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Sumsuzzman DM, Ye Y, Wang Z, Pandey A, Langley JM, Galvani AP, Moghadas SM. Impact of disease severity, age, sex, comorbidity, and vaccination on secondary attack rates of SARS-CoV-2: a global systematic review and meta-analysis. BMC Infect Dis 2025; 25:215. [PMID: 39948450 PMCID: PMC11827239 DOI: 10.1186/s12879-025-10610-5] [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: 11/22/2024] [Accepted: 02/06/2025] [Indexed: 02/16/2025] Open
Abstract
BACKGROUND Understanding the key drivers of SARS-CoV-2 transmission is essential for shaping effective public health strategies. However, transmission risk is subject to substantial heterogeneity related to disease severity, age, sex, comorbidities, and vaccination status in different population settings and regions. We aimed to quantify the impact of these factors on secondary attack rates (SARs) of SARS-CoV-2 across diverse population settings and regions, and identify key determinants of transmission to inform targeted interventions for improving global pandemic response. METHODS To retrieve relevant literature covering the duration of the COVID-19 pandemic, we searched Ovid MEDLINE, Ovid Embase, Web of Science, and the Cochrane COVID-19 Study Register between January 1, 2020 and January 18, 2024 to identify studies estimating SARs of SARS-CoV-2, defined as the proportion of close contacts infected. We pooled SAR estimates using a random-effects model with the Freeman-Tukey double arcsine transformation and derived Clopper-Pearson 95% confidence intervals (CIs). Risk of bias was assessed using a modified Newcastle-Ottawa scale. This study was registered with PROSPERO, CRD42024503782. RESULTS A total of 159 eligible studies, involving over 19 million close contacts and 6.8 million cases from 41 countries across five continents, were included in the analysis. SARs increased with disease severity in index cases, ranging from 0.10 (95% CI: 0.06-0.14; I2 = 99.65%) in asymptomatic infection to 0.15 (95% CI: 0.09-0.21; I2 = 92.49%) in those with severe or critical conditions. SARs by age were lowest at 0.20 (95% CI: 0.16-0.23; I2 = 99.44%) for close contacts under 18 years and highest at 0.29 (95% CI: 0.24-0.34; I2 = 99.65%) for index cases aged 65 years or older. Among both index cases and close contacts, pooled SAR estimates were highest for Omicron and lowest for Delta, and declined with increasing vaccine doses. Regionally, North America had the highest SAR at 0.27 (95% CI: 0.24-0.30; I2 = 99.31%), significantly surpassing SARs in Europe (0.19; 95% CI: 0.15-0.25; I2 = 99.99%), Southeast Asia (0.18; 95% CI: 0.13-0.24; I2 = 99.24%), and the Western Pacific (0.11; 95% CI: 0.08-0.15; I2 = 99.95%). Among close contacts with comorbidities, chronic lung disease and hypertension were associated with the highest SARs. No significant association was found between SARs and the sex of either index cases or close contacts. CONCLUSIONS Secondary attack rates varied substantially by demographic and regional characteristics of the studied populations. Our findings demonstrate the role of booster vaccinations in curbing transmission, underscoring the importance of maintaining population immunity as variants of SARS-CoV-2 continue to emerge. Effective pandemic responses should prioritise tailored interventions that consider population demographics and social dynamics across different regions.
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Affiliation(s)
- Dewan Md Sumsuzzman
- Agent-Based Modelling Laboratory, York University, Toronto, ON, M3J 1P3, Canada
| | - Yang Ye
- Center for Infectious Disease Modeling and Analysis, Yale School of Public Health, New Haven, CT, 06520, USA
| | - Zhen Wang
- Agent-Based Modelling Laboratory, York University, Toronto, ON, M3J 1P3, Canada
- Center for Infectious Disease Modeling and Analysis, Yale School of Public Health, New Haven, CT, 06520, USA
| | - Abhishek Pandey
- Center for Infectious Disease Modeling and Analysis, Yale School of Public Health, New Haven, CT, 06520, USA
| | - Joanne M Langley
- Canadian Center for Vaccinology, IWK Health Centre and Nova Scotia Health Authority, Dalhousie University, Halifax, NS, Canada
| | - Alison P Galvani
- Center for Infectious Disease Modeling and Analysis, Yale School of Public Health, New Haven, CT, 06520, USA
| | - Seyed M Moghadas
- Agent-Based Modelling Laboratory, York University, Toronto, ON, M3J 1P3, Canada.
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Kwon E, Blank G, Starkey S, Chapman C, Lategan C, Shulha H, Kitchin V, Silverberg S, Sauvé L, Sadarangani M. Child Transmission of SARS-CoV-2 Throughout the Pandemic: An Updated Systematic Review and Meta-Analysis. Pediatr Infect Dis J 2025:00006454-990000000-01201. [PMID: 39889734 DOI: 10.1097/inf.0000000000004733] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2025]
Abstract
BACKGROUND This systematic review sought to characterize child-to-child and child-to-adult transmission of severe acute respiratory coronavirus 2 (SARS-CoV-2). METHODS A systematic review was conducted from April 1, 2021, to December 15, 2023, to estimate secondary attack rates (SARs) and secondary infections per index case (case rate) from index cases up to age 20 years. SAR and case rate were analyzed based on age, setting, country and variant prevalence. Meta-analysis was conducted on the SAR data. RESULTS Eighty-six studies were included, representing 33,674 index cases. The total pooled SAR was 0.11 (95% CI: 0.07-0.16); 0.05 (95% CI: 0.03-0.10) for child-to-child transmission and 0.15 (95% CI: 0.07-0.30) for child-to-adult transmission. Pooled SAR in households was 0.28 (95% CI: 0.24-0.34) and was 0.02 (95% CI: 0.01-0.04) in schools. CONCLUSIONS The role of children in SARS-CoV-2 transmission is small, particularly in schools. This work can help inform policies that effectively reduce transmission while minimizing adverse effects on children.
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Affiliation(s)
- Eugene Kwon
- From the Department of Pediatrics, BC Children's Hospital, Vancouver, British Colombia, Canada
| | - Gabriel Blank
- From the Department of Pediatrics, BC Children's Hospital, Vancouver, British Colombia, Canada
- University of British Columbia Library, Vancouver, British Colombia, Canada
| | - Samantha Starkey
- Department of Pediatrics, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Cassidy Chapman
- University of British Columbia Library, Vancouver, British Colombia, Canada
| | - Conné Lategan
- Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Hennady Shulha
- From the Department of Pediatrics, BC Children's Hospital, Vancouver, British Colombia, Canada
- University of British Columbia Library, Vancouver, British Colombia, Canada
| | - Vanessa Kitchin
- Vaccine Evaluation Center, BC Children's Hospital Research Institute, Vancouver, British Colombia, Canada
| | - Sarah Silverberg
- Nemours Children's Hospital - Delaware, Wilmington, Delaware, United States of America
| | - Laura Sauvé
- From the Department of Pediatrics, BC Children's Hospital, Vancouver, British Colombia, Canada
- University of British Columbia Library, Vancouver, British Colombia, Canada
| | - Manish Sadarangani
- From the Department of Pediatrics, BC Children's Hospital, Vancouver, British Colombia, Canada
- University of British Columbia Library, Vancouver, British Colombia, Canada
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Djuric O, Larosa E, Cassinadri M, Cilloni S, Bisaccia E, Pepe D, Bonvicini L, Vicentini M, Venturelli F, Giorgi Rossi P, Pezzotti P, Mateo Urdiales A, Bedeschi E, The Reggio Emilia Covid-19 Working Group. Effect of an enhanced public health contact tracing intervention on the secondary transmission of SARS-CoV-2 in educational settings: The four-way decomposition analysis. eLife 2024; 13:e85802. [PMID: 38416129 PMCID: PMC10901504 DOI: 10.7554/elife.85802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Accepted: 02/12/2024] [Indexed: 02/29/2024] Open
Abstract
Background The aim of our study was to test the hypothesis that the community contact tracing strategy of testing contacts in households immediately instead of at the end of quarantine had an impact on the transmission of SARS-CoV-2 in schools in Reggio Emilia Province. Methods We analysed surveillance data on notification of COVID-19 cases in schools between 1 September 2020 and 4 April 2021. We have applied a mediation analysis that allows for interaction between the intervention (before/after period) and the mediator. Results Median tracing delay decreased from 7 to 3.1 days and the percentage of the known infection source increased from 34-54.8% (incident rate ratio-IRR 1.61 1.40-1.86). Implementation of prompt contact tracing was associated with a 10% decrease in the number of secondary cases (excess relative risk -0.1 95% CI -0.35-0.15). Knowing the source of infection of the index case led to a decrease in secondary transmission (IRR 0.75 95% CI 0.63-0.91) while the decrease in tracing delay was associated with decreased risk of secondary cases (1/IRR 0.97 95% CI 0.94-1.01 per one day of delay). The direct effect of the intervention accounted for the 29% decrease in the number of secondary cases (excess relative risk -0.29 95%-0.61 to 0.03). Conclusions Prompt contact testing in the community reduces the time of contact tracing and increases the ability to identify the source of infection in school outbreaks. Although there are strong reasons for thinking it is a causal link, observed differences can be also due to differences in the force of infection and to other control measures put in place. Funding This project was carried out with the technical and financial support of the Italian Ministry of Health - CCM 2020 and Ricerca Corrente Annual Program 2023.
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Affiliation(s)
- Olivera Djuric
- Epidemiology Unit, Azienda Unità Sanitaria Locale – IRCCS di Reggio EmiliaReggio EmiliaItaly
- Centre for Environmental, Nutritional and Genetic Epidemiology (CREAGEN), University of Modena and Reggio EmiliaModenaItaly
| | - Elisabetta Larosa
- Public Health Unit, Azienda Unità Sanitaria Locale-IRCCS di Reggio EmiliaReggio EmiliaItaly
| | - Mariateresa Cassinadri
- Public Health Unit, Azienda Unità Sanitaria Locale-IRCCS di Reggio EmiliaReggio EmiliaItaly
| | - Silvia Cilloni
- Public Health Unit, Azienda Unità Sanitaria Locale-IRCCS di Reggio EmiliaReggio EmiliaItaly
| | - Eufemia Bisaccia
- Public Health Unit, Azienda Unità Sanitaria Locale-IRCCS di Reggio EmiliaReggio EmiliaItaly
| | - Davide Pepe
- Public Health Unit, Azienda Unità Sanitaria Locale-IRCCS di Reggio EmiliaReggio EmiliaItaly
| | - Laura Bonvicini
- Epidemiology Unit, Azienda Unità Sanitaria Locale – IRCCS di Reggio EmiliaReggio EmiliaItaly
| | - Massimo Vicentini
- Epidemiology Unit, Azienda Unità Sanitaria Locale – IRCCS di Reggio EmiliaReggio EmiliaItaly
| | - Francesco Venturelli
- Epidemiology Unit, Azienda Unità Sanitaria Locale – IRCCS di Reggio EmiliaReggio EmiliaItaly
| | - Paolo Giorgi Rossi
- Epidemiology Unit, Azienda Unità Sanitaria Locale – IRCCS di Reggio EmiliaReggio EmiliaItaly
| | - Patrizio Pezzotti
- Department of Infectious Diseases, Istituto Superiore di SanitàRomeItaly
| | | | - Emanuela Bedeschi
- Public Health Unit, Azienda Unità Sanitaria Locale-IRCCS di Reggio EmiliaReggio EmiliaItaly
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Paduano S, Facchini MC, Borsari L, D’Alterio A, Iacuzio L, Greco A, Fioretti E, Creola G, Kahfian Z, Zona S, Bargellini A, Filippini T. Health surveillance for SARS-CoV-2: infection spread and vaccination coverage in the schools of Modena province, Italy. Front Public Health 2023; 11:1240315. [PMID: 37965518 PMCID: PMC10641794 DOI: 10.3389/fpubh.2023.1240315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 10/09/2023] [Indexed: 11/16/2023] Open
Abstract
Introduction In Italy, over 4.8 million individuals aged 0-19 years have been infected with SARS-CoV-2. This study aims to evaluate the spread of SARS-CoV-2 within schools in Modena province and the influence of anti-SARS-CoV-2 vaccination coverage. Methods We performed a survey in the period 1 September-15 December 2021, involving student population aged 0-19 years and related teachers screened for SARS-CoV-2 infection using nasopharyngeal swab after the detection of an index case within their class. During the study period, vaccination against SARS-CoV-2 was actively offered to all subjects aged ≥12 years. Results A total of 13,934 subjects were tested, 12,534 students and 1,400 teachers (594 classes). We identified a total of 594 and 779 index and secondary cases, respectively. We found that 9.8% of students and 10.6% of teachers were positive for SARS-CoV-2. Overall at the test time, 32.5% were vaccinated with at least one dose of anti-SARS-CoV-2 vaccine. Among secondary cases, 7.8% were vaccinated compared to 34.9% among negative tested subjects. A higher secondary attack rate was for non-vaccinated subjects rather than vaccinated ones (8.1% vs. 1.4%). Higher secondary attack rates were reported for subjects attending infant and primary school (5.9 and 9.6%, respectively). Lower secondary attack rates were for those who attended middle school (4.9%) and especially high school (1.7%). Conclusion Our results highlight the differential spread of the infection within various educational settings and that the vaccination, available in the study period for the population aged ≥12, have mitigated SARS-CoV-2 spread in high and middle schools.
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Affiliation(s)
- Stefania Paduano
- Department of Biomedical, Metabolic and Neural Sciences – Section of Public Health, University of Modena and Reggio Emilia, Modena, Italy
| | - Maria Chiara Facchini
- Department of Biomedical, Metabolic and Neural Sciences – Section of Public Health, University of Modena and Reggio Emilia, Modena, Italy
| | - Lucia Borsari
- Department of Public Health – Public Hygiene Service, Local Health Authority of Modena, Modena, Italy
| | - Alessandra D’Alterio
- Department of Biomedical, Metabolic and Neural Sciences – Section of Public Health, University of Modena and Reggio Emilia, Modena, Italy
| | - Laura Iacuzio
- Department of Public Health – Public Hygiene Service, Local Health Authority of Modena, Modena, Italy
| | - Antonella Greco
- Department of Public Health – Public Hygiene Service, Local Health Authority of Modena, Modena, Italy
| | - Elisabetta Fioretti
- Department of Public Health – Public Hygiene Service, Local Health Authority of Modena, Modena, Italy
| | - Giacomo Creola
- Department of Public Health – Public Hygiene Service, Local Health Authority of Modena, Modena, Italy
| | - Zaynalabedin Kahfian
- Department of Public Health – Public Hygiene Service, Local Health Authority of Modena, Modena, Italy
| | - Stefano Zona
- Infection Control Strategic Group, Local Health Authority of Modena, Modena, Italy
| | - Annalisa Bargellini
- Department of Biomedical, Metabolic and Neural Sciences – Section of Public Health, University of Modena and Reggio Emilia, Modena, Italy
| | - Tommaso Filippini
- Department of Biomedical, Metabolic and Neural Sciences – Section of Public Health, University of Modena and Reggio Emilia, Modena, Italy
- School of Public Health, University of California, Berkeley, Berkeley, CA, United States
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Molina Grané C, Mancuso P, Vicentini M, Venturelli F, Djuric O, Manica M, Guzzetta G, Marziano V, Zardini A, d'Andrea V, Trentini F, Bisaccia E, Larosa E, Cilloni S, Cassinadri MT, Pezzotti P, Ajelli M, Rossi PG, Merler S, Poletti P. SARS-CoV-2 transmission patterns in educational settings during the Alpha wave in Reggio-Emilia, Italy. Epidemics 2023; 44:100712. [PMID: 37567090 DOI: 10.1016/j.epidem.2023.100712] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 07/17/2023] [Accepted: 07/31/2023] [Indexed: 08/13/2023] Open
Abstract
Different monitoring and control policies have been implemented in schools to minimize the spread of SARS-CoV-2. Transmission in schools has been hard to quantify due to the large proportion of asymptomatic carriers in young individuals. We applied a Bayesian approach to reconstruct the transmission chains between 284 SARS-CoV-2 infections ascertained during 87 school outbreak investigations conducted between March and April 2021 in Italy. Under the policy of reactive quarantines, we found that 42.5% (95%CrI: 29.5-54.3%) of infections among school attendees were caused by school contacts. The mean number of secondary cases infected at school by a positive individual during in-person education was estimated to be 0.33 (95%CrI: 0.23-0.43), with marked heterogeneity across individuals. Specifically, we estimated that only 26.0% (95%CrI: 17.6-34.1%) of students and school personnel who tested positive during in-person education caused at least one secondary infection at school. Positive individuals who attended school for at least 6 days before being isolated or quarantined infected on average 0.49 (95%CrI: 0.14-0.83) secondary cases. Our findings provide quantitative insights on the contribution of school transmission to the spread of SARS-CoV-2 in young individuals. Identifying positive cases within 5 days after exposure to their infector could reduce onward transmission at school by at least 30%.
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Affiliation(s)
- Carla Molina Grané
- Center for Health Emergencies, Bruno Kessler Foundation, Trento, Italy; Department of Mathematics, University of Trento, Trento, Italy
| | - Pamela Mancuso
- Epidemiology Unit, Azienda Unità Sanitaria Locale - IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Massimo Vicentini
- Epidemiology Unit, Azienda Unità Sanitaria Locale - IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Francesco Venturelli
- Epidemiology Unit, Azienda Unità Sanitaria Locale - IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Olivera Djuric
- Epidemiology Unit, Azienda Unità Sanitaria Locale - IRCCS di Reggio Emilia, Reggio Emilia, Italy; Department of Biomedical, Metabolic and Neural Sciences, Centre for Environmental, Nutritional and Genetic Epidemiology (CREAGEN), Public Health Unit, University of Modena and Reggio Emilia, Reggio Emilia, Italy
| | - Mattia Manica
- Center for Health Emergencies, Bruno Kessler Foundation, Trento, Italy
| | - Giorgio Guzzetta
- Center for Health Emergencies, Bruno Kessler Foundation, Trento, Italy
| | | | - Agnese Zardini
- Center for Health Emergencies, Bruno Kessler Foundation, Trento, Italy
| | - Valeria d'Andrea
- Center for Health Emergencies, Bruno Kessler Foundation, Trento, Italy
| | - Filippo Trentini
- Center for Health Emergencies, Bruno Kessler Foundation, Trento, Italy; Dondena Centre for Research on Social Dynamics and Public Policy, Bocconi University, Milan, Italy
| | - Eufemia Bisaccia
- Public Health Unit, Azienda Unità Sanitaria Locale - IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Elisabetta Larosa
- Public Health Unit, Azienda Unità Sanitaria Locale - IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Silvia Cilloni
- Public Health Unit, Azienda Unità Sanitaria Locale - IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Maria Teresa Cassinadri
- Public Health Unit, Azienda Unità Sanitaria Locale - IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Patrizio Pezzotti
- Department of Infectious Diseases, Istituto Superiore di Sanità, Rome, Italy
| | - Marco Ajelli
- Laboratory for Computational Epidemiology and Public Health, Department of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, IN, USA
| | - Paolo Giorgi Rossi
- Epidemiology Unit, Azienda Unità Sanitaria Locale - IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Stefano Merler
- Center for Health Emergencies, Bruno Kessler Foundation, Trento, Italy
| | - Piero Poletti
- Center for Health Emergencies, Bruno Kessler Foundation, Trento, Italy.
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Estimation of the incubation period and generation time of SARS-CoV-2 Alpha and Delta variants from contact tracing data. Epidemiol Infect 2022; 151:e5. [PMID: 36524247 PMCID: PMC9837419 DOI: 10.1017/s0950268822001947] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Quantitative information on epidemiological quantities such as the incubation period and generation time of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants is scarce. We analysed a dataset collected during contact tracing activities in the province of Reggio Emilia, Italy, throughout 2021. We determined the distributions of the incubation period for the Alpha and Delta variants using information on negative polymerase chain reaction tests and the date of last exposure from 282 symptomatic cases. We estimated the distributions of the intrinsic generation time using a Bayesian inference approach applied to 9724 SARS-CoV-2 cases clustered in 3545 households where at least one secondary case was recorded. We estimated a mean incubation period of 4.9 days (95% credible intervals, CrI, 4.4-5.4) for Alpha and 4.5 days (95% CrI 4.0-5.0) for Delta. The intrinsic generation time was estimated to have a mean of 7.12 days (95% CrI 6.27-8.44) for Alpha and of 6.52 days (95% CrI 5.54-8.43) for Delta. The household serial interval was 2.43 days (95% CrI 2.29-2.58) for Alpha and 2.74 days (95% CrI 2.62-2.88) for Delta, and the estimated proportion of pre-symptomatic transmission was 48-51% for both variants. These results indicate limited differences in the incubation period and intrinsic generation time of SARS-CoV-2 variants Alpha and Delta compared to ancestral lineages.
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