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Social Contact Patterns and Implications for Infectious Disease Transmission: A Systematic Review and Meta-Analysis of Contact Surveys.
Mousa, Andria; Winskill, Peter; Watson, Oliver J; Ratmann, Oliver; Monod, Mélodie; Ajelli, Marco; Diallo, Aldiouma; Dodd, Peter J; Grijalva, Carlos G; Kiti, Moses Chapa; Krishnan, Anand; Kumar, Rakesh; Kumar, Supriya; Kwok, Kin On; Lanata, Claudio F; Le Polain de Waroux, Olivier; Leung, Kathy; Mahikul, Wiriya; Melegaro, Alessia; Morrow, Carl D; Mossong, Joël; Neal, Eleanor Fg; Nokes, David J; Pan-Ngum, Wirichada; Potter, Gail E; Russell, Fiona M; Saha, Siddhartha; Sugimoto, Jonathan D; Wei, Wan In; Wood, Robin R; Wu, Joseph T; Zhang, Juanjuan; Walker, Patrick Gt; Whittaker, Charles.
Afiliación
  • Mousa A; MRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London, UK.
  • Winskill P; MRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London, UK.
  • Watson OJ; MRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London, UK.
  • Ratmann O; Department of Mathematics, Imperial College London, London, UK.
  • Monod M; Department of Mathematics, Imperial College London, London, UK.
  • Ajelli M; Department of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, IN, USA.
  • Diallo A; Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA.
  • Dodd PJ; VITROME, Institut de Recherche pour le Developpement, Senegal.
  • Grijalva CG; School of Health and Related Research, University of Sheffield, UK.
  • Kiti MC; Division of Pharmacoepidemiology, Department of Health Policy. Vanderbilt University Medical Center. Nashville, TN, USA.
  • Krishnan A; KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
  • Kumar R; Centre for Community Medicine, All India Institute of Medical Sciences, New Delhi, India.
  • Kumar S; Centre for Community Medicine, All India Institute of Medical Sciences, New Delhi, India.
  • Kwok KO; Bill & Melinda Gates Foundation, Seattle, USA.
  • Lanata CF; JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China.
  • Le Polain de Waroux O; Stanley Ho Centre for Emerging Infectious Diseases, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China.
  • Leung K; Shenzhen Research Institute of The Chinese University of Hong Kong, Shenzhen, China.
  • Mahikul W; Instituto de Investigación Nutricional, Lima, Peru.
  • Melegaro A; Department of Medicine, Vanderbilt University, Nashville, TN, USA.
  • Morrow CD; London School of Hygiene and Tropical Medicine, London, UK.
  • Mossong J; WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
  • Neal EF; Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, New Territories, Hong Kong SAR, China.
  • Nokes DJ; Faculty of Medicine and Public Health, HRH Princess Chulabhorn College of Medical Science, Chulabhorn Royal Academy, Bangkok 10210, Thailand.
  • Pan-Ngum W; Dondena Centre for Research on Social Dynamics and Public Policy, Department of Social and Political Sciences, Bocconi University, Milan, Italy.
  • Potter GE; Desmond Tutu HIV Centre, Department of Medicine, Faculty of Health Sciences, University of Cape Town, South Africa.
  • Russell FM; Centre for Infectious Disease Epidemiology and Research (CIDER), School of Public Health and Family Medicine, Faculty of Health Sciences, University of Cape Town South Africa.
  • Saha S; Health Directorate, Luxembourg.
  • Sugimoto JD; Infection & Immunity, Murdoch Children's Research Institute, Parkville, Victoria, Australia.
  • Wei WI; Department of Paediatrics, University of Melbourne, Parkville, Victoria, Australia.
  • Wood RR; KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
  • Wu JT; School of Life Sciences, University of Warwick, Coventry UK.
  • Zhang J; Department of Tropical Hygiene, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
  • Walker PG; National Institute for Allergies and Infectious Diseases, National Institutes of Health, Rockville MD, USA.
  • Whittaker C; The Emmes Company, Rockville MD, USA.
medRxiv ; 2021 Jun 15.
Article en En | MEDLINE | ID: mdl-34159341
BACKGROUND: 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. FUNDING: This work is primarily being funded by joint Centre funding from the UK Medical Research Council and DFID (MR/R015600/1).

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies / Systematic_reviews Idioma: En Revista: MedRxiv Año: 2021 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies / Systematic_reviews Idioma: En Revista: MedRxiv Año: 2021 Tipo del documento: Article