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1. Agent-based modelling of reactive vaccination of workplaces and schools against COVID-19

Author

Benjamin Faucher, Rania Assab, Jonathan Roux, Daniel Levy-Bruhl, Cécile Tran Kiem, Simon Cauchemez, Laura Zanetti, Vittoria Colizza, Pierre-Yves Boëlle, Chiara Poletto, Institut Pierre Louis d'Epidémiologie et de Santé Publique (iPLESP), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), Centre de Recherches sur l'Action Politique en Europe (ARENES), Université de Rennes (UR)-Institut d'Études Politiques [IEP] - Rennes-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Centre National de la Recherche Scientifique (CNRS), École des Hautes Études en Santé Publique [EHESP] (EHESP), Santé publique France - French National Public Health Agency [Saint-Maurice, France], Modélisation mathématique des maladies infectieuses - Mathematical modelling of Infectious Diseases, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Collège Doctoral, Sorbonne Université (SU), Haute Autorité de Santé [Saint-Denis La Plaine] (HAS), Tokyo Institute of Technology [Tokyo] (TITECH), We acknowledge financial support from Haute Autorité de Santé, the ANR and Fondation de France through the project NoCOV (00105995), the Municipality of Paris (https://www.paris.fr/) through the programme Emergence(s), EU H2020 grants MOOD(H2020-874850, paper MOOD 035) and RECOVER (H2020-101003589) (the contents of this publication do not necessarily reflect the views of the European Commission), the ANRS through the project EMERGEN (ANRS0151), and the Institut des Sciences duCalcul et de la Donnée., ANR-20-COVI-0070,NoCOV,Prévisions au court et moyen terme de la diffusion de COVID-19 dans la population générale française(2020), European Project: 874850,H2020-SC1-2019-Single-Stage-RTD,MOOD(2020), European Project: 101003589, H2020-SC1-PHE-CORONAVIRUS-2020,RECOVER(2020), EHESP, SCD, Prévisions au court et moyen terme de la diffusion de COVID-19 dans la population générale française - - NoCOV2020 - ANR-20-COVI-0070 - COVID-19 - VALID, MOnitoring Outbreak events for Disease surveillance in a data science context - MOOD - 874850 - INCOMING, Rapid European COVID-19 Emergency Response research - RECOVER - - H2020-SC1-PHE-CORONAVIRUS-20202020-02-14 - 2022-02-13 - 101003589 - VALID, and European Project: 874850,MOOD

Subjects
Multidisciplinary, Schools, Systems Analysis, Vaccination, General Physics and Astronomy, COVID-19, General Chemistry, General Biochemistry, Genetics and Molecular Biology, [SDV.IMM.VAC] Life Sciences [q-bio]/Immunology/Vaccinology, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, Humans, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, [SDV.IMM.VAC]Life Sciences [q-bio]/Immunology/Vaccinology, Workplace, COVID 19
Abstract

With vaccination against COVID-19 stalled in some countries, increasing vaccine accessibility and distribution could help keep transmission under control. Here, we study the impact of reactive vaccination targeting schools and workplaces where cases are detected, with an agent-based model accounting for COVID-19 natural history, vaccine characteristics, demographics, behavioural changes and social distancing. In most scenarios, reactive vaccination leads to a higher reduction in cases compared with non-reactive strategies using the same number of doses. The reactive strategy could however be less effective than a moderate/high pace mass vaccination program if initial vaccination coverage is high or disease incidence is low, because few people would be vaccinated around each case. In case of flare-ups, reactive vaccination could better mitigate spread if it is implemented quickly, is supported by enhanced test-trace-isolate and triggers an increased vaccine uptake. These results provide key information to plan an adaptive vaccination rollout.

Published
2021

2. Secondhand Smoking and Depressive Symptoms Among In-School Adolescents

Author

Louis Jacob, Ai Koyanagi, Sarah E Jackson, Lee Smith, Josep Maria Haro, Jae Il Shin, Université de Versailles Saint-Quentin-en-Yvelines - UFR Sciences de la santé Simone Veil (UVSQ Santé), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Anglia Ruskin University (ARU), University College of London [London] (UCL), ICREA Infection Biology Laboratory (Department of Experimental and Health Sciences), Universitat Pompeu Fabra [Barcelona] (UPF), Centers for Disease Control and Prevention, CDC: PI15/00862 World Health Organization, WHO Instituto de Salud Carlos III, ISCIII European Regional Development Fund, FEDER, This research was based on data from the Global School-Based Student Health Survey, which was made available for use by the Chronic Diseases and Health Promotion Department of the WHO and the U.S. Centers for Disease Control and Prevention. Ai Koyanagi's work is supported by the PI15/00862 project, integrated into the National R?+?D?+?I and funded by the ISCIII - General Branch Evaluation and Promotion of Health Research - and the European Regional Development Fund (ERDF-FEDER). LJ contributed to the design of the study, undertook the statistical analysis, managed the literature searches, wrote the first draft of the manuscript, and contributed to the correction of the manuscript. LS, SEJ, JMH, and JIS contributed to the design of the study and the correction of the manuscript. AK contributed to the design of the study, undertook the statistical analysis, and contributed to the correction of the manuscript. All authors contributed to and have approved the final manuscript. The data sets supporting the conclusions of this article are available at www.cdc.gov. No financial disclosures were reported by the authors of this paper., and Ai Koyanagi's work is supported by the PI15/00862 project, integrated into the National R + D + I and funded by the ISCIII - General Branch Evaluation and Promotion of Health Research - and the European Regional Development Fund (ERDF-FEDER).

Subjects
Male, Adolescent, Epidemiology, Cross-sectional study, [SDV]Life Sciences [q-bio], Developing country, Global Health, Logistic regression, 03 medical and health sciences, 0302 clinical medicine, 030225 pediatrics, Environmental health, Prevalence, Global health, Humans, Medicine, 030212 general & internal medicine, Students, Secondhand smoke, Developing Countries, Depressive symptoms, 2. Zero hunger, Schools, Depression, business.industry, Public Health, Environmental and Occupational Health, Health Surveys, 3. Good health, Food insecurity, Cross-Sectional Studies, Secondhand smoking, Female, Tobacco Smoke Pollution, business
Abstract

International audience; Introduction: Smoking has been linked with depressive symptoms in adolescents, but data on secondhand smoking and depressive symptoms in low- and middle-income countries are scarce. Thus, this study analyzes the association between secondhand smoking and depressive symptoms among in-school adolescents from 22 low- and middle-income countries. Methods: Data from the 2003–2008 Global School-Based Student Health Survey were analyzed in June 2019. Data on past-week exposure to secondhand smoke and past-year depressive symptoms were collected. The association between secondhand smoke and depressive symptoms was studied using multivariable logistic regressions and meta-analyses. Results: The sample consisted of 37,505 adolescents aged 12–15 years who never smoked. The prevalence of depressive symptoms increased from 23.0% in adolescents with no secondhand smoking to 28.9% in those with secondhand smoking every day in the past week. After adjusting for sex, age, food insecurity, and country, there was a dose–response relationship between secondhand smoking and depressive symptoms in the overall sample (0 days: reference; 1–2 days: OR=1.06, 95% CI=0.95, 1.18; 3–6 days: OR=1.38, 95% CI=1.20, 1.58; 7 days: OR=1.63, 95% CI=1.44, 1.86). The country-wise analysis showed that secondhand smoking on at least 3 days (versus

Published
2020