frequencies during the study period, for SARS-CoV-2 by RT-PCR or RAT, regardless of symptoms. Serology was collected quarterly throughout the study and tested by electrochemiluminescence immunoassay for SARS-CoV-2 antibodies. We estimated absolute and relative VE of a first booster dose compared to a primary vaccine series as (1-hazard ratio)*100 using Cox proportional hazards models. RESULTS Among 1253 HCWs, 141 (11%) received a primary vaccine series (PVS) and a first booster, 855 (68%) received PVS only, and 248 (20%) were unvaccinated. Most boosters were BNT162b2 (Comirnaty original monovalent) vaccine (90%) and BBIBP-CorV vaccine (Sinopharm) (9%). Most PVS were BNT162b2 vaccine (68%) and BBIBP-CorV vaccine (24%). Absolute VE for a first booster was 40% (95% Confidence Interval (CI) -56-77) at 7-29 days following vaccination, -9% (95% CI -104-42) at 30-59 days following vaccination, and -46% (95% CI -156-17) at ≥ 60 days following vaccination. Relative VE of first booster dose compared to PVS was 58% (95% CI 1-82) at 7-29 days following vaccination, 21% (95% CI -33-54) at 30-59 days following vaccination, and -9% (95% CI -82-34) at ≥ 60 days following vaccination. CONCLUSION In Georgia, first booster dose VE against symptomatic SARS-CoV-2 infection among HCWs was moderately effective but waned very quickly during Omicron. Increased efforts to vaccinate priority groups in Georgia, such as healthcare workers, prior to periods of anticipated high COVID-19 incidence are essential.
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Affiliation(s)
| | | | | | | | - Iris Finci
- World Health Organization Regional Office for Europe, Copenhagen, Denmark
| | - Richard Pebody
- World Health Organization Regional Office for Europe, Copenhagen, Denmark
| | | | - Mark A Katz
- World Health Organization Regional Office for Europe, Copenhagen, Denmark
| | - Lia Sanodze
- National Center for Disease Control and Public Health, Tbilisi, Georgia
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Volkman HR, Lopez SMC, Moran MM, Chu H, Cappelleri JC, Nguyen JL, McLaughlin JM, Cane AD. A letter to the editor in response to: indirect comparison of the relative vaccine effectiveness of mRNA-1283 vs. BNT162b2 vaccines against symptomatic COVID-19 among US adults. Curr Med Res Opin 2025:1-3. [PMID: 40326839 DOI: 10.1080/03007995.2025.2502123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2025] [Accepted: 04/03/2025] [Indexed: 05/07/2025]
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Alves K, Kotloff K, McClelland RS, Kouassi A, Plested JS, Kalkeri R, Zhu M, Cloney-Clark S, Cai Z, Smith K, Kaba M, Nelson J, Hammershaimb EA, Mallory RM, Noriega F. Immunogenicity and safety of a monovalent omicron XBB.1.5 SARS-CoV-2 recombinant spike protein vaccine as a heterologous booster dose in US adults: interim analysis of a single-arm phase 2/3 study. THE LANCET. INFECTIOUS DISEASES 2025; 25:585-594. [PMID: 39824198 DOI: 10.1016/s1473-3099(24)00670-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2024] [Revised: 09/25/2024] [Accepted: 10/03/2024] [Indexed: 01/20/2025]
Abstract
BACKGROUND Authorities globally recommended a monovalent omicron XBB.1.5-based COVID-19 vaccine for the 2023-24 season. The Novavax COVID-19 vaccine, NVX-CoV2601, contains XBB.1.5 recombinant spike protein, based on an authorised prototype vaccine (NVX-CoV2373) technology. We aimed to determine whether a single dose of NVX-CoV2601 versus NVX-CoV2373 (from a previous study [2019nCoV-311 part 2]) produced superior neutralising antibody (nAb) responses, and non-inferior seroresponse rates to XBB.1.5, after three or more previous mRNA-based COVID-19 vaccinations. METHODS In part 1 of this single-arm, phase 2/3 study (2019nCoV-313), participants aged 18 years or older who had been previously vaccinated with three or more doses of mRNA-1273 (Moderna) or BNT162b2 (Pfizer-BioNTech) were enrolled across 30 US centres (research groups and universities) located across 20 states. Participants received one intramuscular injection of NVX-CoV2601 (5 μg XBB.1.5 spike plus 50 μg Matrix-M adjuvant). Coprimary endpoints were superiority of baseline-adjusted nAb geometric mean XBB.1.5 titres (adjusted GMTs), with superiority declared when the lower bound of the 95% CI for the GMT ratio (GMTR) was greater than 1, and non-inferiority of seroresponse rates, with non-inferiority declared when the lower bound of the 95% CI for the seroresponse rate difference was greater than -10%, on day 28; comparisons were made for NVX-CoV2601 administered in this study versus NVX-CoV2373 administered in part 2 (group G) of the 2019nCoV-311 study. Coprimary endpoints were assessed in the per-protocol immunogenicity set (ie, all participants who received study vaccine, underwent 28 days of follow-up, had day 0 and day 28 samples available, and had no major protocol deviations). Safety was a secondary endpoint and included assessments of solicited treatment-emergent adverse events up to 7 days and unsolicited treatment-emergent adverse events up to 28 days after vaccination in the safety analysis set (ie, all participants who received study vaccine). Here we report the prespecified interim analysis of immunogenicity and safety up to day 28. This study is registered with ClinicalTrials.gov, NCT05975060, and is now complete. FINDINGS Between Sept 7 and Sept 8, 2023, 380 individuals were screened, of whom 332 were enrolled and received study vaccine. At the 28-day interim analysis database lock (Jan 17, 2023), the per-protocol analysis sets included 309 (93%) of 332 NVX-CoV2601 recipients and 227 (90%) of 252 NVX-CoV2373 recipients. Mean age of NVX-CoV2601 recipients was 52·1 years (SD 16·1); 192 (62%) of 309 were female and 117 (38%) were male. Mean age of NVX-CoV2373 recipients was 42·2 years (13·4); 128 (56%) of 227 were female and 99 (44%) were male. At day 28, the baseline-adjusted nAb GMT for NVX-CoV2601 was 905·9 (95% CI 807·1-1016·8) and for NVX-CoV2373 was 156·6 (137·0-179·0); the between-group adjusted GMTR was 5·8 (95% CI 4·9-6·9). In the per-protocol immunogenicity set, seroresponse rates were 64% (196 of 305) among recipients of NVX-CoV2601 and 7% (16 of 227) among recipients of NVX-CoV2373, with a seroresponse rate difference of 57% (95% CI 51-63). In the NVX-CoV2601 group, within 7 days, solicited local treatment-emergent adverse events were reported in 189 (57%) of 332 participants (including one [<1%] grade 3 or worse event; tenderness) and solicited systemic treatment-emergent adverse events were reported in 158 (48%) participants (including four [1%] participants with one or more grade 3 events; malaise [n=3], headache [n=2], fatigue [n=1], and muscle pain [n=1]). The most common solicited treatment-emergent adverse events were tenderness (171 [52%]) and pain (98 [30%]) at the injection site, fatigue (97 [29%]), and muscle pain (97 [29%]). Up to day 28, unsolicited adverse events considered related to study vaccination in the NVX-CoV2601 group occurred in five (2%) participants (one for each of asthma, axillary pain, diarrhoea, hypertension [which was medically attended], and presyncope). No serious adverse events due to study product, adverse events of special interest, or deaths due to study product occurred, and no study discontinuations due to treatment-emergent adverse events occurred. INTERPRETATION The coprimary endpoints were met, and NVX-CoV2601 was well tolerated. These interim data support NVX-CoV2601 use per guidance for XBB.1.5-directed COVID-19 vaccines and demonstrate the adaptability of this vaccine platform for updated SARS-CoV-2 spike proteins. FUNDING Novavax.
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Affiliation(s)
| | - Karen Kotloff
- University of Maryland School of Medicine, Center for Vaccine Development and Global Health, Baltimore, MD, USA
| | | | | | | | | | | | | | | | | | | | | | - E Adrianne Hammershaimb
- University of Maryland School of Medicine, Center for Vaccine Development and Global Health, Baltimore, MD, USA
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Okafor CE, Keramat SA, Balasooriya NN, Dioji EH. Are Updated COVID-19 Vaccines Still Relevant for All Adult Age Groups? An Economic Evaluation of the Monovalent XBB.1.5 Vaccine in Australia. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2025; 28:730-741. [PMID: 39922305 DOI: 10.1016/j.jval.2025.01.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2024] [Revised: 12/15/2024] [Accepted: 01/13/2025] [Indexed: 02/10/2025]
Abstract
OBJECTIVES There is a progressive decline in the relative effectiveness of updated COVID-19 vaccines. Surveillance reports in Australia have also shown a wide variation in the disease severity and mortality across age groups. This study aimed to perform a cost-utility analysis of the monovalent XBB.1.5 vaccine relative to no updated booster vaccine between September 2023 and August 2024. METHODS A cost-utility analysis was performed using a Markov model from the healthcare system perspective for 3 different age groups (18-64, 65-74, and ≥75 years). Costs and outcomes with the monovalent XBB.1.5 vaccine were compared with no updated booster dose for 1 year. Health outcomes were expressed as quality-adjusted life years (QALYs), whereas costs were presented in 2023 Australian dollars. Aggregate distributional cost-effectiveness analysis and sensitivity analyses were performed. The willingness-to-pay threshold was set at A$50 000/QALY. RESULTS The updated vaccine was dominant for the 18 to 64 years group and cost-effective for the 65 to 74 years group (incremental cost-effectiveness ratio [ICER] = A$10 786/QALY) and ≥75 years group (ICER = A$36,531/QALY) relative to no updated booster vaccine. The major determinants of the ICER was the vaccine uptake rate. There was inequality in health benefits between the older First Nations versus nonindigenous Australians. The results were robust to simultaneous changes in the parameters' values. CONCLUSIONS The monovalent XBB.1.5 vaccine is cost-effective and still relevant for all adult age groups in Australia. Based on current evidence, the study findings support the promotion of booster vaccination for Australian adults.
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Affiliation(s)
- Charles Ebuka Okafor
- Centre for Health Services Research, Faculty of Health, Medicine & Behavioural Sciences, The University of Queensland, Brisbane, QLD, Australia.
| | - Syed Afroz Keramat
- Centre for Health Services Research, Faculty of Health, Medicine & Behavioural Sciences, The University of Queensland, Brisbane, QLD, Australia
| | - Namal N Balasooriya
- Centre for Health Services Research, Faculty of Health, Medicine & Behavioural Sciences, The University of Queensland, Brisbane, QLD, Australia
| | - Echezona H Dioji
- Torrens University, School of Public Health, Fortitude Valley, Brisbane, QLD, Australia
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Andersen KM, Allen KE, Nepal RM, Mateus JS, Yu T, Zhou A, Porter TM, Lopez SMC, Puzniak L, McLaughlin JM, McGrath LJ. Effectiveness of BNT162b2 XBB.1.5 vaccine in immunocompetent adults using tokenization in two U.S. states. Vaccine 2025; 52:126881. [PMID: 39987879 DOI: 10.1016/j.vaccine.2025.126881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2024] [Revised: 02/06/2025] [Accepted: 02/10/2025] [Indexed: 02/25/2025]
Abstract
BACKGROUND Data describing the effectiveness of COVID-19 vaccines during the 2023-2024 fall and winter viral respiratory season are lacking. We estimated BNT162b2 XBB.1.5 vaccine effectiveness (VE) against COVID-19-associated hospital admission and emergency department (ED) visits in two heterogenous U.S. States. METHODS We conducted a retrospective cohort study among immunocompetent non-pregnant adults ≥18 years of age between September 25, 2023, and March 31, 2024 who were residents of California or Louisiana and enrolled in health insurance plans reporting to HealthVerity. Receipt of BNT162b2 XBB.1.5 vaccine was determined using State vaccine registry data (in addition to health insurance claims) and measured as a time-varying exposure. VE against COVID-19-associated hospital admission and ED visits was measured as 1- adjusted hazard ratio from Cox proportional hazards models. Models were adjusted for age, sex, State, insurance payor, presence of any condition(s) indicating CDC-defined high risk for severe COVID-19, wellness visit, influenza vaccination, outpatient visits, emergency department visits, and whether they had medically attended COVID-19 in the 91 to 365 days prior to index. RESULTS Overall, 6,344,448 individuals met selection criteria. Median age was 40 years and 54% were female. By the end of follow-up (median 6.3 months), 254,068 (4%) had received a BNT162b2 XBB.1.5 vaccine; 2346 (of whom 68 received BNT162b2 XBB.1.5 vaccine and 2278 did not) and 9327 (of whom 135 received BNT162b2 XBB.1.5 vaccine and 9192 did not) experienced a COVID-19-associated hospital admission and ED visit, respectively. VE was 36% (95% confidence interval [CI]: 18-50%) and 45% (95% CI: 34-54%) against COVID-19-associated hospital admission and ED visits, respectively. Prior formulations offered no significant residual protection. DISCUSSION BNT162b2 XBB.1.5 vaccine provided significant additional protection for immunocompetent adults against COVID-19-associated hospital admission and emergency department visits during the 2023-2024 fall and winter respiratory virus season. This study is registered on clinicaltrials.gov as NCT06199934.
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Affiliation(s)
| | | | | | | | - Tiange Yu
- Genesis Research Group, Hoboken, New Jersey, United States
| | - Anan Zhou
- Genesis Research Group, Hoboken, New Jersey, United States
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Monge S, Humphreys J, Nicolay N, Braeye T, Van Evercooren I, Hansen CH, Emborg HD, Fabiani M, Sacco C, Castilla J, Martínez-Baz I, de Gier B, Hahné S, Meijerink H, Kristoffersen AB, Machado A, Soares P, Fontán-Vela M, Nardone A, Kissling E, Nunes B, VEBIS-Lot 4 working group. Comparison of two methods for the estimation of COVID-19 vaccine effectiveness of the autumnal booster within the VEBIS-EHR network in 2022/23. Epidemiol Infect 2025; 153:e54. [PMID: 40090768 PMCID: PMC12001144 DOI: 10.1017/s0950268825000317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Revised: 12/09/2024] [Accepted: 03/06/2025] [Indexed: 03/18/2025] Open
Abstract
Within an infrastructure to monitor vaccine effectiveness (VE) against hospitalization due to COVID-19 and COVID-19 related deaths from November 2022 to July 2023 in seven countries in real-world conditions (VEBIS network), we compared two approaches: (a) estimating VE of the first, second or third COVID-19 booster doses administered during the autumn of 2022, and (b) estimating VE of the autumn vaccination dose regardless of the number of prior doses (autumnal booster approach). Retrospective cohorts were constructed using Electronic Health Records at each participating site. Cox regressions with time-changing vaccination status were fit and site-specific estimates were combined using random-effects meta-analysis. VE estimates with both approaches were mostly similar, particularly shortly after the start of the vaccination campaign, and showed a similar timing of VE waning. However, autumnal booster estimates were more precise and showed a clearer trend, particularly compared to third booster estimates, as calendar time increased after the vaccination campaign and during periods of lower SARS-CoV-2 activity. Moreover, the decrease in protection by increasing calendar time was more clear and precise than when comparing protection by number of doses. Therefore, estimating VE under an autumnal booster framework emerges as a preferred method for future monitoring of COVID-19 vaccination campaigns.
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Affiliation(s)
- Susana Monge
- Department of Communicable Diseases, National Centre of Epidemiology, Institute of Health Carlos III, Madrid, Spain
- CIBER on Infectious Diseases, Madrid, Spain
| | | | - Nathalie Nicolay
- Vaccine Preventable Diseases and Immunisation, European Centre for Disease Prevention and Control (ECDC), Solna, Sweden
| | - Toon Braeye
- Department of Epidemiology and Public Health, Sciensano, Elsene, Belgium
| | | | - Christian Holm Hansen
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
| | - Hanne-Dorthe Emborg
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
| | - Massimo Fabiani
- Infectious Diseases Department, Istituto Superiore di Sanità, Rome, Italy
| | - Chiara Sacco
- Infectious Diseases Department, Istituto Superiore di Sanità, Rome, Italy
- European Programme on Intervention Epidemiology Training (EPIET), European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Jesús Castilla
- Instituto de Salud Pública de Navarra – IdiSNA, Pamplona, Spain
- CIBER on Epidemiology and Public Health, Madrid, Spain
| | - Iván Martínez-Baz
- Instituto de Salud Pública de Navarra – IdiSNA, Pamplona, Spain
- CIBER on Epidemiology and Public Health, Madrid, Spain
| | - Brechje de Gier
- Center for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Susan Hahné
- Center for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Hinta Meijerink
- Department of Infection Control and Vaccines, Norwegian Institute of Public Health (NIPH), Oslo, Norway
| | - Anja Bråthen Kristoffersen
- Department of Method Development and Analytics, Norwegian Institute of Public Health (NIPH), Oslo, Norway
| | - Ausenda Machado
- Departamento de Epidemiologia, Instituto Nacional de Saúde Doutor Ricardo Jorge, LisboaPortugal
| | - Patricia Soares
- Departamento de Epidemiologia, Instituto Nacional de Saúde Doutor Ricardo Jorge, LisboaPortugal
| | - Mario Fontán-Vela
- Department of Communicable Diseases, National Centre of Epidemiology, Institute of Health Carlos III, Madrid, Spain
- Public Health and Epidemiology Research Group, School of Medicine and Health Sciences, Universidad de Alcalá, Alcalá de Henares, Spain
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Huiberts AJ, de Bruijn S, Andeweg SP, Hoeve CE, Schipper M, de Melker HE, van de Wijgert JH, van den Hof S, van den Wijngaard CC, Knol MJ. Prospective cohort study of fatigue before and after SARS-CoV-2 infection in the Netherlands. Nat Commun 2025; 16:1923. [PMID: 40038286 PMCID: PMC11880519 DOI: 10.1038/s41467-025-56994-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2024] [Accepted: 02/07/2025] [Indexed: 03/06/2025] Open
Abstract
Fatigue is one of the most common persistent symptoms of SARS-CoV-2 infection. We aimed to assess fatigue during and after a SARS-CoV-2 infection by age, sex, presence of a medical risk condition, SARS-CoV-2 variant and vaccination status, accounting for pre-infection fatigue and compared with uninfected individuals. We used data from an ongoing prospective cohort study in the Netherlands (VASCO). We included 22,705 first infections reported between 12 July 2021 and 9 March 2024. Mean fatigue scores increased during infection, declined rapidly in the first 90 days post-infection, but remained elevated until at least 270 days for Delta and 120 days for Omicron infections. Prevalence of severe fatigue was 18.5% before first infection. It increased to 24.4% and 22.5% during acute infection and decreased to 21.2% and 18.9% at 90 days after Delta and Omicron infection, respectively. The prevalence among uninfected participants was lower than among matched Delta-infected participants during the acute phase of the infection and 90 days post-infection. For matched Omicron-infected individuals this was only observed during the acute phase. We observed no differences in mean post- vs pre-infection fatigue scores at 90-270 days post-infection by vaccination status. The impact of SARS-CoV-2 infection on the prevalence of severe fatigue was modest at population level, especially for Omicron.
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Affiliation(s)
- Anne J Huiberts
- Centre for Infectious Disease Control, National Institute for Public Health and Environment (RIVM), Bilthoven, the Netherlands
| | - Siméon de Bruijn
- Centre for Infectious Disease Control, National Institute for Public Health and Environment (RIVM), Bilthoven, the Netherlands
| | - Stijn P Andeweg
- Centre for Infectious Disease Control, National Institute for Public Health and Environment (RIVM), Bilthoven, the Netherlands
| | - Christina E Hoeve
- Centre for Infectious Disease Control, National Institute for Public Health and Environment (RIVM), Bilthoven, the Netherlands
| | - Maarten Schipper
- Department of Statistics, Data Science and Modelling, National Institute for Public Health and Environment (RIVM), Bilthoven, the Netherlands
| | - Hester E de Melker
- Centre for Infectious Disease Control, National Institute for Public Health and Environment (RIVM), Bilthoven, the Netherlands
| | - Janneke Hhm van de Wijgert
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht (UMCU), Utrecht, the Netherlands
| | - Susan van den Hof
- Centre for Infectious Disease Control, National Institute for Public Health and Environment (RIVM), Bilthoven, the Netherlands
| | - Cees C van den Wijngaard
- Centre for Infectious Disease Control, National Institute for Public Health and Environment (RIVM), Bilthoven, the Netherlands
| | - Mirjam J Knol
- Centre for Infectious Disease Control, National Institute for Public Health and Environment (RIVM), Bilthoven, the Netherlands.
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Levy ME, Chilunda V, Heaton PR, McKeen D, Goldman JD, Davis RE, Schandl CA, Glen WB, McEwen LM, Cirulli ET, Wyman D, Dei Rossi A, Dai H, Isaksson M, Washington NL, Basler T, Tsan K, Nguyen J, Ramirez J, Sandoval E, Lee W, Lu J, Luo S. XBB.1.5 mRNA COVID-19 vaccine protection against inpatient or emergency department visits among adults infected with SARS-CoV-2 JN.1 and XBB-lineage variants. Front Immunol 2025; 16:1470609. [PMID: 40034704 PMCID: PMC11872700 DOI: 10.3389/fimmu.2025.1470609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2024] [Accepted: 02/03/2025] [Indexed: 03/05/2025] Open
Abstract
As part of a multi-state viral genomic surveillance program, we conducted a case-only analysis to evaluate the effectiveness of XBB.1.5-adapated mRNA vaccines in preventing severe illness among individuals with medically attended SARS-CoV-2 infection. We compared prior receipt of an XBB.1.5-adapted mRNA vaccine between SARS-CoV-2-infected adults with inpatient or emergency department (ED) visits (as a proxy for severe illness) vs those with outpatient visits (as a proxy for mild illness). Among 6,551 patients between September 2023 and January 2024, 6.1% with inpatient or ED visits vs 12.0% with outpatient visits had received XBB.1.5 vaccination (adjusted odds ratio [aOR]=0.41; 95% confidence interval [CI]: 0.32-0.53). This protective association was weaker among JN.1 (aOR=0.62; 95% CI: 0.40-0.96) vs XBB-lineage (aOR=0.28; 95% CI: 0.18-0.43) variant infections (interaction, p=0.003). XBB.1.5 vaccines protect against severe illness, but protection may be weaker against JN.1 vs XBB-lineage variants. This study highlights the need for COVID-19 vaccines to be routinely updated to align with circulating strains and for individuals to stay up to date with recommended vaccines.
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Affiliation(s)
| | | | - Phillip R. Heaton
- Department of Pathology and Laboratory Medicine, HealthPartners, Bloomington, MN, United States
| | - Deran McKeen
- HealthPartners Institute, Bloomington, MN, United States
| | - Jason D. Goldman
- Swedish Center for Research and Innovation, Providence Swedish Medical Center, Seattle, WA, United States
- Division of Allergy and Infectious Disease, University of Washington, Seattle, WA, United States
| | - Richard E. Davis
- Providence Sacred Heart Medical Center and Children’s Hospital, Spokane, WA, United States
| | - Cynthia A. Schandl
- Department of Pathology and Laboratory Medicine, Medical University of South Carolina, Charleston, SC, United States
| | - William B. Glen
- Department of Pathology and Laboratory Medicine, Medical University of South Carolina, Charleston, SC, United States
| | | | | | | | | | - Hang Dai
- Helix, San Mateo, CA, United States
| | | | | | | | | | | | | | | | | | - James Lu
- Helix, San Mateo, CA, United States
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12
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Nguyen JL, Mitratza M, Volkman HR, de Munter L, Tran TMP, Marques C, Mustapha M, Valluri S, Yang J, Antón A, Casas I, Conde-Sousa E, Drikite L, Grüner B, Icardi G, ten Kate GL, Martin C, Mira-Iglesias A, Orrico-Sánchez A, Otero-Romero S, Rohde G, Jodar L, McLaughlin JM, Bollaerts K. Effectiveness of the BNT162b2 XBB.1.5-adapted vaccine against COVID-19 hospitalization related to the JN.1 variant in Europe: a test-negative case-control study using the id.DRIVE platform. EClinicalMedicine 2025; 79:102995. [PMID: 39726669 PMCID: PMC11669791 DOI: 10.1016/j.eclinm.2024.102995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2024] [Revised: 11/13/2024] [Accepted: 11/22/2024] [Indexed: 12/28/2024] Open
Abstract
Background Prior studies have reported lower effectiveness of XBB.1.5-adapted vaccines against hospitalization related to the Omicron JN.1 variant than the XBB variant. This study evaluated the effectiveness and durability of the BNT162b2 XBB.1.5-adapted vaccine against JN.1-related hospitalization during the 2023-2024 season in Europe. Methods A test-negative case-control study was carried out in adults (≥18 y) hospitalized between 2 October 2023 and 2 April 2024 with severe acute respiratory infection (SARI) within the id.DRIVE partnership. This study included nine sites across Belgium, Germany, Italy, and Spain. Cases had a laboratory-confirmed JN.1 infection or a positive SARS-CoV-2 test with symptom onset during JN.1 predominance; controls had a negative SARS-CoV-2 test and symptom onset during JN.1 predominance. The primary objective was to estimate BNT162b2 XBB.1.5-adapted vaccine effectiveness (VE) against COVID-19 hospitalization. One case was matched with up to four controls, according to symptom onset date and site. Multivariable analyses were adjusted for symptom onset date, age, sex, and number of chronic conditions. Findings Among 308 test-positive cases and 1117 test-negative controls, BNT162b2 XBB.1.5-adapted VE against hospitalization compared to no vaccination this season was 53.8% (95% CI 38.4-65.4) after a median of 63 days following vaccination. Protection was sustained through five months; VE was 52.2% (95% CI 41.3-61.1) 2 to <4 weeks after vaccination, 48.9% (95% CI 17.9-68.2) at 4 to <8 weeks, and ranged from 54.6% to 59.5% at 4-week intervals from 8 to <22 weeks. Interpretation BNT162b2 XBB.1.5-adapted vaccine provided protection against JN.1-related hospitalization, regardless of prior vaccination history, with no evidence of waning through five months. These data support yearly vaccination against COVID-19 to prevent severe illness during the respiratory virus season. Funding Pfizer.
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Affiliation(s)
| | - Marianna Mitratza
- P95 Epidemiology and Pharmacovigilance, Koning Leopold III Laan 1, Leuven 3001, Belgium
| | | | - Leonie de Munter
- P95 Epidemiology and Pharmacovigilance, Koning Leopold III Laan 1, Leuven 3001, Belgium
| | - Thao Mai Phuong Tran
- P95 Epidemiology and Pharmacovigilance, Koning Leopold III Laan 1, Leuven 3001, Belgium
| | - Catia Marques
- Pfizer Inc., 66 Hudson Blvd. E., New York, NY 10001, United States
| | | | - Srinivas Valluri
- Pfizer Inc., 66 Hudson Blvd. E., New York, NY 10001, United States
| | - Jingyan Yang
- Pfizer Inc., 66 Hudson Blvd. E., New York, NY 10001, United States
| | - Andrés Antón
- Microbiology Department, Hospital Universitari Vall d'Hebron, Vall d'Hebron Institut de Recerca (VHIR), Universitat Autònoma de Barcelona, Paseo del Valle de Hebrón 119-129, Barcelona 08035, Spain
| | - Irma Casas
- Hospital Universitari Germans Trias i Pujol, Carretera del Canyet, Badalona, Barcelona 08916, Spain
| | - Eduardo Conde-Sousa
- P95 Epidemiology and Pharmacovigilance, Koning Leopold III Laan 1, Leuven 3001, Belgium
| | - Laura Drikite
- P95 Epidemiology and Pharmacovigilance, Koning Leopold III Laan 1, Leuven 3001, Belgium
| | - Beate Grüner
- University Hospital Ulm, Division of Infectious Diseases, Department of Internal Medicine III, Alber-Einstein-Allee 23, Ulm 89081, Germany
| | - Giancarlo Icardi
- Centro Interuniversitario per la Ricerca sull’Influenza e le altre Infezioni Trasmissibili - IRCCS Policlinico San Martino Hospital, Largo Benzi 10, Genoa 16132, Italy
| | | | - Charlotte Martin
- Le Centre Hospitalier Universitaire St Pierre, Rue Haute 322, Brussels 1000, Belgium
| | - Ainara Mira-Iglesias
- Vaccine Research Department, Fisabio – Public Health, Avda. Cataluña 21, Valencia 46020, Spain
- Biomedical Research Consortium of Epidemiology and Public Health (CIBER-ESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Alejandro Orrico-Sánchez
- Vaccine Research Department, Fisabio – Public Health, Avda. Cataluña 21, Valencia 46020, Spain
- Biomedical Research Consortium of Epidemiology and Public Health (CIBER-ESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Susana Otero-Romero
- Preventive Medicine and Epidemiology Department, Hospital Universitari Vall d'Hebron, Vall d'Hebron Institut de Recerca (VHIR), Universitat Autònoma de Barcelona, Paseo del Valle de Hebrón 119-129, Barcelona 08035, Spain
- Centro de Esclerosis Múltiple de Catalunya (Cemcat), Department of Neurology/Neuroimmunology, Hospital Universitari Vall d'Hebron, Vall d'Hebron Institut de Recerca (VHIR), Universitat Autònoma de Barcelona, Paseo del Valle de Hebrón 119-129, Barcelona 08035, Spain
| | - Gernot Rohde
- Goethe University Frankfurt, University Hospital, Medical Clinic I, Department of Respiratory Medicine, Theodor-Stern-Kai 7, Frankfurt/Main 60590, Germany
| | - Luis Jodar
- Pfizer Inc., 66 Hudson Blvd. E., New York, NY 10001, United States
| | | | - Kaatje Bollaerts
- P95 Epidemiology and Pharmacovigilance, Koning Leopold III Laan 1, Leuven 3001, Belgium
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13
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Fotakis EA, Picasso E, Sacco C, Petrone D, Del Manso M, Bella A, Riccardo F, Odone A, Cannone A, Tallon M, De Angelis L, Sciurti A, Cescutti D, Pezzotti P, Fabiani M, Mateo-Urdiales A. Impact of the 2023/24 autumn-winter COVID-19 seasonal booster campaign in preventing severe COVID-19 cases in Italy (October 2023-March 2024). Vaccine 2024; 42:126375. [PMID: 39298999 DOI: 10.1016/j.vaccine.2024.126375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2024] [Revised: 09/09/2024] [Accepted: 09/13/2024] [Indexed: 09/22/2024]
Abstract
We assessed the impact of the 2023/2024 COVID-19 vaccination campaign in Italy by estimating the number of averted COVID-19 severe cases (i.e. COVID-19 associated hospitalisations or deaths) between October 2023 and March 2024, in those aged ≥60 years. We estimated that 565 (95 % CI: 497-625) cases, corresponding to 2.1 % (95 % CI: 1.8-2.3) of the expected cases without a vaccination campaign, were averted. We simulated three vaccination coverage scenarios: 50 %, 75 %, 90 % (versus the observed 10.7 %), finding that 9.7 % (95 % CI: 8.5-10.7); 14.5 % (95 % CI: 12.8-16.1); and 17.4 % (95 % CI: 15.3-19.3) of the expected cases would have been averted, respectively.
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Affiliation(s)
- E A Fotakis
- Department of Infectious Diseases, Istituto Superiore Di Sanità, Rome, Italy; European Programme On Intervention Epidemiology Training (EPIET), European Centre for Disease Prevention and Control, Stockholm, Sweden.
| | - E Picasso
- Department of Infectious Diseases, Istituto Superiore Di Sanità, Rome, Italy; Department of Public Health, Experimental and Forensic Medicine, University of Pavia, Pavia, Italy
| | - C Sacco
- Department of Infectious Diseases, Istituto Superiore Di Sanità, Rome, Italy; European Programme On Intervention Epidemiology Training (EPIET), European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - D Petrone
- Department of Infectious Diseases, Istituto Superiore Di Sanità, Rome, Italy
| | - M Del Manso
- Department of Infectious Diseases, Istituto Superiore Di Sanità, Rome, Italy
| | - A Bella
- Department of Infectious Diseases, Istituto Superiore Di Sanità, Rome, Italy
| | - F Riccardo
- Department of Infectious Diseases, Istituto Superiore Di Sanità, Rome, Italy
| | - A Odone
- Department of Public Health, Experimental and Forensic Medicine, University of Pavia, Pavia, Italy
| | - A Cannone
- Department of Infectious Diseases, Istituto Superiore Di Sanità, Rome, Italy
| | - M Tallon
- Department of Informatics, Istituto Superiore di Sanità, Rome, Italy
| | - L De Angelis
- Department of Infectious Diseases, Istituto Superiore Di Sanità, Rome, Italy; Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - A Sciurti
- Department of Infectious Diseases, Istituto Superiore Di Sanità, Rome, Italy; Department of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy
| | - D Cescutti
- Department of Infectious Diseases, Istituto Superiore Di Sanità, Rome, Italy; School of Hygiene and Preventive Medicine, Vita-Salute San Raffaele University, Milan, Italy
| | - P Pezzotti
- Department of Infectious Diseases, Istituto Superiore Di Sanità, Rome, Italy
| | - M Fabiani
- Department of Infectious Diseases, Istituto Superiore Di Sanità, Rome, Italy
| | - A Mateo-Urdiales
- Department of Infectious Diseases, Istituto Superiore Di Sanità, Rome, Italy
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14
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Katz MA, Cohuet S, Bino S, Tarkhan-Mouravi O, Kryeziu B, Otorbaeva D, Stavridis K, Stosic M, Sulo J, Machablishvili A, Kalaveshi A, Zhusupovna AS, Kolevska KK, Plavsa D, Hasibra I, Zakhashvili K, Kaçaniku-Deva Z, Zarylbekovna UA, Jancheska E, Jovanovic V, Humphreys J, Howard J, Stolyarov K, Artemchuk O, Widdowson MA, Finci I, Rose AM, Pebody R. COVID-19 vaccine effectiveness against SARS-CoV-2-confirmed hospitalisation in the eastern part of the WHO European Region (2022-2023): a test-negative case-control study from the EuroSAVE network. THE LANCET REGIONAL HEALTH. EUROPE 2024; 47:101095. [PMID: 39726724 PMCID: PMC11670677 DOI: 10.1016/j.lanepe.2024.101095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2024] [Revised: 09/07/2024] [Accepted: 09/26/2024] [Indexed: 12/28/2024]
Abstract
Background Understanding COVID-19 vaccine effectiveness (VE) in preventing severe disease is critical to inform vaccine policy. We used the test-negative design to estimate VE against SARS-CoV-2-confirmed hospitalisation in adults ≥18 years in the eastern WHO European Region. Methods We included patients hospitalised for severe acute respiratory infection (SARI) at sentinel surveillance sites in Albania, Georgia, Kyrgyzstan, North Macedonia, Serbia, and in Kosovo. We collected demographic information, COVID-19 vaccination history, and tested respiratory samples for SARS-CoV-2 by RT-PCR. We calculated VE of any vaccine dose received within 12 months (Annual VE) as [(1 - adjusted Odds Ratio) x 100%] using a one-stage pooled analysis. The reference group included unvaccinated individuals and those who received their last vaccine >12 months before symptom onset. Findings During 1 January 1, 2022-November 20, 2023, of 5162 patients, 57.0% (2942) were unvaccinated, 2.5% (129) received only one dose, 26.0% (1340) received only two doses (originally considered a primary series vaccine (PS)), 13.2% (683) received three doses only, and 1.3% (68) received four doses. Most PS vaccines and boosters were BNT162b2 (46.4% (622/1340) and 64.9% (443/683), respectively) and CoronaVac (23.0% (309/1340) and 18.3% (125/683)). No patients received Ad26.COV2.S (Johnson and Johnson) vaccines. Overall, 1009/5162 (19.5%) patients were SARS-CoV-2-positive. VE was 60.1% (95% Confidence Interval (CI) 12.4-81.8) for last vaccine received 14-89 days before symptom onset, 60.0% (95% CI 32.2-76.4) for 90-179 days, 7.0% (95% CI -28.5 to 32.7) for 180-269 days, and -5.4% (95% CI -43.8 to 22.8) for 270-365 days.). Interpretation During nearly two years of Omicron circulation in the eastern WHO European Region, COVID-19 vaccination reduced the risk of hospitalisations by more than half for 6 months following vaccination. Funding This study was funded by the World Health Organization, Regional Office for Europe through a cooperative agreement with the U.S. Centers for Disease Control and Prevention.
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Affiliation(s)
- Mark A. Katz
- World Health Organization Regional Office for Europe, Denmark
| | | | | | | | - Besfort Kryeziu
- National Institute of Public Health, Kosovo
- Mediterranean and Black Sea Programme in Intervention Epidemiology Training (MediPIET), European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden
| | - Dinagul Otorbaeva
- Department for Disease Prevention and State Sanitary and Epidemiological Surveillance, Kyrgyzstan
| | | | | | - Jonilda Sulo
- Institute of Public Health, Albania
- Mediterranean and Black Sea Programme in Intervention Epidemiology Training (MediPIET), European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden
| | | | | | | | - Katerina Kjirkovikj Kolevska
- Mediterranean and Black Sea Programme in Intervention Epidemiology Training (MediPIET), European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden
- Institute of Public Health, North Macedonia
| | | | | | | | | | | | | | | | | | | | | | | | | | - Iris Finci
- World Health Organization Regional Office for Europe, Denmark
| | | | - Richard Pebody
- World Health Organization Regional Office for Europe, Denmark
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15
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Kopel H, Araujo AB, Bogdanov A, Zeng N, Winer I, Winer-Jones JP, Lu T, Marks MA, Bonafede M, Nguyen VH, Martin D, Mansi JA. Effectiveness of the 2023-2024 Omicron XBB.1.5-containing mRNA COVID-19 Vaccine (mRNA-1273.815) in Preventing COVID-19-related Hospitalizations and Medical Encounters Among Adults in the United States. Open Forum Infect Dis 2024; 11:ofae695. [PMID: 39691287 PMCID: PMC11651145 DOI: 10.1093/ofid/ofae695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2024] [Accepted: 11/22/2024] [Indexed: 12/19/2024] Open
Abstract
Background This study aimed to evaluate the vaccine effectiveness (VE) of mRNA-1273.815, a 2023-2024 Omicron XBB.1.5-containing mRNA COVID-19 vaccine, at preventing COVID-19-related hospitalizations and any medically attended COVID-19 in adults. Methods In a linked electronic health record-claims dataset, we identified US adults (≥18 years) who received the mRNA-1273.815 vaccine (exposed cohort) between 12 September and 15 December 2023, matched 1:1 to individuals who did not receive a 2023-2024 updated COVID-19 vaccine (unexposed cohort). Cohorts were balanced using inverse probability of treatment weighting on demographics, vaccination and infection history, and underlying medical conditions. Study cohorts were followed until 31 December 2023 for COVID-19-related hospitalizations and medically attended COVID-19. Cox regression was used to estimate hazard ratios and VE. Subgroup analyses were performed for adults ≥50 years, adults ≥65 years, and individuals with underlying medical conditions. Results Overall, 859 335 matched pairs of mRNA-1273.815 recipients and unexposed adults were identified. The mean (standard deviation) age was 63 (16) years. More than 60% of individuals in both cohorts had an underlying medical condition. Among the overall adult population, VE was 60.2% (95% confidence interval, 53.4-66.0) against COVID-19-related hospitalization and 33.1% (30.2-35.9) against medically attended COVID-19 over a median follow-up of 63 (interquartile range: 44-78) days. VE estimates by age and underlying medical conditions were similar. Conclusions These results demonstrate the significant protection provided by mRNA-1273.815 against COVID-19-related hospitalizations and any medically attended COVID-19 in adults, regardless of vaccination history, and support Centers for Disease Control and Prevention recommendations to stay up-to-date with COVID-19 vaccination to prevent COVID-19-related outcomes, including hospitalizations.
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Affiliation(s)
- Hagit Kopel
- Medical Affairs, Moderna, Inc., Cambridge, Massachusetts, USA
| | - Andre B Araujo
- Medical Affairs, Moderna, Inc., Cambridge, Massachusetts, USA
| | | | - Ni Zeng
- Real World Evidence, Veradigm, Chicago, Illinois, USA
| | | | | | - Tianyi Lu
- Medical Affairs, Moderna, Inc., Cambridge, Massachusetts, USA
| | - Morgan A Marks
- Medical Affairs, Moderna, Inc., Cambridge, Massachusetts, USA
| | | | - Van Hung Nguyen
- Epidemiology Consulting, VHN Consulting Inc., Montreal, Quebec, Canada
| | - David Martin
- Medical Affairs, Moderna, Inc., Cambridge, Massachusetts, USA
| | - James A Mansi
- Medical Affairs, Moderna, Inc., Cambridge, Massachusetts, USA
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16
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Wang W, Bhushan G, Paz S, Stauft CB, Selvaraj P, Goguet E, Bishop-Lilly KA, Subramanian R, Vassell R, Lusvarghi S, Cong Y, Agan B, Richard SA, Epsi NJ, Fries A, Fung CK, Conte MA, Holbrook MR, Wang TT, Burgess TH, Pollett SD, Mitre E, Katzelnick LC, Weiss CD. Human and hamster sera correlate well in identifying antigenic drift among SARS-CoV-2 variants, including JN.1. J Virol 2024; 98:e0094824. [PMID: 39365051 DOI: 10.1128/jvi.00948-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2024] [Accepted: 09/14/2024] [Indexed: 10/05/2024] Open
Abstract
Antigenic assessments of SARS-CoV-2 variants inform decisions to update COVID-19 vaccines. Primary infection sera are often used for assessments, but such sera are rare due to population immunity from SARS-CoV-2 infections and COVID-19 vaccinations. Here, we show that neutralization titers and breadth of matched human and hamster pre-Omicron variant primary infection sera correlate well and generate similar antigenic maps. The hamster antigenic map shows modest antigenic drift among XBB sub-lineage variants, with JN.1 and BA.4/BA.5 variants within the XBB cluster, but with fivefold to sixfold antigenic differences between these variants and XBB.1.5. Compared to sera following only ancestral or bivalent COVID-19 vaccinations, or with post-vaccination infections, XBB.1.5 booster sera had the broadest neutralization against XBB sub-lineage variants, although a fivefold titer difference was still observed between JN.1 and XBB.1.5 variants. These findings suggest that antibody coverage of antigenically divergent JN.1 could be improved with a matched vaccine antigen.IMPORTANCEUpdates to COVID-19 vaccine antigens depend on assessing how much vaccine antigens differ antigenically from newer SARS-CoV-2 variants. Human sera from single variant infections are ideal for discriminating antigenic differences among variants, but such primary infection sera are now rare due to high population immunity. It remains unclear whether sera from experimentally infected animals could substitute for human sera for antigenic assessments. This report shows that neutralization titers of variant-matched human and hamster primary infection sera correlate well and recognize variants similarly, indicating that hamster sera can be a proxy for human sera for antigenic assessments. We further show that human sera following an XBB.1.5 booster vaccine broadly neutralized XBB sub-lineage variants but titers were fivefold lower against the more recent JN.1 variant. These findings support updating the current COVID-19 vaccine variant composition and developing a framework for assessing antigenic differences in future variants using hamster primary infection sera.
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Affiliation(s)
- Wei Wang
- Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA
| | - Gitanjali Bhushan
- Viral Epidemiology and Immunity Unit, Laboratory of Infectious Diseases, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Stephanie Paz
- Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA
| | - Charles B Stauft
- Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA
| | - Prabhuanand Selvaraj
- Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA
| | - Emilie Goguet
- Department of Microbiology and Immunology, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, Maryland, USA
| | - Kimberly A Bishop-Lilly
- Biological Defense Research Directorate, Naval Medical Research Command, Fort Detrick, Maryland, USA
| | - Rahul Subramanian
- Office of Data Science and Emerging Technologies, Office of Science Management and Operations, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Russell Vassell
- Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA
| | - Sabrina Lusvarghi
- Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA
| | - Yu Cong
- Integrated Research Facility, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, Maryland, USA
| | - Brian Agan
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, Maryland, USA
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
| | - Stephanie A Richard
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, Maryland, USA
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
| | - Nusrat J Epsi
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, Maryland, USA
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
| | - Anthony Fries
- US Air Force School of Aerospace Medicine, Dayton, Ohio, USA
| | - Christian K Fung
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, Maryland, USA
| | - Matthew A Conte
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, Maryland, USA
| | - Michael R Holbrook
- Integrated Research Facility, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, Maryland, USA
| | - Tony T Wang
- Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA
| | - Timothy H Burgess
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
| | - Simon D Pollett
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, Maryland, USA
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
| | - Edward Mitre
- Department of Microbiology and Immunology, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
| | - Leah C Katzelnick
- Viral Epidemiology and Immunity Unit, Laboratory of Infectious Diseases, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Carol D Weiss
- Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA
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17
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Andersson NW, Thiesson EM, Pihlström N, Perälä J, Faksová K, Gram MA, Poukka E, Leino T, Ljung R, Hviid A. Comparative effectiveness of monovalent XBB.1.5 containing covid-19 mRNA vaccines in Denmark, Finland, and Sweden: target trial emulation based on registry data. BMJ MEDICINE 2024; 3:e001074. [PMID: 39902239 PMCID: PMC11789462 DOI: 10.1136/bmjmed-2024-001074] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/02/2024] [Accepted: 10/14/2024] [Indexed: 02/05/2025]
Abstract
ABSTRACT Objective To estimate the effectiveness of vaccination with a monovalent covid-19 mRNA vaccine containing the omicron XBB.1.5 subvariant against severe covid-19 disease in Denmark, Finland, and Sweden. Design Target trial emulation based on registry data. Setting Denmark, Finland, and Sweden, 1 October 2023 to 21 April 2024. Participants Source population of 3 898 264 individuals eligible for vaccination with the XBB.1.5 containing covid-19 mRNA vaccine at the start of the study on 1 October 2023. Study cohort comprised 1 876 282 recipients of an XBB.1.5 containing vaccine during the study period matched with 1 876 282 non-recipients. Individuals were aged ≥65 years (mean age 75.4 years, standard deviation 7.4 years) and had received at least four doses of a previous covid-19 vaccine. Main outcome measures Cumulative incidences of hospital admissions and deaths related to covid-19 in a follow-up period of 24 weeks after immunisation (defined as one week after vaccination) in recipients of an XBB.1.5 containing covid-19 mRNA vaccine and matched non-recipients. Cumulative incidences were used to calculate comparative vaccine effectiveness (1-risk ratio) and risk differences. Results The associated comparative vaccine effectiveness was 57.9% (95% confidence interval (CI) 49.9% to 65.8%) against hospital admission for covid-19 (1085 v 2635 events) and 75.2% (70.6% to 79.9%) against deaths related to covid-19 disease (348 v 1458 events) after 24 weeks of follow-up. This result corresponded to 154.7 (95% CI 78.3 to 231.0) hospital admissions for covid-19 and 120.3 (110.5 to 130.2) deaths prevented per 100 000 individuals who were vaccinated with an XBB.1.5 containing vaccine. The associated comparative vaccine effectiveness was similar irrespective of sex, age group (65-74 v ≥75 years), number of doses of previous covid-19 vaccines, subgroup of co-administered seasonal influenza vaccines, and period of when either the omicron XBB or BA.2.86 sublineage was predominant. Although the observed reduction in risk was highest during the first weeks after vaccination, comparative vaccine effectiveness was well maintained after 24 weeks of follow-up. Conclusions In this study, in adults aged ≥65 years, vaccination with a monovalent XBB.1.5 containing covid-19 mRNA vaccine was associated with reduced rates of hospital admissions for covid-19 and deaths related to covid-19, during the autumn and winter of 2023-24 in Denmark, Finland, and Sweden.
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Affiliation(s)
| | | | - Nicklas Pihlström
- Division of Use and
Information, Swedish Medical Products Agency,
Uppsala, Sweden
- Institute of
Environmental Medicine, Karolinska Institutet,
Stockholm, Sweden
| | - Jori Perälä
- Infectious Disease
Control and Vaccinations Unit, Department of Health Security,
Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Kristýna Faksová
- Department of
Epidemiology Research, Statens Serum Institut,
Copenhagen, Denmark
| | - Mie Agermose Gram
- Department of
Epidemiology Research, Statens Serum Institut,
Copenhagen, Denmark
| | - Eero Poukka
- Infectious Disease
Control and Vaccinations Unit, Department of Health Security,
Finnish Institute for Health and Welfare, Helsinki, Finland
- Department of Public
Health, Faculty of Medicine, University of
Helsinki, Helsinki,
Finland
| | - Tuija Leino
- Infectious Disease
Control and Vaccinations Unit, Department of Health Security,
Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Rickard Ljung
- Division of Use and
Information, Swedish Medical Products Agency,
Uppsala, Sweden
- Institute of
Environmental Medicine, Karolinska Institutet,
Stockholm, Sweden
| | - Anders Hviid
- Department of
Epidemiology Research, Statens Serum Institut,
Copenhagen, Denmark
- Pharmacovigilance
Research Centre, Department of Drug Design and Pharmacology, Faculty of Health and
Medical Sciences, University of Copenhagen,
Copenhagen, Denmark
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18
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Caffrey AR, Appaneal HJ, Lopes VV, Puzniak L, Zasowski EJ, Jodar L, LaPlante KL, McLaughlin JM. Effectiveness of BNT162b2 XBB vaccine in the US Veterans Affairs Healthcare System. Nat Commun 2024; 15:9490. [PMID: 39488521 PMCID: PMC11531596 DOI: 10.1038/s41467-024-53842-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Accepted: 10/23/2024] [Indexed: 11/04/2024] Open
Abstract
Data evaluating effectiveness of XBB.1.5-adapted vaccines against JN.1-related endpoints are scarce. This nationwide test-negative case-control study within the US Veterans Affairs Healthcare System aims to estimate vaccine effectiveness (VE) of BNT162b2 XBB.1.5-adapted vaccine compared to not receiving an XBB vaccine of any kind against COVID-19 hospitalization, emergency department or urgent care visits (ED/UC), and outpatient visits. Between September 25, 2023 and January 31, 2024, effectiveness was 24-35% during a period of JN.1 predominance and 50-61% during XBB predominance across all outcomes. VE within 60 days of vaccination during the likely JN.1 period was 32% (95% confidence interval 3-52%) against hospitalization, 41% (23-54%) against ED/UC visits, and 31% (1-52%) against outpatient visits. Corresponding VE during the likely XBB period was 62% (44-74%), 52% (37-63%), and 50% (25-66%) by setting, respectively. Here, we show the importance of strain match to maximize the public health impact of COVID-19 vaccination.
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Affiliation(s)
- Aisling R Caffrey
- Infectious Diseases Research Program, Providence Veterans Affairs Healthcare System, Providence, RI, USA.
- Center of Innovation in Long-Term Support Services, Providence Veterans Affairs Healthcare System, Providence, RI, USA.
- College of Pharmacy, University of Rhode Island, Kingston, RI, USA.
- School of Public Health, Brown University, Providence, RI, USA.
| | - Haley J Appaneal
- Infectious Diseases Research Program, Providence Veterans Affairs Healthcare System, Providence, RI, USA
- Center of Innovation in Long-Term Support Services, Providence Veterans Affairs Healthcare System, Providence, RI, USA
- College of Pharmacy, University of Rhode Island, Kingston, RI, USA
| | - Vrishali V Lopes
- Infectious Diseases Research Program, Providence Veterans Affairs Healthcare System, Providence, RI, USA
| | | | | | | | - Kerry L LaPlante
- Infectious Diseases Research Program, Providence Veterans Affairs Healthcare System, Providence, RI, USA
- Center of Innovation in Long-Term Support Services, Providence Veterans Affairs Healthcare System, Providence, RI, USA
- College of Pharmacy, University of Rhode Island, Kingston, RI, USA
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19
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Lee JA, Jang H, Ahn SM, Seong JE, Kim YK, Sohn Y, Jung SI, Jeong HW, Kim SW, Lee JS, Baek JH, Lee SJ, Kwon GY, Shin J, Jeong H, Kim C, Choi JY. Estimates of vaccine effectiveness of the updated monovalent XBB.1.5 COVID-19 vaccine against symptomatic SARS-CoV-2 infection, hospitalization, and receipt of oxygen therapy in South Korea - October 26 to December 31, 2023. Int J Infect Dis 2024; 148:107249. [PMID: 39307179 DOI: 10.1016/j.ijid.2024.107249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2024] [Revised: 09/02/2024] [Accepted: 09/17/2024] [Indexed: 10/12/2024] Open
Abstract
OBJECTIVES We evaluated the vaccine effectiveness of monovalent XBB.1.5 vaccine against symptomatic COVID-19 infection, hospitalization, and the need for oxygen therapy in South Korea. DESIGN This study employed a test-negative case-control design. COVID-19 test results in symptomatic subjects from six university hospitals across South Korea were collected (October 26-December 31, 2023). The adjusted absolute and relative vaccine effectiveness were assessed. RESULTS In total, 5516 subjects were enrolled: 4,824 were unvaccinated with XBB.1.5, and 692 were vaccinated with XBB.1.5 COVID-19 mRNA vaccines. The absolute vaccine effectiveness when comparing the odds between XBB.1.5 vaccination and no vaccination against symptomatic COVID-19 infection, hospitalization, and oxygen therapy was 65.2% (95% CI, 36.1-81.0), 77.3% (95% CI, 51.1-89.5), and 85.3% (95% CI, 57.8-94.9), respectively. The relative vaccine effectiveness when comparing the odds between XBB.1.5 vaccination and no XBB.1.5 vaccination against symptomatic COVID-19 infection, hospitalization, and oxygen therapy was 57.7% (95% CI, 34.7-72.6), 64.3% (95% CI, 35.9-80.2), and 65.5% (95% CI, 27.0-83.7), respectively. CONCLUSION The short-term effectiveness of the XBB.1.5 vaccine against symptomatic COVID-19 infection, hospitalization, and receipt of oxygen therapy in South Korea was significant. Long-term vaccine effectiveness warrants evaluation, and these assessments should be conducted regularly.
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Affiliation(s)
- Jung Ah Lee
- Division of Infectious Diseases, Department of Internal Medicine, Yonsei University College of Medicine, Seodaemun-gu, Seoul, Republic of Korea
| | - Heeseon Jang
- Department of Preventive Medicine, Yonsei University College of Medicine, Seodaemun-gu, Seoul, Republic of Korea
| | - Sang Min Ahn
- Division of Infectious Diseases, Department of Internal Medicine, Yonsei University College of Medicine, Seodaemun-gu, Seoul, Republic of Korea
| | - Jae Eun Seong
- Division of Infectious Diseases, Department of Internal Medicine, Yonsei University College of Medicine, Seodaemun-gu, Seoul, Republic of Korea
| | - Young Keun Kim
- Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea
| | - Yujin Sohn
- Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea
| | - Sook In Jung
- Department of Infectious Diseases, Chonnam National University Medical School, Dong-gu, Gwangju, Republic of Korea
| | - Hye Won Jeong
- Department of Internal Medicine, Chungbuk National University College of Medicine, Seowon-gu, Cheongju, Republic of Korea
| | - Shin-Woo Kim
- Department of Internal Medicine, Kyungpook National University School of Medicine, Jung-gu, Daegu, Republic of Korea
| | - Jin-Soo Lee
- Division of Infectious Diseases, Department of Internal Medicine, Inha University College of Medicine, Michuhol-gu, Incheon, Republic of Korea
| | - Ji-Hyeon Baek
- Division of Infectious Diseases, Department of Internal Medicine, Inha University College of Medicine, Michuhol-gu, Incheon, Republic of Korea
| | - Se Ju Lee
- Division of Infectious Diseases, Department of Internal Medicine, Inha University College of Medicine, Michuhol-gu, Incheon, Republic of Korea
| | - Geun-Yong Kwon
- Division of Immunization, Korea Disease Control and Prevention Agency, Heungdeok-gu, Cheongju, Republic of Korea
| | - Jeeyeon Shin
- Division of Immunization, Korea Disease Control and Prevention Agency, Heungdeok-gu, Cheongju, Republic of Korea
| | - Hangjin Jeong
- Division of Immunization, Korea Disease Control and Prevention Agency, Heungdeok-gu, Cheongju, Republic of Korea
| | - Changsoo Kim
- Department of Preventive Medicine, Yonsei University College of Medicine, Seodaemun-gu, Seoul, Republic of Korea
| | - Jun Yong Choi
- Division of Infectious Diseases, Department of Internal Medicine, Yonsei University College of Medicine, Seodaemun-gu, Seoul, Republic of Korea.
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20
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Alshamrani M, Farahat F, Alzunitan M, Hasan MA, Alsherbini N, Albarrak A, Johani SMA, Shibl A, Al-Tawfiq JA, Zumla A, Memish ZA. Hajj vaccination strategies: Preparedness for risk mitigation. J Infect Public Health 2024; 17:102547. [PMID: 39353398 DOI: 10.1016/j.jiph.2024.102547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2024] [Revised: 08/28/2024] [Accepted: 09/15/2024] [Indexed: 10/04/2024] Open
Abstract
Millions of pilgrims travel annually to Makkah and Madinah, Saudi Arabia, for the Hajj, posing unique challenges for public health management and disease control. The large influx of pilgrims from diverse backgrounds traveling to a confined geographic area, coupled with the close proximity and interactions among them, create significant pressure on the healthcare system and heighten the potential for the spread of communicable diseases. This review examines current trends in communicable diseases and their impact, drawing insights from expert perspectives on the required (i.e., meningococcal meningitis, polio, and yellow fever) and recommended vaccinations (influenza, COVID-19) for Hajj participants. The updated COVID-19 vaccine is mandatory for local pilgrims and is strongly recommended for international visitors, with ongoing discussions on adapting protocols to address emerging variants. The timing and strain coverage of influenza vaccination, along with quadrivalent meningococcal vaccination, are also emphasized as critical preventive measures. Diseases such as cholera and yellow fever are addressed underscoring the need for rigorous surveillance and targeted vaccination strategies to mitigate the risk of transmission during the Hajj. By providing up-to-date information on mandated and recommended vaccinations, this review aims to empower pilgrims and healthcare professionals to make informed decisions regarding public health and disease prevention during this significant event.
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Affiliation(s)
- Majid Alshamrani
- Infection Prevention and Control Program, King Abdulaziz Medical City, Riyadh, Saudi Arabia; King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia; King Abdullah International Medical Research Center, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
| | - Fayssal Farahat
- Infection Prevention and Control Program, King Abdulaziz Medical City, Riyadh, Saudi Arabia; King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia; King Abdullah International Medical Research Center, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia.
| | - Mohammed Alzunitan
- Infection Prevention and Control Program, King Abdulaziz Medical City, Riyadh, Saudi Arabia; King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia; King Abdullah International Medical Research Center, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
| | | | - Nisreen Alsherbini
- Infectious Disease Division, Internal Medicine Department, Prince Sultan Military Medical City, Riyadh, Saudi Arabia
| | - Ali Albarrak
- Infectious Disease Division, Internal Medicine Department, Prince Sultan Military Medical City, Riyadh, Saudi Arabia
| | - Sameera M Al Johani
- King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia; King Abdullah International Medical Research Center, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia; King AbdulAziz Medical City, Department of Pathology & Laboratory Medicine, Riyadh, Saudi Arabia
| | - Atef Shibl
- Al Faisal University, Riyadh, Saudi Arabia
| | - Jaffar A Al-Tawfiq
- Infectious Disease Unit, Johns Hopkins Aramco Healthcare, Dhahran, Saudi Arabia; Division of Infectious Diseases, Indiana University School of Medicine, Indianapolis, IN, USA; Division of Infectious Diseases, Johns Hopkins University, Baltimore, MD, USA
| | - Alimuddin Zumla
- Department of Infection, Division of Infection and Immunity, Centre for Clinical Microbiology, University College London, London, UK; NIHR Biomedical Research Centre, University College London Hospitals NHS Foundation Trust, London, UK
| | - Ziad A Memish
- King Salman Humanitarian Aid and Relief Center and College of Medicine, Al faisal University, Riyadh, Saudi Arabia; Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA; Divisionof Infectious Diseases, Kyung Hee University, Seoul, South Korea
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21
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Agampodi S, Tadesse BT, Sahastrabuddhe S, Excler JL, Kim JH. Biases in COVID-19 vaccine effectiveness studies using cohort design. Front Med (Lausanne) 2024; 11:1474045. [PMID: 39540039 PMCID: PMC11557388 DOI: 10.3389/fmed.2024.1474045] [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: 07/31/2024] [Accepted: 10/14/2024] [Indexed: 11/16/2024] Open
Abstract
Observational studies on COVID-19 vaccine effectiveness (VE) have provided critical real-world data, informing public health policy globally. These studies, primarily using pre-existing data sources, have been indispensable in assessing VE across diverse populations and developing sustainable vaccination strategies. Cohort design is frequently employed in VE research. The rapid implementation of vaccination campaigns during the COVID-19 pandemic introduced differential vaccination influenced by sociodemographic disparities, public policies, perceived risks, health-promoting behaviors, and health status, potentially resulting in biases such as healthy user bias, healthy vaccinee effect, frailty bias, differential depletion of susceptibility bias, and confounding by indication. The overwhelming burden on healthcare systems has escalated the risk of data inaccuracies, leading to outcome misclassifications. Additionally, the extensive array of diagnostic tests used during the pandemic has also contributed to misclassification biases. The urgency to publish quickly may have further influenced these biases or led to their oversight, affecting the validity of the findings. These biases in studies vary considerably depending on the setting, data sources, and analytical methods and are likely more pronounced in low- and middle-income country (LMIC) settings due to inadequate data infrastructure. Addressing and mitigating these biases is essential for accurate VE estimates, guiding public health strategies, and sustaining public trust in vaccination programs. Transparent communication about these biases and rigorous improvement in the design of future observational studies are essential.
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Affiliation(s)
- Suneth Agampodi
- Innovation, Initiatives and Enterprise Development Unit, International Vaccine Institute, Seoul, Republic of Korea
- Section of Infectious Diseases, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, United States
| | - Birkneh Tilahun Tadesse
- Epidemiology, Public Health, and Impact Unit, International Vaccine Institute, Seoul, Republic of Korea
| | - Sushant Sahastrabuddhe
- Innovation, Initiatives and Enterprise Development Unit, International Vaccine Institute, Seoul, Republic of Korea
| | | | - Jerome Han Kim
- International Vaccine Institute, Seoul, Republic of Korea
- College of Natural Sciences, Seoul National University, Seoul, Republic of Korea
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22
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Nagano M, Tanabe K, Kamei K, Lim S, Nakamura H, Ito S. Public Health and Economic Impact of Periodic COVID-19 Vaccination with BNT162b2 for Old Adults and High-Risk Patients in an Illustrative Prefecture of Japan: A Budget Impact Analysis. Infect Dis Ther 2024; 13:2155-2177. [PMID: 39254889 PMCID: PMC11416454 DOI: 10.1007/s40121-024-01032-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2024] [Accepted: 08/07/2024] [Indexed: 09/11/2024] Open
Abstract
INTRODUCTION Japan will be transitioning from the free-of-charge COVID-19 vaccination program to annual periodic vaccination under a national immunization program for old adults and high-risk patients from 2024 fall/winter season. The policy transition including out-of-pocket payment requirement may discourage vaccination, leading to a lower vaccination rate. This study aimed to estimate the impact of varying vaccination rates with BNT162b2 COVID-19 mRNA vaccine on economics and public health in an illustrative prefecture which administers and promotes the periodic vaccination program, using budget impact analysis. METHODS A combined cohort Markov decision tree model estimated the public health outcomes of COVID-19-related symptomatic cases, hospitalizations and deaths; and the economic outcomes including vaccine-related cost, non-vaccine-related medical cost, and productivity loss from the societal perspective. The base case examined the impact on the outcomes when vaccination coverage changed from the reference value of 50% to upper and lower values, respectively. Scenario analyses were performed based on multiple scenarios. RESULTS Increase in the vaccination rate demonstrated improvement in all public health outcomes. At 50% vaccination, the vaccine-related cost for 3 years in a prefecture was estimated at JPY 7.58 billion (USD 57.67 million), the non-vaccine-related medical cost at JPY 79.22 billion (USD 602.48 million), the productivity loss at JPY 253.11 billion (USD 1.92 billion), and the total cost at JPY 339.92 billion (USD 2.59 billion). When the vaccination rate increased to 90%, the total cost decreased by JPY 4.88 billion (USD 37.11 million) (1.4%). When the vaccination rate decreased to 10%, the total cost increased by JPY 5.73 billion (USD 43.58 million) (1.7%). Results were consistent across almost all scenario analyses. CONCLUSIONS Maintaining a high vaccination rate with BNT162b2 is important from both public health and economic perspectives in Japan. The findings highlight to local governments the importance of continued effort to promote vaccination.
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Affiliation(s)
- Mitsuhiro Nagano
- Japan Access and Value, Pfizer Japan Inc., 3-22-7, Yoyogi, Shibuya-ku, Tokyo, 151-8589, Japan.
| | - Kosuke Tanabe
- Vaccine Medical Affairs, Pfizer Japan Inc., Tokyo, Japan
| | - Kazumasa Kamei
- Japan Access and Value, Pfizer Japan Inc., 3-22-7, Yoyogi, Shibuya-ku, Tokyo, 151-8589, Japan
| | - Sooyeol Lim
- HEOR, Value and Access, INTAGE Healthcare Inc., Tokyo, Japan
| | - Honoka Nakamura
- HEOR, Value and Access, INTAGE Healthcare Inc., Tokyo, Japan
| | - Shuhei Ito
- Vaccine Medical Affairs, Pfizer Japan Inc., Tokyo, Japan
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23
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Malay S, Madabhavi IV, Tripathi A. SARS-CoV-2 JN.1 variant: a short review. Monaldi Arch Chest Dis 2024. [PMID: 39221683 DOI: 10.4081/monaldi.2024.2981] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Accepted: 07/16/2024] [Indexed: 09/04/2024] Open
Abstract
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a single-stranded, positive-sense RNA virus. The SARS-CoV-2 virus is evolving continuously, and many variants have been detected over the last few years. SARS-CoV-2, as an RNA virus, is more prone to mutating. The continuous evolution of the SARS-CoV-2 virus is due to genetic mutation and recombination during the genomic replication process. Recombination is a naturally occurring phenomenon in which two distinct viral lineages simultaneously infect the same cellular entity in an individual. The evolution rate depends on the rate of mutation. The rate of mutation is variable among the RNA viruses, with the SARS-CoV-2 virus exhibiting a lower rate of mutation than other RNA viruses. The novel 3'-to-5' exoribonuclease proofreading machinery is responsible for a lower rate of mutation. Infection due to the SARS-CoV-2, influenza, and respiratory syncytial virus has been reported from around the world during the same period of fall and winter, resulting in a "tripledemic." The JN.1 variant, which evolved from the predecessor, the omicron variant BA.2.86, is currently the most dominant globally. The impact of the JN.1 variant on transmissibility, disease severity, immune evasion, and diagnostic and therapeutic escape will be discussed.
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Affiliation(s)
- Sarkar Malay
- Department of Pulmonary Medicine, Indira Gandhi Medical College, Shimla, Himachal Pradesh.
| | - Irappa V Madabhavi
- Department of Medical and Pediatric Oncology, J N Medical College; KLE Academy of Higher Education and Research (KAHER), Belagavi; Kerudi Cancer Hospital, Bagalkot, Karnataka.
| | - Anurag Tripathi
- Department of Pulmonary and Critical Care Medicine, King George's Medical University, Lucknow.
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24
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Tartof SY, Slezak JM, Frankland TB, Puzniak L, Hong V, Ackerson BK, Stern JA, Zamparo J, Simmons S, Jodar L, McLaughlin JM. Estimated Effectiveness of the BNT162b2 XBB Vaccine Against COVID-19. JAMA Intern Med 2024; 184:932-940. [PMID: 38913355 PMCID: PMC11197441 DOI: 10.1001/jamainternmed.2024.1640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Accepted: 03/22/2024] [Indexed: 06/25/2024]
Abstract
Importance Data describing the early additional protection afforded by the recently recommended BNT162b2 XBB vaccine (Pfizer-BioNTech; 2023-2024 formulation) are limited. Objective To estimate the association between receipt of the BNT162b2 XBB vaccine and medically attended COVID-19 outcomes among US adults 18 years and older. Design, Setting, and Participants This test-negative case-control study was performed to estimate the effectiveness of the BNT162b2 XBB vaccine against COVID-19-associated hospitalization and emergency department (ED) or urgent care (UC) encounters among adults in the Kaiser Permanente Southern California health system between October 10, 2023, and December 10, 2023. Cases were those presenting with an acute respiratory illness and who had a positive SARS-CoV-2 polymerase chain reaction test; controls had an acute respiratory illness but tested negative for SARS-CoV-2. Exposure The primary exposure was receipt of the BNT162b2 XBB vaccine compared with not receiving an XBB vaccine of any kind, regardless of prior COVID-19 vaccination or SARS-CoV-2 infection history. Receipt of prior (non-XBB) versions of COVID-19 vaccines was also compared with being unvaccinated to estimate remaining protection from older vaccines. Main Outcomes and Measures Analyses for cases and controls were conducted separately for COVID-19 hospital admissions and ED/UC encounters. Adjusted odds ratios and 95% CIs were estimated from multivariable logistic regression models that were adjusted for patient demographic and clinical characteristics. Estimation of vaccine effectiveness was calculated as 1 - odds ratio × 100%. Results Among 2854 cases and 15 345 controls (median [IQR] age, 56 [37-72] years; 10 658 [58.6%] female), adjusted estimation of effectiveness of the BNT162b2 XBB vaccine received a median of 34 days prior vs not having received an XBB vaccine of any kind was 62% (95% CI, 32%-79%) against COVID-19 hospitalization and 58% (95% CI, 48%-67%) for ED/UC visits. Compared with being unvaccinated, those who had received only older versions of COVID-19 vaccines did not show statistically significant reduced risk of COVID-19 outcomes, including hospital admission. Conclusions and Relevance Findings of this case-control study reaffirm current recommendations for broad age-based use of annually updated COVID-19 vaccines given that (1) the BNT162b2 XBB vaccine provided statistically significant additional protection against a range of COVID-19 outcomes and (2) older versions of COVID-19 vaccines offered little, if any, long-term protection, including against hospital admission, regardless of the number or type of prior doses received.
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Affiliation(s)
- Sara Y. Tartof
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California
| | - Jeff M. Slezak
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena
| | | | | | - Vennis Hong
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena
| | | | - Julie A. Stern
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena
| | | | - Sarah Simmons
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena
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25
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Mattiuzzi C, Lippi G. Evidence of concerning decline of COVID-19 vaccination in older persons. Immunol Res 2024; 72:521-522. [PMID: 38277057 DOI: 10.1007/s12026-024-09460-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 01/24/2024] [Indexed: 01/27/2024]
Affiliation(s)
- Camilla Mattiuzzi
- Medical Direction, Rovereto Hospital, Service of Clinical Governance and Medical Direction, Provincial Agency for Social and Sanitary Services (APSS), Trento, Italy
| | - Giuseppe Lippi
- Section of Clinical Biochemistry, University of Verona, Piazzale L.A. Scuro, 10, 37134, Verona, Italy.
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26
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Tartof SY, Slezak JM, Puzniak L, Frankland TB, Ackerson BK, Jodar L, McLaughlin JM. Effectiveness of BNT162b2 XBB Vaccine Against XBB and JN.1 Sublineages. Open Forum Infect Dis 2024; 11:ofae370. [PMID: 39015348 PMCID: PMC11250225 DOI: 10.1093/ofid/ofae370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2024] [Accepted: 06/27/2024] [Indexed: 07/18/2024] Open
Abstract
We provide updated results (11 October 2023 through 29 February 2024) from our previously conducted test-negative case-control study in Kaiser Permanente Southern California to evaluate sublineage-specific effectiveness of the BNT162b2 XBB1.5-adapted vaccine. Results suggest that XBB1.5-adapted vaccines may have reduced effectiveness against JN.1 versus XBB sublineages.
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Affiliation(s)
- Sara Y Tartof
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA
| | - Jeff M Slezak
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA
| | - Laura Puzniak
- Global Vaccines and Antivirals, Pfizer Inc, Collegeville, Pennsylvania, USA
| | - Timothy B Frankland
- Center for Integrated Health Care Research (CIHR), Kaiser Permanente Hawaii, Honolulu, Hawaii, USA
| | - Bradley K Ackerson
- Department of Pediatric Infectious Diseases, Southern California Permanente Medical Group, Harbor City, California, USA
| | - Luis Jodar
- Global Vaccines and Antivirals, Pfizer Inc, Collegeville, Pennsylvania, USA
| | - John M McLaughlin
- Global Vaccines and Antivirals, Pfizer Inc, Collegeville, Pennsylvania, USA
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27
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Nham E, Sohn JW, Choi WS, Wie SH, Lee J, Lee JS, Jeong HW, Eom JS, Choi YJ, Seong H, Yoon JG, Noh JY, Song JY, Cheong HJ, Kim WJ. Effectiveness of COVID-19 XBB.1.5 monovalent mRNA vaccine in Korea: interim analysis. Front Immunol 2024; 15:1382944. [PMID: 38803497 PMCID: PMC11128628 DOI: 10.3389/fimmu.2024.1382944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Accepted: 04/10/2024] [Indexed: 05/29/2024] Open
Abstract
As coronavirus disease-2019 (COVID-19) becomes an endemic disease, the virus continues to evolve and become immunologically distinct from previous strains. Immune imprinting has raised concerns about bivalent mRNA vaccines containing both ancestral virus and Omicron variant. To increase efficacy against the predominant strains as of the second half of 2023, the updated vaccine formulation contained only the mRNA of XBB.1.5 sublineage. We conducted a multicenter, test-negative, case-control study to estimate XBB.1.5 monovalent vaccine effectiveness (VE) and present the results of an interim analysis with data collected in November 2023. Patients who underwent COVID-19 testing at eight university hospitals were included and matched based on age (19-49, 50-64, and ≥65 years) and sex in a 1:1 ratio. VE was calculated using the adjusted odds ratio derived from multivariable logistic regression. Of the 992 patients included, 49 (5.3%) received the XBB.1.5 monovalent vaccine at least 7 days before COVID-19 testing. Patients with COVID-19 (cases) were less likely to have received the XBB.1.5 monovalent vaccine (case 3.5% vs. control 7.2%, p=0.019) and to have a history of COVID-19 within 6 months (2.2% vs. 4.6%, p=0.068). In contrast, patients with COVID-19 were more likely to be healthcare workers (8.2% vs. 3.0%, p=0.001) and to have chronic neurological diseases (16.7% vs. 11.9%, p=0.048). The adjusted VE of the XBB.1.5 monovalent mRNA vaccine was 56.8% (95% confidence interval: 18.7-77.9%). XBB.1.5 monovalent mRNA vaccine provided significant protection against COVID-19 in the first one to two months after vaccination.
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Affiliation(s)
- Eliel Nham
- Division of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea
- Vaccine Innovation Center-Korea University (KU) Medicine (VIC-K), Seoul, Republic of Korea
| | - Jang Wook Sohn
- Division of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea
- Vaccine Innovation Center-Korea University (KU) Medicine (VIC-K), Seoul, Republic of Korea
| | - Won Suk Choi
- Division of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea
- Vaccine Innovation Center-Korea University (KU) Medicine (VIC-K), Seoul, Republic of Korea
| | - Seong-Heon Wie
- Division of Infectious Diseases, Department of Internal Medicine, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, Suwon, Republic of Korea
| | - Jacob Lee
- Division of Infectious Diseases, Department of Internal Medicine, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Republic of Korea
| | - Jin-Soo Lee
- Division of Infectious Diseases, Department of Internal Medicine, Inha University School of Medicine, Incheon, Republic of Korea
| | - Hye Won Jeong
- Department of Internal Medicine, Chungbuk National University College of Medicine, Cheongju, Republic of Korea
| | - Joong Sik Eom
- Division of Infectious Diseases, Department of Internal Medicine, Gil Medical Center, Gachon University College of Medicine, Incheon, Republic of Korea
| | - Yu Jung Choi
- Division of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea
- Vaccine Innovation Center-Korea University (KU) Medicine (VIC-K), Seoul, Republic of Korea
| | - Hye Seong
- Division of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea
- Vaccine Innovation Center-Korea University (KU) Medicine (VIC-K), Seoul, Republic of Korea
| | - Jin Gu Yoon
- Division of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea
- Vaccine Innovation Center-Korea University (KU) Medicine (VIC-K), Seoul, Republic of Korea
| | - Ji Yun Noh
- Division of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea
- Vaccine Innovation Center-Korea University (KU) Medicine (VIC-K), Seoul, Republic of Korea
| | - Joon Young Song
- Division of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea
- Vaccine Innovation Center-Korea University (KU) Medicine (VIC-K), Seoul, Republic of Korea
| | - Hee Jin Cheong
- Division of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea
- Vaccine Innovation Center-Korea University (KU) Medicine (VIC-K), Seoul, Republic of Korea
| | - Woo Joo Kim
- Division of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea
- Vaccine Innovation Center-Korea University (KU) Medicine (VIC-K), Seoul, Republic of Korea
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28
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Wang W, Bhushan GL, Paz S, Stauft CB, Selvaraj P, Goguet E, Bishop-Lilly KA, Subramanian R, Vassell R, Lusvarghi S, Cong Y, Agan B, Richard SA, Epsi NJ, Fries A, Fung CK, Conte MA, Holbrook MR, Wang TT, Burgess TH, Mitre E, Pollett SD, Katzelnick LC, Weiss CD. Antigenic cartography using hamster sera identifies SARS-CoV-2 JN.1 evasion seen in human XBB.1.5 booster sera. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.05.588359. [PMID: 38712124 PMCID: PMC11071293 DOI: 10.1101/2024.04.05.588359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2024]
Abstract
Antigenic assessments of SARS-CoV-2 variants inform decisions to update COVID-19 vaccines. Primary infection sera are often used for assessments, but such sera are rare due to population immunity from SARS-CoV-2 infections and COVID-19 vaccinations. Here, we show that neutralization titers and breadth of matched human and hamster pre-Omicron variant primary infection sera correlate well and generate similar antigenic maps. The hamster antigenic map shows modest antigenic drift among XBB sub-lineage variants, with JN.1 and BA.4/BA.5 variants within the XBB cluster, but with five to six-fold antigenic differences between these variants and XBB.1.5. Compared to sera following only ancestral or bivalent COVID-19 vaccinations, or with post-vaccination infections, XBB.1.5 booster sera had the broadest neutralization against XBB sub-lineage variants, although a five-fold titer difference was still observed between JN.1 and XBB.1.5 variants. These findings suggest that antibody coverage of antigenically divergent JN.1 could be improved with a matched vaccine antigen.
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Affiliation(s)
- Wei Wang
- Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA
| | - Gitanjali L. Bhushan
- Viral Epidemiology and Immunity Unit, Laboratory of Infectious Diseases, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Stephanie Paz
- Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA
| | - Charles B. Stauft
- Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA
| | - Prabhu Selvaraj
- Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA
| | - Emilie Goguet
- Department of Microbiology and Immunology, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc. Bethesda, Maryland, USA
| | - Kimberly A. Bishop-Lilly
- Biological Defense Research Directorate, Naval Medical Research Command, Fort Detrick, Maryland, USA
| | - Rahul Subramanian
- Office of Data Science and Emerging Technologies, Office of Science Management and Operations, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Russell Vassell
- Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA
| | - Sabrina Lusvarghi
- Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA
| | - Yu Cong
- Integrated Research Facility, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Ft. Detrick, Frederick, Maryland, USA
| | - Brian Agan
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc. Bethesda, Maryland, USA
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
| | - Stephanie A. Richard
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc. Bethesda, Maryland, USA
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
| | - Nusrat J. Epsi
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc. Bethesda, Maryland, USA
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
| | - Anthony Fries
- US Air Force School of Aerospace Medicine, Dayton, Ohio, USA
| | - Christian K. Fung
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Matthew A. Conte
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Michael R. Holbrook
- Integrated Research Facility, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Ft. Detrick, Frederick, Maryland, USA
| | - Tony T. Wang
- Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA
| | - Timothy H. Burgess
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
| | - Edward Mitre
- Department of Microbiology and Immunology, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
| | - Simon D. Pollett
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc. Bethesda, Maryland, USA
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
| | - Leah C. Katzelnick
- Viral Epidemiology and Immunity Unit, Laboratory of Infectious Diseases, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Carol D. Weiss
- Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA
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29
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Andusomeran and raxtozinameran for prevention of COVID-19 disease. Aust Prescr 2024; 47:64-65. [PMID: 38737372 PMCID: PMC11081734 DOI: 10.18773/austprescr.2024.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/14/2024] Open
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30
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Huiberts AJ, Hoeve CE, de Gier B, Cremer J, van der Veer B, de Melker HE, van de Wijgert JH, van den Hof S, Eggink D, Knol MJ. Effectiveness of Omicron XBB.1.5 vaccine against infection with SARS-CoV-2 Omicron XBB and JN.1 variants, prospective cohort study, the Netherlands, October 2023 to January 2024. Euro Surveill 2024; 29:2400109. [PMID: 38456217 PMCID: PMC10986669 DOI: 10.2807/1560-7917.es.2024.29.10.2400109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Accepted: 03/04/2024] [Indexed: 03/09/2024] Open
Abstract
We estimated vaccine effectiveness (VE) of SARS-CoV-2 Omicron XBB.1.5 vaccination against self-reported infection between 9 October 2023 and 9 January 2024 in 23,895 XBB.1.5 vaccine-eligible adults who had previously received at least one booster. VE was 41% (95% CI: 23-55) in 18-59-year-olds and 50% (95% CI: 44-56) in 60-85-year-olds. Sequencing data suggest lower protection against the BA.2.86 (including JN.1) variant from recent prior infection (OR = 2.8; 95% CI:1.2-6.5) and, not statistically significant, from XBB.1.5 vaccination (OR = 1.5; 95% CI:0.8-2.6).
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Affiliation(s)
- Anne J Huiberts
- Centre for Infectious Disease Control, National Institute for Public Health and Environment (RIVM), Bilthoven, the Netherlands
| | - Christina E Hoeve
- Centre for Infectious Disease Control, National Institute for Public Health and Environment (RIVM), Bilthoven, the Netherlands
| | - Brechje de Gier
- Centre for Infectious Disease Control, National Institute for Public Health and Environment (RIVM), Bilthoven, the Netherlands
| | - Jeroen Cremer
- Centre for Infectious Disease Control, National Institute for Public Health and Environment (RIVM), Bilthoven, the Netherlands
| | - Bas van der Veer
- Centre for Infectious Disease Control, National Institute for Public Health and Environment (RIVM), Bilthoven, the Netherlands
| | - Hester E de Melker
- Centre for Infectious Disease Control, National Institute for Public Health and Environment (RIVM), Bilthoven, the Netherlands
| | - Janneke Hhm van de Wijgert
- Centre for Infectious Disease Control, National Institute for Public Health and Environment (RIVM), Bilthoven, the Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht (UMCU), Utrecht, the Netherlands
| | - Susan van den Hof
- Centre for Infectious Disease Control, National Institute for Public Health and Environment (RIVM), Bilthoven, the Netherlands
| | - Dirk Eggink
- Centre for Infectious Disease Control, National Institute for Public Health and Environment (RIVM), Bilthoven, the Netherlands
- These authors contributed equally to this article and share last authorship
| | - Mirjam J Knol
- Centre for Infectious Disease Control, National Institute for Public Health and Environment (RIVM), Bilthoven, the Netherlands
- These authors contributed equally to this article and share last authorship
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31
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DeCuir J, Payne AB, Self WH, Rowley EA, Dascomb K, DeSilva MB, Irving SA, Grannis SJ, Ong TC, Klein NP, Weber ZA, Reese SE, Ball SW, Barron MA, Naleway AL, Dixon BE, Essien I, Bride D, Natarajan K, Fireman B, Shah AB, Okwuazi E, Wiegand R, Zhu Y, Lauring AS, Martin ET, Gaglani M, Peltan ID, Brown SM, Ginde AA, Mohr NM, Gibbs KW, Hager DN, Prekker M, Mohamed A, Srinivasan V, Steingrub JS, Khan A, Busse LW, Duggal A, Wilson JG, Chang SY, Mallow C, Kwon JH, Exline MC, Columbus C, Vaughn IA, Safdar B, Mosier JM, Harris ES, Casey JD, Chappell JD, Grijalva CG, Swan SA, Johnson C, Lewis NM, Ellington S, Adams K, Tenforde MW, Paden CR, Dawood FS, Fleming-Dutra KE, Surie D, Link-Gelles R, CDC COVID-19 Vaccine Effectiveness Collaborators. Interim Effectiveness of Updated 2023-2024 (Monovalent XBB.1.5) COVID-19 Vaccines Against COVID-19-Associated Emergency Department and Urgent Care Encounters and Hospitalization Among Immunocompetent Adults Aged ≥18 Years - VISION and IVY Networks, September 2023-January 2024. MMWR. MORBIDITY AND MORTALITY WEEKLY REPORT 2024; 73:180-188. [PMID: 38421945 PMCID: PMC10907041 DOI: 10.15585/mmwr.mm7308a5] [Citation(s) in RCA: 26] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/02/2024]
Abstract
In September 2023, CDC's Advisory Committee on Immunization Practices recommended updated 2023-2024 (monovalent XBB.1.5) COVID-19 vaccination for all persons aged ≥6 months to prevent COVID-19, including severe disease. However, few estimates of updated vaccine effectiveness (VE) against medically attended illness are available. This analysis evaluated VE of an updated COVID-19 vaccine dose against COVID-19-associated emergency department (ED) or urgent care (UC) encounters and hospitalization among immunocompetent adults aged ≥18 years during September 2023-January 2024 using a test-negative, case-control design with data from two CDC VE networks. VE against COVID-19-associated ED/UC encounters was 51% (95% CI = 47%-54%) during the first 7-59 days after an updated dose and 39% (95% CI = 33%-45%) during the 60-119 days after an updated dose. VE estimates against COVID-19-associated hospitalization from two CDC VE networks were 52% (95% CI = 47%-57%) and 43% (95% CI = 27%-56%), with a median interval from updated dose of 42 and 47 days, respectively. Updated COVID-19 vaccine provided increased protection against COVID-19-associated ED/UC encounters and hospitalization among immunocompetent adults. These results support CDC recommendations for updated 2023-2024 COVID-19 vaccination. All persons aged ≥6 months should receive updated 2023-2024 COVID-19 vaccine.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - CDC COVID-19 Vaccine Effectiveness Collaborators
- Coronavirus and Other
Respiratory Viruses Division, National Center for Immunization and Respiratory
Diseases, CDC; Vanderbilt University Medical Center, Nashville,
Tennessee; Westat,
Rockville, Maryland; Division of Infectious Diseases and Clinical Epidemiology,
Intermountain Healthcare, Salt Lake City, Utah; HealthPartners Institute,
Minneapolis, Minnesota; Kaiser Permanente Center for Health Research,
Portland, Oregon; Indiana University School of Medicine, Indianapolis,
Indiana; Regenstrief
Institute Center for Biomedical Informatics, Indianapolis, Indiana; University of Colorado
School of Medicine, Aurora, Colorado; Kaiser Permanente Vaccine Study Center, Kaiser
Permanente Northern California Division of Research, Oakland, California;
Department of
Biomedical Informatics, Columbia University Irving Medical Center, New York, New
York; New
York-Presbyterian Hospital, New York, New York; General Dynamics Information
Technology, Falls Church, Virginia; University of Michigan, Ann Arbor, Michigan;
Baylor Scott
& White Health, Texas; Baylor College of Medicine, Temple, Texas; Intermountain Medical
Center, Murray, Utah; University of Utah, Salt Lake City, Utah; University of Iowa, Iowa
City, Iowa; Wake
Forest School of Medicine, Winston-Salem, North Carolina; Johns Hopkins University School of
Medicine, Baltimore, Maryland; Hennepin County Medical Center, Minneapolis,
Minnesota; Montefiore
Medical Center, Albert Einstein College of Medicine, New York, New York; University of Washington,
Seattle, Washington; Baystate Medical Center, Springfield, Massachusetts;
Oregon Health
& Science University, Portland, Oregon; Emory University, Atlanta, Georgia; Cleveland Clinic,
Cleveland, Ohio; Stanford University School of Medicine, Stanford,
California; Ronald
Reagan UCLA Medical Center, Los Angeles, California; University of Miami, Miami, Florida;
Washington
University in St. Louis, St. Louis, Missouri; The Ohio State University, Columbus,
Ohio; Texas A&M
University College of Medicine, Dallas, Texas; Henry Ford Health, Detroit,
Michigan; Yale
University School of Medicine, New Haven, Connecticut; University of Arizona, Tucson,
Arizona; Influenza
Division, National Center for Immunization and Respiratory Diseases, CDC
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32
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Skowronski DM, Zhan Y, Kaweski SE, Sabaiduc S, Khalid A, Olsha R, Carazo S, Dickinson JA, Mather RG, Charest H, Jassem AN, Levade I, Hasso M, Zelyas N, Gao R, Bastien N. 2023/24 mid-season influenza and Omicron XBB.1.5 vaccine effectiveness estimates from the Canadian Sentinel Practitioner Surveillance Network (SPSN). Euro Surveill 2024; 29:2400076. [PMID: 38362622 PMCID: PMC10986657 DOI: 10.2807/1560-7917.es.2024.29.7.2400076] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2024] [Accepted: 02/14/2024] [Indexed: 02/17/2024] Open
Abstract
The Canadian Sentinel Practitioner Surveillance Network reports mid-season 2023/24 influenza vaccine effectiveness (VE) of 63% (95% CI: 51-72) against influenza A(H1N1)pdm09, lower for clade 5a.2a.1 (56%; 95% CI: 33-71) than clade 5a.2a (67%; 95% CI: 48-80), and lowest against influenza A(H3N2) (40%; 95% CI: 5-61). The Omicron XBB.1.5 vaccine protected comparably well, with VE of 47% (95% CI: 21-65) against medically attended COVID-19, higher among people reporting a prior confirmed SARS-CoV-2 infection at 67% (95% CI: 28-85).
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Affiliation(s)
- Danuta M Skowronski
- British Columbia Centre for Disease Control, Vancouver, Canada
- University of British Columbia, Vancouver, Canada
| | - Yuping Zhan
- British Columbia Centre for Disease Control, Vancouver, Canada
| | | | - Suzana Sabaiduc
- British Columbia Centre for Disease Control, Vancouver, Canada
| | - Ayisha Khalid
- British Columbia Centre for Disease Control, Vancouver, Canada
| | | | - Sara Carazo
- Institut National de Santé Publique du Québec, Québec, Canada
| | | | - Richard G Mather
- Public Health Ontario, Toronto, Canada
- Queen's University, Kingston, Canada
| | - Hugues Charest
- Institut National de Santé Publique du Québec, Québec, Canada
| | - Agatha N Jassem
- British Columbia Centre for Disease Control, Vancouver, Canada
| | - Inès Levade
- Institut National de Santé Publique du Québec, Québec, Canada
| | | | - Nathan Zelyas
- Public Health Laboratory, Alberta Precision Laboratories, Edmonton, Canada
| | - Ruimin Gao
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Canada
| | - Nathalie Bastien
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Canada
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33
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Harrison C, Butfield R, Yarnoff B, Yang J. Modeling the potential public health and economic impact of different COVID-19 booster dose vaccination strategies with an adapted vaccine in the United Kingdom. Expert Rev Vaccines 2024; 23:730-739. [PMID: 39072472 DOI: 10.1080/14760584.2024.2383343] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2024] [Revised: 07/15/2024] [Accepted: 07/18/2024] [Indexed: 07/30/2024]
Abstract
BACKGROUND Updating vaccines is essential for combatting emerging coronavirus disease 2019 (COVID-19) variants. This study assessed the public health and economic impact of a booster dose of an adapted vaccine in the United Kingdom (UK). METHODS A Markov-decision tree model estimated the outcomes of vaccination strategies targeting various age and risk groups in the UK. Age-specific data derived from published sources were used. The model estimated case numbers, deaths, hospitalizations, medical costs, and societal costs. Scenario analyses were conducted to explore uncertainty. RESULTS Vaccination targeting individuals aged ≥ 65 years and the high-risk population aged 12-64 years was estimated to avert 701,549 symptomatic cases, 5,599 deaths, 18,086 hospitalizations, 56,326 post-COVID condition cases, and 38,263 lost quality-adjusted life years (QALYs), translating into direct and societal cost savings of £112,174,054 and £542,758,682, respectively. The estimated economically justifiable price at willingness-to-pay thresholds of £20,000 and £30,000 per QALY was £43 and £61, respectively, from the payer perspective and £64 and £82, respectively, from the societal perspective. Expanding to additional age groups improved the public health impact. CONCLUSIONS Targeting individuals aged ≥ 65 years and those aged 12-64 years at high risk yields public health gains, but expansion to additional age groups provides additional gains.
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Affiliation(s)
| | | | - Ben Yarnoff
- Modelling and Simulatio, Evidera Inc, Bethseda, MD, USA
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