Publication:
Social contact patterns and implications for infectious disease transmission: A systematic review and meta-analysis of contact surveys

dc.contributor.authorAndria Mousaen_US
dc.contributor.authorPeter Winskillen_US
dc.contributor.authorOliver J. Watsonen_US
dc.contributor.authorOliver Ratmannen_US
dc.contributor.authorMélodie Monoden_US
dc.contributor.authorMarco Ajellien_US
dc.contributor.authorAldiouma Dialloen_US
dc.contributor.authorPeter J. Dodden_US
dc.contributor.authorCarlos G. Grijalvaen_US
dc.contributor.authorMoses Chapa Kitien_US
dc.contributor.authorAnand Krishnanen_US
dc.contributor.authorRakesh Kumaren_US
dc.contributor.authorSupriya Kumaren_US
dc.contributor.authorKin On Kwoken_US
dc.contributor.authorClaudio F. Lanataen_US
dc.contributor.authorOlivier Le Polain De Warouxen_US
dc.contributor.authorKathy Leungen_US
dc.contributor.authorWiriya Mahikulen_US
dc.contributor.authorAlessia Melegaroen_US
dc.contributor.authorCarl D. Morrowen_US
dc.contributor.authorJoël Mossongen_US
dc.contributor.authorEleanor Fg Nealen_US
dc.contributor.authorDavid J. Nokesen_US
dc.contributor.authorWirichada Pan-Ngumen_US
dc.contributor.authorGail E. Potteren_US
dc.contributor.authorFiona M. Russellen_US
dc.contributor.authorSiddhartha Sahaen_US
dc.contributor.authorJonathan D. Sugimotoen_US
dc.contributor.authorWan In Weien_US
dc.contributor.authorRobin R. Wooden_US
dc.contributor.authorJoseph T. Wuen_US
dc.contributor.authorJuanjuan Zhangen_US
dc.contributor.authorPatrick Gt Walkeren_US
dc.contributor.authorCharles Whittakeren_US
dc.contributor.otherLaboratory of Data Discovery for Healthen_US
dc.contributor.otherFaculty of Tropical Medicine, Mahidol Universityen_US
dc.contributor.otherFaculty of Medicine, Dentistry and Healthen_US
dc.contributor.otherFaculty of Science, Engineering and Medicineen_US
dc.contributor.otherThe University of Hong Kong Li Ka Shing Faculty of Medicineen_US
dc.contributor.otherInstituto de Investigacion Nutricionalen_US
dc.contributor.otherWellcome Trust Research Laboratories Nairobien_US
dc.contributor.otherLondon School of Hygiene & Tropical Medicineen_US
dc.contributor.otherVanderbilt University Medical Centeren_US
dc.contributor.otherIRD Institut de Recherche pour le Developpementen_US
dc.contributor.otherNortheastern Universityen_US
dc.contributor.otherUniversity of Melbourneen_US
dc.contributor.otherDepartment of Veterans Affairsen_US
dc.contributor.otherChulabhorn Royal Academyen_US
dc.contributor.otherBill and Melinda Gates Foundationen_US
dc.contributor.otherUniversità Bocconien_US
dc.contributor.otherCenters for Disease Control and Preventionen_US
dc.contributor.otherIndiana University Bloomingtonen_US
dc.contributor.otherImperial College Londonen_US
dc.contributor.otherFaculty of Health Sciencesen_US
dc.contributor.otherFudan Universityen_US
dc.contributor.otherAll India Institute of Medical Sciences, New Delhien_US
dc.contributor.otherMurdoch Children's Research Instituteen_US
dc.contributor.otherNational Institutes of Health (NIH)en_US
dc.contributor.otherFred Hutchinson Cancer Research Centeren_US
dc.contributor.otherChinese University of Hong Kongen_US
dc.contributor.otherUniversity of Washingtonen_US
dc.contributor.otherEmmes Companyen_US
dc.contributor.otherHealth Directorateen_US
dc.date.accessioned2022-08-04T08:04:15Z
dc.date.available2022-08-04T08:04:15Z
dc.date.issued2021-11-01en_US
dc.description.abstractBackground: Transmission of respiratory pathogens such as SARS-CoV-2 depends on patterns of contact and mixing across populations. Understanding this is crucial to predict pathogen spread and the effectiveness of control efforts. Most analyses of contact patterns to date have focussed on high-income settings. Methods: Here, we conduct a systematic review and individual-participant meta-analysis of surveys carried out in low- and middle-income countries and compare patterns of contact in these settings to surveys previously carried out in high-income countries. Using individual-level data from 28,503 participants and 413,069 contacts across 27 surveys we explored how contact characteristics (number, location, duration and whether physical) vary across income settings. Results: Contact rates declined with age in high- and upper-middle-income settings, but not in low-income settings, where adults aged 65+ made similar numbers of contacts as younger individuals and mixed with all age-groups. Across all settings, increasing household size was a key determinant of contact frequency and characteristics, but low-income settings were characterised by the largest, most intergenerational households. A higher proportion of contacts were made at home in low-income settings, and work/school contacts were more frequent in high-income strata. We also observed contrasting effects of gender across income-strata on the frequency, duration and type of contacts individuals made. Conclusions: These differences in contact patterns between settings have material consequences for both spread of respiratory pathogens, as well as the effectiveness of different non-pharmaceutical interventions.en_US
dc.identifier.citationeLife. Vol.10, (2021)en_US
dc.identifier.doi10.7554/eLife.70294en_US
dc.identifier.issn2050084Xen_US
dc.identifier.other2-s2.0-85120920571en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/75965
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85120920571&origin=inwarden_US
dc.subjectBiochemistry, Genetics and Molecular Biologyen_US
dc.subjectImmunology and Microbiologyen_US
dc.subjectNeuroscienceen_US
dc.titleSocial contact patterns and implications for infectious disease transmission: A systematic review and meta-analysis of contact surveysen_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85120920571&origin=inwarden_US

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