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van Boven M, van Dorp CH, Westerhof I, Jaddoe V, Heuvelman V, Duijts L, Fourie E, Sluiter-Post J, van Houten MA, Badoux P, Euser S, Herpers B, Eggink D, de Hoog M, Boom T, Wildenbeest J, Bont L, Rozhnova G, Bonten MJ, Kretzschmar ME, Bruijning-Verhagen P. Estimation of introduction and transmission rates of SARS-CoV-2 in a prospective household study. PLoS Comput Biol 2024; 20:e1011832. [PMID: 38285727 PMCID: PMC10852262 DOI: 10.1371/journal.pcbi.1011832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 02/08/2024] [Accepted: 01/16/2024] [Indexed: 01/31/2024] Open
Abstract
Household studies provide an efficient means to study transmission of infectious diseases, enabling estimation of susceptibility and infectivity by person-type. A main inclusion criterion in such studies is usually the presence of an infected person. This precludes estimation of the hazards of pathogen introduction into the household. Here we estimate age- and time-dependent household introduction hazards together with within household transmission rates using data from a prospective household-based study in the Netherlands. A total of 307 households containing 1,209 persons were included from August 2020 until March 2021. Follow-up of households took place between August 2020 and August 2021 with maximal follow-up per household mostly limited to 161 days. Almost 1 out of 5 households (59/307) had evidence of an introduction of SARS-CoV-2. We estimate introduction hazards and within-household transmission rates in our study population with penalized splines and stochastic epidemic models, respectively. The estimated hazard of introduction of SARS-CoV-2 in the households was lower for children (0-12 years) than for adults (relative hazard: 0.62; 95%CrI: 0.34-1.0). Estimated introduction hazards peaked in mid October 2020, mid December 2020, and mid April 2021, preceding peaks in hospital admissions by 1-2 weeks. Best fitting transmission models included increased infectivity of children relative to adults and adolescents, such that the estimated child-to-child transmission probability (0.62; 95%CrI: 0.40-0.81) was considerably higher than the adult-to-adult transmission probability (0.12; 95%CrI: 0.057-0.19). Scenario analyses indicate that vaccination of adults can strongly reduce household infection attack rates and that adding adolescent vaccination offers limited added benefit.
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Affiliation(s)
- Michiel van Boven
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
- Center for Complex Systems Studies (CCSS), Utrecht University, Utrecht, The Netherlands
| | - Christiaan H. van Dorp
- Department of Pathology & Cell Biology, Columbia University Irving Medical Center, New York, United States of America
| | - Ilse Westerhof
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | | | | | | | | | | | | | - Paul Badoux
- Regional Public Health Laboratory Kennemerland, Haarlem, the Netherlands
| | - Sjoerd Euser
- Regional Public Health Laboratory Kennemerland, Haarlem, the Netherlands
| | - Bjorn Herpers
- Regional Public Health Laboratory Kennemerland, Haarlem, the Netherlands
| | - Dirk Eggink
- National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Marieke de Hoog
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Trisja Boom
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Joanne Wildenbeest
- Department of Paediatric Infectious Diseases and Immunology, Wilhelmina Children’s hospital, University Medical Center Utrecht, the Netherlands
| | - Louis Bont
- Department of Paediatric Infectious Diseases and Immunology, Wilhelmina Children’s hospital, University Medical Center Utrecht, the Netherlands
| | - Ganna Rozhnova
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
- Center for Complex Systems Studies (CCSS), Utrecht University, Utrecht, The Netherlands
- BioISI—Biosystems & Integrative Sciences Institute, Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal
| | - Marc J. Bonten
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Mirjam E. Kretzschmar
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
- Center for Complex Systems Studies (CCSS), Utrecht University, Utrecht, The Netherlands
| | - Patricia Bruijning-Verhagen
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
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Zhao S, Guo Z, Sun S, Hung CT, Leung EYM, Wei Y, Wang H, Li K, Yam CHK, Chow TY, Gao J, Jia KM, Chong KC, Yeoh EK. Effectiveness of BNT162b2 and Sinovac vaccines against the transmission of SARS-CoV-2 during Omicron-predominance in Hong Kong: A retrospective cohort study of COVID-19 cases. J Clin Virol 2023; 166:105547. [PMID: 37453162 DOI: 10.1016/j.jcv.2023.105547] [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: 02/07/2023] [Revised: 06/30/2023] [Accepted: 07/09/2023] [Indexed: 07/18/2023]
Abstract
BACKGROUND In 2022, SARS-CoV-2 Omicron variants circulated globally, generating concerns about increased transmissibility and immune escape. Hong Kong, having an infection-naive population with a moderate 2-dose vaccine coverage (63% by the end of 2021), experienced a COVID-19 epidemic largely seeded by Omicron BA.2 variants that led to the greatest outbreak in the region to date. Little remains known about the protection of commonly-administered vaccines against transmission of Omicron BA.2 variants. METHODS In this retrospective cohort study, we identified 17 535 laboratory-confirmed COVID-19 cases using contact tracing information during the Omicron-predominant period between January and June 2022 in Hong Kong. Demographic characteristics, time from positive test result to case reporting, isolation, or hospital admission, as well as contact tracing history and contact setting were extracted. Transmission pairs were reconstructed through suspected epidemiological links according to contact tracing history, and the number of secondary cases was determined for each index case as a measurement for risk of transmission. The effectiveness of mRNA vaccine (BNT162b2) and inactivated vaccine (Sinovac) against transmission of BA.2 variants was estimated using zero-inflated negative binomial regression models. RESULTS Vaccine effectiveness against transmission for patients who received the 2-dose BNT162b2 vaccine was estimated at 56.2% (95% CI: 14.5, 77.6), 30.6% (95% CI: 13.0, 44.6), and 21.3% (95% CI: 2.9, 36.2) on 15 - 90, 91 - 180, and 181 - 270 days after vaccination, respectively, showing a significant decrease over time. For 3-dose vaccines, vaccine effectiveness estimates were 41.0% (95% CI: 11.3, 60.7) and 41.9% (95% CI: 6.1, 64.0) on 15 - 180 days after booster doses of Sinovac and BNT162b2, respectively. Although significant vaccine effectiveness was detected in household settings, no evidence of such protective association was detected in non-household settings for either Sinovac or BNT162b2. CONCLUSION Moderate and significant protection against Omicron BA.2 variants' transmission was found for 2 and 3 doses of Sinovac or BNT162b2 vaccines. Although protection by 2-dose BNT162b2 may evidently wane with time, protection could be restored by the booster dose. Here, we highlight the importance of continuously evaluating vaccine effectiveness against transmission for emerging SARS-CoV-2 variants.
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Affiliation(s)
- Shi Zhao
- JC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China; CUHK Shenzhen Research Institute, Shenzhen, China; Centre for Health Systems and Policy Research, Chinese University of Hong Kong, Hong Kong, China
| | - Zihao Guo
- JC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China
| | - Shengzhi Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing 100069, China
| | - Chi Tim Hung
- JC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China
| | - Eman Yee Man Leung
- JC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China
| | - Yuchen Wei
- JC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China
| | - Huwen Wang
- JC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China
| | - Kehang Li
- JC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China
| | - Carrie Ho Kwan Yam
- JC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China
| | - Tsz Yu Chow
- JC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China
| | - Jian Gao
- JC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China
| | - Katherine Min Jia
- Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Ka Chun Chong
- JC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China; CUHK Shenzhen Research Institute, Shenzhen, China; Centre for Health Systems and Policy Research, Chinese University of Hong Kong, Hong Kong, China.
| | - Eng-Kiong Yeoh
- JC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China; Centre for Health Systems and Policy Research, Chinese University of Hong Kong, Hong Kong, China
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3
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van Boven M, van Dorp CH, Westerhof I, Jaddoe V, Heuvelman V, Duijts L, Fourie E, Sluiter-Post J, van Houten MA, Badoux P, Euser S, Herpers B, Eggink D, de Hoog M, Boom T, Wildenbeest J, Bont L, Rozhnov G, Bonten MJ, Kretzschmar ME, Bruijning-Verhagen P. Estimation of introduction and transmission rates of SARS-CoV-2 in a prospective household study. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.06.02.23290879. [PMID: 37333399 PMCID: PMC10275010 DOI: 10.1101/2023.06.02.23290879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
Household studies provide an efficient means to study transmission of infectious diseases, enabling estimation of individual susceptibility and infectivity. A main inclusion criterion in such studies is often the presence of an infected person. This precludes estimation of the hazards of pathogen introduction into the household. Here we use data from a prospective household-based study to estimate SARS-CoV-2 age- and time-dependent household introduction hazards together with within household transmission rates in the Netherlands from August 2020 to August 2021. Introduction hazards and within-household transmission rates are estimated with penalized splines and stochastic epidemic models, respectively. The estimated hazard of introduction of SARS-CoV-2 in the households was lower for children (0-12 years) than for adults (relative hazard: 0.62; 95%CrI: 0.34-1.0). Estimated introduction hazards peaked in mid October 2020, mid December 2020, and mid April 2021, preceding peaks in hospital admissions by 1-2 weeks. The best fitting transmission models include increased infectivity of children relative to adults and adolescents, such that the estimated child-to-child transmission probability (0.62; 95%CrI: 0.40-0.81) was considerably higher than the adult-to-adult transmission probability (0.12; 95%CrI: 0.057-0.19). Scenario analyses show that vaccination of adults could have strongly reduced infection attack rates in households and that adding adolescent vaccination would have offered limited added benefit.
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Affiliation(s)
- Michiel van Boven
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
- Center for Complex Systems Studies (CCSS), Utrecht University, Utrecht, The Netherlands
| | - Christiaan H van Dorp
- Department of Pathology & Cell Biology, Columbia University Irving Medical Center, New York, United States
| | - Ilse Westerhof
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | | | | | | | | | | | | | - Paul Badoux
- Regional Public Health Laboratory Kennemerland, Haarlem, the Netherlands
| | - Sjoerd Euser
- Regional Public Health Laboratory Kennemerland, Haarlem, the Netherlands
| | - Bjorn Herpers
- Regional Public Health Laboratory Kennemerland, Haarlem, the Netherlands
| | - Dirk Eggink
- National Institute for Public Health, and the Environment, Bilthoven, the Netherlands
| | - Marieke de Hoog
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Trisja Boom
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Joanne Wildenbeest
- Department of Paediatric Infectious Diseases and Immunology, Wilhelmina Children's hospital, University Medical Center Utrecht, the Netherlands
| | - Louis Bont
- Department of Paediatric Infectious Diseases and Immunology, Wilhelmina Children's hospital, University Medical Center Utrecht, the Netherlands
| | - Ganna Rozhnov
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
- Center for Complex Systems Studies (CCSS), Utrecht University, Utrecht, The Netherlands
- BioISI-Biosystems & Integrative Sciences Institute, Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal
| | - Marc J Bonten
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Mirjam E Kretzschmar
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
- Center for Complex Systems Studies (CCSS), Utrecht University, Utrecht, The Netherlands
| | - Patricia Bruijning-Verhagen
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
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Wang C, Huang X, Lau EHY, Cowling BJ, Tsang TK. Association Between Population-Level Factors and Household Secondary Attack Rate of SARS-CoV-2: A Systematic Review and Meta-analysis. Open Forum Infect Dis 2023; 10:ofac676. [PMID: 36655186 PMCID: PMC9835764 DOI: 10.1093/ofid/ofac676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 12/14/2022] [Indexed: 12/23/2022] Open
Abstract
Background Accurate estimation of household secondary attack rate (SAR) is crucial to understand the transmissibility of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The impact of population-level factors, such as transmission intensity in the community, on SAR estimates is rarely explored. Methods In this study, we included articles with original data to compute the household SAR. To determine the impact of transmission intensity in the community on household SAR estimates, we explored the association between SAR estimates and the incidence rate of cases by country during the study period. Results We identified 163 studies to extract data on SARs from 326 031 cases and 2 009 859 household contacts. The correlation between the incidence rate of cases during the study period and SAR estimates was 0.37 (95% CI, 0.24-0.49). We found that doubling the incidence rate of cases during the study period was associated with a 1.2% (95% CI, 0.5%-1.8%) higher household SAR. Conclusions Our findings suggest that the incidence rate of cases during the study period is associated with higher SAR. Ignoring this factor may overestimate SARs, especially for regions with high incidences, which further impacts control policies and epidemiological characterization of emerging variants.
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Affiliation(s)
- Can Wang
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Xiaotong Huang
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Eric H Y Lau
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
- Laboratory of Data Discovery for Health Limited, Hong Kong Science and Technology Park, New Territories, Hong Kong Special Administrative Region, China
| | - Benjamin J Cowling
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
- Laboratory of Data Discovery for Health Limited, Hong Kong Science and Technology Park, New Territories, Hong Kong Special Administrative Region, China
| | - Tim K Tsang
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
- Laboratory of Data Discovery for Health Limited, Hong Kong Science and Technology Park, New Territories, Hong Kong Special Administrative Region, China
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5
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Gazit S, Mizrahi B, Kalkstein N, Neuberger A, Peretz A, Mizrahi-Reuveni M, Ben-Tov A, Patalon T. BNT162b2 mRNA Vaccine Effectiveness Given Confirmed Exposure: Analysis of Household Members of Coronavirus Disease 2019 Patients. Clin Infect Dis 2022; 75:e734-e740. [PMID: 34849630 PMCID: PMC8767821 DOI: 10.1093/cid/ciab973] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2021] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Although BNT162b2 vaccine-efficacy analyses have been published, the effectiveness of the vaccine in preventing coronavirus disease 2019 given confirmed exposure has not been previously demonstrated, even though it has policy implications, such as the need for self-quarantine when exposure has occurred. METHODS In a retrospective cohort study, we used data collected between 20 December 2020 and 17 March 2021 from the second largest healthcare provider in Israel to analyze the probability of an additional household infection occurring within 10 days after an index infection. In model 1, vaccine effectiveness was described for Fully Vaccinated individuals (7 or more days from second dose) vs either Unvaccinated individuals or those Recently Vaccinated Once (0-7 days from the first dose, presumably still unprotected). Secondary analyses included correction for differing testing rates. In model 2, we conducted a separate analysis of households comprised of only adults with the same vaccination status. RESULTS A total of 173 569 households were included, of which 6351 had an index infection (mean [standard deviation] age, 58.9 [13.5] years); 50% were women. Adjusted vaccine effectiveness of Fully Vaccinated compared with Unvaccinated participants was 80.3% (95% confidence interval [CI], 73.5-85.4) and 82.0% (95% CI, 75.6-86.8) compared with those Recently Vaccinated Once. CONCLUSIONS The BNT162b2 vaccine is effective in high-risk real-life exposure scenarios, but the protection afforded in these settings is lower than that previously described. Individuals with a confirmed significant exposure to severe acute respiratory syndrome are still at risk of being infected even if fully vaccinated.
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Affiliation(s)
- Sivan Gazit
- Kahn Sagol Maccabi (KSM) Research & Innovation Center, Maccabi Healthcare Services, Tel Aviv, 68125, Israel
| | | | | | - Ami Neuberger
- Infectious Diseases Institute, Rambam Health Care Campus, Haifa
- The Ruth and Bruce Rappaport Faculty of Medicine, Technion Institute of Technology, Haifa, Israel
| | - Asaf Peretz
- Kahn Sagol Maccabi (KSM) Research & Innovation Center, Maccabi Healthcare Services, Tel Aviv, 68125, Israel
- Internal Medicine COVID-19 Ward, Samson Assuta Ashdod University Hospital, Ashdod, Israel
| | | | - Amir Ben-Tov
- Kahn Sagol Maccabi (KSM) Research & Innovation Center, Maccabi Healthcare Services, Tel Aviv, 68125, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Tal Patalon
- Kahn Sagol Maccabi (KSM) Research & Innovation Center, Maccabi Healthcare Services, Tel Aviv, 68125, Israel
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Arnaldo P, Mabunda N, Young PW, Tran T, Sitoe N, Chelene I, Nhanombe A, Isamael N, Júnior A, Cubula B, Inlamea OF, Gudo E, Jani IV. Prevalence of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Antibodies in the Mozambican Population: A Cross-Sectional Serologic Study in 3 Cities, July-August 2020. Clin Infect Dis 2022; 75:S285-S293. [PMID: 35748663 PMCID: PMC9278262 DOI: 10.1093/cid/ciac516] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND The extent of population exposure to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was uncertain in many African countries during the onset of the pandemic. METHODS We conducted a cross-sectional study and randomly selected and surveyed general population and occupational groups from 6 July to 24 August 2020, in 3 cities in Mozambique. Anti-SARS-CoV-2-specific immunoglobulin M (IgM) and immunoglobulin G (IgG) antibodies were measured using a point-of-care rapid test. The prevalence was weighted for population (by age, sex, and city) and adjusted for test sensitivity and specificity. RESULTS A total of 21 183 participants, including 11 143 from the general population and 10 040 from occupational groups, were included across all 3 cities. General population seropositivity (IgM or IgG) prevalence was 3.0% (95% confidence interval [CI], 1.0%-6.6%) in Pemba, 2.1% (95% CI, 1.2%-3.3%) in Maputo City, and 0.9% (95% CI, .1%-1.9%) in Quelimane. The prevalence in occupational groups ranged from 2.8% (95% CI, 1.3%-5.2%) to 5.9% (95% CI, 4.3%-8.0%) in Pemba, 0.3% (95% CI, .0%-2.2%) to 4.0% (95% CI, 2.6%-5.7%) in Maputo City, and 0.0% (95% CI, .0%-.7%) to 6.6% (95% CI, 3.8%-10.5%) in Quelimane, and showed variations between the groups tested. CONCLUSIONS In the first representative COVID-19 serosurveys in Mozambique, in mid-2020, weighted and assay-adjusted seroprevalence in 3 provincial capitals of anti-SARS-CoV-2 ranged from 0.9% to 3.0%, whereas adjusted prevalence in occupational groups ranged from 0.0% to 6.6% with variation between groups. Exposure to SARS-CoV-2 was extensive during the first pandemic wave, and transmission may have been more intense among occupational groups. These data have been of utmost importance to inform public health intervention to control and respond to the pandemic in Mozambique.
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Affiliation(s)
- Paulo Arnaldo
- Corresponding author contact information Paulo Arnaldo INSTITUTO NACIONAL DE SAÚDE (INS) EN1, Bairro da Vila - Parcela n°3943 Distrito de Marracuene Província de Maputo-Moçambique E-mail:
| | - Nédio Mabunda
- Departamento de Regulação e Promoção da Investigação em Saúde, Instituto Nacional de Saúde, Maputo, Mozambique
| | - Peter Wesley Young
- Division of Global HIV & Tuberculosis, U.S. Centers for Disease Control and Prevention (CDC), Maputo, Mozambique
| | - Tiffany Tran
- Division of Global HIV & Tuberculosis, U.S. Centers for Disease Control and Prevention (CDC), Maputo, Mozambique
| | - Nádia Sitoe
- Departamento de Plataformas Tecnológicas, Instituto Nacional de Saúde, Maputo, Mozambique
| | - Imelda Chelene
- Departamento de Plataformas Tecnológicas, Instituto Nacional de Saúde, Maputo, Mozambique
| | | | - Nália Isamael
- Departamento de Plataformas Tecnológicas, Instituto Nacional de Saúde, Maputo, Mozambique
| | - António Júnior
- Departamento de Gestão e Coordenação da Investigação em Saúde, Instituto Nacional de Saúde, Maputo, Mozambique
| | - Basílio Cubula
- Departamento de Métodos, Instituto Nacional de Estatística, Maputo, Mozambique
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7
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Prunas O, Warren JL, Crawford FW, Gazit S, Patalon T, Weinberger DM, Pitzer VE. Vaccination with BNT162b2 reduces transmission of SARS-CoV-2 to household contacts in Israel. Science 2022; 375:1151-1154. [PMID: 35084937 PMCID: PMC9261115 DOI: 10.1126/science.abl4292] [Citation(s) in RCA: 88] [Impact Index Per Article: 44.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 01/21/2022] [Indexed: 12/17/2022]
Abstract
The effectiveness of vaccines against COVID-19 on the individual level is well established. However, few studies have examined vaccine effectiveness against transmission. We used a chain binomial model to estimate the effectiveness of vaccination with BNT162b2 [Pfizer-BioNTech messenger RNA (mRNA)-based vaccine] against household transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Israel before and after emergence of the B.1.617.2 (Delta) variant. Vaccination reduced susceptibility to infection by 89.4% [95% confidence interval (CI): 88.7 to 90.0%], whereas vaccine effectiveness against infectiousness given infection was 23.0% (95% CI: -11.3 to 46.7%) during days 10 to 90 after the second dose, before 1 June 2021. Total vaccine effectiveness was 91.8% (95% CI: 88.1 to 94.3%). However, vaccine effectiveness is reduced over time as a result of the combined effect of waning of immunity and emergence of the Delta variant.
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Affiliation(s)
- Ottavia Prunas
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, Yale University, New Haven, CT, USA
- Public Health Modeling Unit, Yale School of Public Health, Yale University, New Haven, CT, USA
| | - Joshua L. Warren
- Public Health Modeling Unit, Yale School of Public Health, Yale University, New Haven, CT, USA
- Department of Biostatistics, Yale School of Public Health, Yale University, New Haven, CT, USA
| | - Forrest W. Crawford
- Public Health Modeling Unit, Yale School of Public Health, Yale University, New Haven, CT, USA
- Department of Biostatistics, Yale School of Public Health, Yale University, New Haven, CT, USA
- Department of Statistics and Data Science, Yale School of Public Health, Yale University, New Haven, CT, USA
- Department of Ecology and Evolutionary Biology, Yale School of Public Health, Yale University, New Haven, CT, USA
- Yale School of Management, Yale University, New Haven, CT, USA
| | - Sivan Gazit
- Maccabi Institute for Research and Innovation, Maccabi Healthcare Services, Tel Aviv, Israel
| | - Tal Patalon
- Maccabi Institute for Research and Innovation, Maccabi Healthcare Services, Tel Aviv, Israel
| | - Daniel M. Weinberger
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, Yale University, New Haven, CT, USA
- Public Health Modeling Unit, Yale School of Public Health, Yale University, New Haven, CT, USA
| | - Virginia E. Pitzer
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, Yale University, New Haven, CT, USA
- Public Health Modeling Unit, Yale School of Public Health, Yale University, New Haven, CT, USA
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8
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Andrade EHP, Bastos CV, Silva AVD, Moreira SM, Costa TGDA, Salvato LA, Colombo SA, Oliveira CSFD, Soares DFDM, Keller KM, Azevedo MID. Household outbreak of sporotrichosis: towards the One Health approach. Rev Soc Bras Med Trop 2022; 55:e0021. [PMID: 35674554 PMCID: PMC9176722 DOI: 10.1590/0037-8682-0021-2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 03/25/2022] [Indexed: 11/22/2022] Open
Abstract
Although sporotrichosis requires a broad approach for control, few reports have described the relationship between the index case and secondary contacts. In the present work, we report an outbreak involving a woman, a dog, and two cats from the same household environment, including the clinical and epidemiological aspects and outcomes, and discuss the importance of a One Health approach to face this neglected disease. The joint efforts of professionals such as veterinarians and physicians are essential for early diagnosis and surveillance, which contributes to the rapid identification and control of zoonotic sporotrichosis outbreaks.
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Datta A, Winkelstein P, Sen S. An agent-based model of spread of a pandemic with validation using COVID-19 data from New York State. PHYSICA A 2022; 585:126401. [PMID: 34511711 PMCID: PMC8423815 DOI: 10.1016/j.physa.2021.126401] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/03/2021] [Revised: 08/12/2021] [Indexed: 06/13/2023]
Abstract
We introduce a novel agent based model where each agent carries an effective viral load that captures the instantaneous state of infection of the agent. We simulate the spread of a pandemic and subsequently validate it by using publicly available COVID-19 data. Our simulation tracks the temporal evolution of a virtual city or community of agents in terms of contracting infection, recovering asymptomatically, or getting hospitalized. The virtual community is divided into family groups with 2-6 individuals in each group. Agents interact with other agents in virtual public places like at grocery stores, on public transportation and in offices. We initially seed the virtual community with a very small number of infected individuals and then monitor the disease spread and hospitalization over a period of fifty days, which is a reasonable time-frame for the initial spread of a pandemic. An uninfected or asymptomatic agent is randomly selected from a random family group in each simulation step for visiting a random public space. Subsequently, an uninfected agent contracts infection if the public place is occupied by other infected agents. We have calibrated our simulation rounds according to the size of the population of the virtual community for simulating realistic exposure of agents to a contagion. Our simulation results are consistent with the publicly available hospitalization and ICU patient data from three distinct regions of varying sizes in New York state. Our model can predict the trend in epidemic spread and hospitalization from a set of simple parameters and could be potentially useful in predicting the disease evolution based on available data and observations about public behavior. Our simulations suggest that relaxing the social distancing measures may increase the hospitalization numbers by some 30% or more.
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Affiliation(s)
- Amitava Datta
- Department of Computer Science and Software Engineering, The University of Western Australia, 35 Stirling Highway, Perth, WA 6009, Australia
| | - Peter Winkelstein
- Institute for Healthcare Informatics, Jacobs School of Medicine, University at Buffalo - The State University of New York, Buffalo, NY, 14203, USA
| | - Surajit Sen
- Department of Physics, University at Buffalo - The State University of New York, Buffalo, NY, 14260-1500, USA
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10
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Gothankar J, Narula AS, Patil K, Deshmukh R, Patil J, Doke P, Karanjkar A. Symptomatic survey of COVID-19 in the rural health and demographic surveillance site of Maharashtra, India. Ann Afr Med 2022; 21:180-184. [PMID: 36204900 PMCID: PMC9671193 DOI: 10.4103/aam.aam_98_20] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Introduction: The COVID-19 epidemic is fast-evolving and restrictions to contain it changes quickly. The secondary attack rate (SAR) indicates the infectiousness at the household level, and it provides a clue of load of infections in the community. Rapid implementation of a large scale, but brief survey provides a nationally representative view of the pandemic's progression and impact as well as the effect of the measures taken to control the spread. Materials and Methods: This cross-sectional study was done for a period of 2 months July–August 2020, in one of the rural health and demographic surveillance system (HDSS) site in India among 11,507 households having 46,571 individuals with the objective to determine the prevalence of the COVID-19 infection and to estimate the family SAR. The data were collected using the mobile phone by calling the head of the households registered under the HDSS. The research tool was created using questions based on the guidelines provided by the Ministry of Health and Family Welfare, India. The interviewers were first trained in data collection. Results: The households of 33,780 individuals were contacted and 33 patients were diagnosed as COVID positive, prevalence rate of 0.1% was thus documented through telephonic survey. The mean age of COVID patients was found to be 37 ± 16 years, and 63% of the diagnosed patients were males, majority of them belonged to above poverty line households. During the survey, 46 individuals reported to have the symptoms suggestive of COVID, fever and cough were the most commonly reported symptoms. The family SAR of 17.2% was documented. Conclusion: Thus to conclude a low COVID-19 prevalence rate of 0.1%, a higher family SAR of 17.2% was reported in the current study. Timely diagnosis and quarantine of close contacts should be continued to be implemented rigorously to prevent the spread of the COVID-19 virus. These efforts will be useful to contain the epidemic before it reaches an alarming level in the rural areas. Materials and Methods: This cross-sectional study was done for a period of 2 months July–August 2020, in one of the rural health and demographic surveillance system (HDSS) site in India among 11,507 households having 46,571 individuals with the objective to determine the prevalence of the COVID-19 infection and to estimate the family SAR. The data were collected using the mobile phone by calling the head of the households registered under the HDSS. The research tool was created using questions based on the guidelines provided by the Ministry of Health and Family Welfare, India. The interviewers were first trained in data collection.
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Prunas O, Warren JL, Crawford FW, Gazit S, Patalon T, Weinberger DM, Pitzer VE. Vaccination with BNT162b2 reduces transmission of SARS-CoV-2 to household contacts in Israel. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2021:2021.07.13.21260393. [PMID: 34981074 PMCID: PMC8722617 DOI: 10.1101/2021.07.13.21260393] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
The individual-level effectiveness of vaccines against clinical disease caused by SARS-CoV-2 is well-established. However, few studies have directly examined the effect of COVID-19 vaccines on transmission. We quantified the effectiveness of vaccination with BNT162b2 (Pfizer-BioNTech mRNA-based vaccine) against household transmission of SARS-CoV-2 in Israel. We fit two time-to-event models - a mechanistic transmission model and a regression model - to estimate vaccine effectiveness against susceptibility to infection and infectiousness given infection in household settings. Vaccine effectiveness against susceptibility to infection was 80-88%. For breakthrough infections among vaccinated individuals, the vaccine effectiveness against infectiousness was 41-79%. The overall vaccine effectiveness against transmission was 88.5%. Vaccination provides substantial protection against susceptibility to infection and slightly lower protection against infectiousness given infection, thereby reducing transmission of SARS-CoV-2 to household contacts. ONE-SENTENCE SUMMARY Vaccination reduced both the rate of infection with SARS-CoV-2 and transmission to household contacts in Israel.
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Affiliation(s)
- Ottavia Prunas
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, Yale University; New Haven, CT USA
- Public Health Modeling Unit, Yale School of Public Health, Yale University; New Haven, CT USA
| | - Joshua L. Warren
- Public Health Modeling Unit, Yale School of Public Health, Yale University; New Haven, CT USA
- Department of Biostatistics, Yale School of Public Health, Yale University; New Haven, CT USA
| | - Forrest W. Crawford
- Public Health Modeling Unit, Yale School of Public Health, Yale University; New Haven, CT USA
- Department of Biostatistics, Yale School of Public Health, Yale University; New Haven, CT USA
| | - Sivan Gazit
- Maccabi Institute for Research & Innovation, Maccabi Healthcare Services; Tel Aviv, Israel
| | - Tal Patalon
- Maccabi Institute for Research & Innovation, Maccabi Healthcare Services; Tel Aviv, Israel
| | - Daniel M. Weinberger
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, Yale University; New Haven, CT USA
- Public Health Modeling Unit, Yale School of Public Health, Yale University; New Haven, CT USA
| | - Virginia E. Pitzer
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, Yale University; New Haven, CT USA
- Public Health Modeling Unit, Yale School of Public Health, Yale University; New Haven, CT USA
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12
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Choudhury EP, Sengupta AM, Sarkar B, Singh D, Sarkar K. Intra-familial transmission pattern of COVID-19 infection among the rural residents in Ahmedabad, Gujarat during an epidemic of SARS-CoV2 in India. Jpn J Infect Dis 2021; 75:329-333. [PMID: 34853191 DOI: 10.7883/yoken.jjid.2021.267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
We are yet to completely understand the transmission dynamics of COVID-19 which is a highly infectious disease and research exploring the same is lacking. Hence, a community-based cross-sectional study was conducted aiming to assess the intra-familial transmission pattern among the rural residents of Ahmedabad, Gujarat in relation to possible determinants with special focus on viral load as an important determinant. A cross-sectional study was done where 195 families were visited. Families having at least one infected case, were interviewed. Information about their socio-demographic profile and secondary transmission of case/s were recorded. Out of 195, 114 families confirmed to having at least one infected case within the family. About 38.6% (44/114) of the index cases were asymptomatic, which was much higher among low viral load index cases. Index cases with high, moderate and low viral load had transmitted the infection with an average of 3.3, 1.5, 0.4 secondary cases per index case respectively. About one third of COVID-19 infected cases was asymptomatic and was capable of spreading the disease within families. Secondly, index cases with higher viral load had higher transmission potential to generate more secondary cases compared to low viral load.
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Affiliation(s)
| | | | | | - Dharmendra Singh
- ICMR-National JALMA Institute for Leprosy & Other mycobacterial Diseases, India
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Dupraz J, Butty A, Duperrex O, Estoppey S, Faivre V, Thabard J, Zuppinger C, Greub G, Pantaleo G, Pasquier J, Rousson V, Egger M, Steiner-Dubuis A, Vassaux S, Masserey E, Bochud M, Gonseth Nusslé S, D'Acremont V. Prevalence of SARS-CoV-2 in Household Members and Other Close Contacts of COVID-19 Cases: A Serologic Study in Canton of Vaud, Switzerland. Open Forum Infect Dis 2021; 8:ofab149. [PMID: 34307723 PMCID: PMC8083624 DOI: 10.1093/ofid/ofab149] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Accepted: 03/23/2021] [Indexed: 11/12/2022] Open
Abstract
Background Research on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission within households and other close settings using serological testing is scarce. Methods We invited coronavirus disease 2019 (COVID-19) cases diagnosed between February 27 and April 1, 2020, in Canton of Vaud, Switzerland, to participate, along with household members and other close contacts. Anti-SARS-CoV-2 immunoglobulin G antibodies were measured using a Luminex immunoassay. We estimated factors associated with serological status using generalized estimating equations. Results Overall, 219 cases, 302 household members, and 69 other close contacts participated between May 4 and June 27, 2020. More than half of household members (57.2%; 95% CI, 49.7%-64.3%) had developed a serologic response to SARS-CoV-2, while 19.0% (95% CI, 10.0%-33.2%) of other close contacts were seropositive. After adjusting for individual and household characteristics, infection risk was higher in household members aged ≥65 years than in younger adults (adjusted odds ratio [aOR], 3.63; 95% CI, 1.05-12.60) and in those not strictly adhering to simple hygiene rules like hand washing (aOR, 1.80; 95% CI, 1.02-3.17). The risk was lower when more than 5 people outside home were met during semiconfinement, compared with none (aOR, 0.35; 95% CI, 0.16-0.74). Individual risk of household members to be seropositive was lower in large households (22% less per each additional person). Conclusions During semiconfinement, household members of a COVID-19 case were at very high risk of getting infected, 3 times more than close contacts outside home. This highlights the need to provide clear messages on protective measures applicable at home. For elderly couples, who were especially at risk, providing external support for daily basic activities is essential.
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Affiliation(s)
- Julien Dupraz
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
| | - Audrey Butty
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
| | - Olivier Duperrex
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
| | - Sandrine Estoppey
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
| | - Vincent Faivre
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
| | - Julien Thabard
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
| | - Claire Zuppinger
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
| | - Gilbert Greub
- Institute of Microbiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,Service of Infectious Diseases, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Giuseppe Pantaleo
- Service of Immunology and Allergy, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,Swiss Vaccine Research Institute, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Jérôme Pasquier
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
| | - Valentin Rousson
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
| | - Malik Egger
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
| | - Amélie Steiner-Dubuis
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
| | - Sophie Vassaux
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
| | - Eric Masserey
- Cantonal Medical Office, Department of Health and Social Action, Canton of Vaud, Switzerland
| | - Murielle Bochud
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
| | - Semira Gonseth Nusslé
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
| | - Valérie D'Acremont
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland.,Swiss Tropical and Public Health Institute, University of Basel, Basel, Switzerland
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