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A Systematic Review of Social Contact Surveys to Inform Transmission Models of Close-contact Infections

BACKGROUND: Researchers increasingly use social contact data to inform models for infectious disease spread with the aim of guiding effective policies about disease prevention and control. In this article, we undertake a systematic review of the study design, statistical analyses, and outcomes of th...

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Autores principales: Hoang, Thang, Coletti, Pietro, Melegaro, Alessia, Wallinga, Jacco, Grijalva, Carlos G., Edmunds, John W., Beutels, Philippe, Hens, Niel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6684224/
https://www.ncbi.nlm.nih.gov/pubmed/31274572
http://dx.doi.org/10.1097/EDE.0000000000001047
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author Hoang, Thang
Coletti, Pietro
Melegaro, Alessia
Wallinga, Jacco
Grijalva, Carlos G.
Edmunds, John W.
Beutels, Philippe
Hens, Niel
author_facet Hoang, Thang
Coletti, Pietro
Melegaro, Alessia
Wallinga, Jacco
Grijalva, Carlos G.
Edmunds, John W.
Beutels, Philippe
Hens, Niel
author_sort Hoang, Thang
collection PubMed
description BACKGROUND: Researchers increasingly use social contact data to inform models for infectious disease spread with the aim of guiding effective policies about disease prevention and control. In this article, we undertake a systematic review of the study design, statistical analyses, and outcomes of the many social contact surveys that have been published. METHODS: We systematically searched PubMed and Web of Science for articles regarding social contact surveys. We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines as closely as possible. RESULTS: In total, we identified 64 social contact surveys, with more than 80% of the surveys conducted in high-income countries. Study settings included general population (58%), schools or universities (37%), and health care/conference/research institutes (5%). The largest number of studies did not focus on a specific age group (38%), whereas others focused on adults (32%) or children (19%). Retrospective (45%) and prospective (41%) designs were used most often with 6% using both for comparison purposes. The definition of a contact varied among surveys, e.g., a nonphysical contact may require conversation, close proximity, or both. We identified age, time schedule (e.g., weekday/weekend), and household size as relevant determinants of contact patterns across a large number of studies. CONCLUSIONS: We found that the overall features of the contact patterns were remarkably robust across several countries, and irrespective of the study details. By considering the most common approach in each aspect of design (e.g., sampling schemes, data collection, definition of contact), we could identify recommendations for future contact data surveys that may be used to facilitate comparison between studies.
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spelling pubmed-66842242019-09-16 A Systematic Review of Social Contact Surveys to Inform Transmission Models of Close-contact Infections Hoang, Thang Coletti, Pietro Melegaro, Alessia Wallinga, Jacco Grijalva, Carlos G. Edmunds, John W. Beutels, Philippe Hens, Niel Epidemiology Infectious Diseases BACKGROUND: Researchers increasingly use social contact data to inform models for infectious disease spread with the aim of guiding effective policies about disease prevention and control. In this article, we undertake a systematic review of the study design, statistical analyses, and outcomes of the many social contact surveys that have been published. METHODS: We systematically searched PubMed and Web of Science for articles regarding social contact surveys. We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines as closely as possible. RESULTS: In total, we identified 64 social contact surveys, with more than 80% of the surveys conducted in high-income countries. Study settings included general population (58%), schools or universities (37%), and health care/conference/research institutes (5%). The largest number of studies did not focus on a specific age group (38%), whereas others focused on adults (32%) or children (19%). Retrospective (45%) and prospective (41%) designs were used most often with 6% using both for comparison purposes. The definition of a contact varied among surveys, e.g., a nonphysical contact may require conversation, close proximity, or both. We identified age, time schedule (e.g., weekday/weekend), and household size as relevant determinants of contact patterns across a large number of studies. CONCLUSIONS: We found that the overall features of the contact patterns were remarkably robust across several countries, and irrespective of the study details. By considering the most common approach in each aspect of design (e.g., sampling schemes, data collection, definition of contact), we could identify recommendations for future contact data surveys that may be used to facilitate comparison between studies. Lippincott Williams & Wilkins 2019-09 2019-07-30 /pmc/articles/PMC6684224/ /pubmed/31274572 http://dx.doi.org/10.1097/EDE.0000000000001047 Text en Copyright © 2019 The Author(s). Published by Wolters Kluwer Health, Inc. This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (http://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
spellingShingle Infectious Diseases
Hoang, Thang
Coletti, Pietro
Melegaro, Alessia
Wallinga, Jacco
Grijalva, Carlos G.
Edmunds, John W.
Beutels, Philippe
Hens, Niel
A Systematic Review of Social Contact Surveys to Inform Transmission Models of Close-contact Infections
title A Systematic Review of Social Contact Surveys to Inform Transmission Models of Close-contact Infections
title_full A Systematic Review of Social Contact Surveys to Inform Transmission Models of Close-contact Infections
title_fullStr A Systematic Review of Social Contact Surveys to Inform Transmission Models of Close-contact Infections
title_full_unstemmed A Systematic Review of Social Contact Surveys to Inform Transmission Models of Close-contact Infections
title_short A Systematic Review of Social Contact Surveys to Inform Transmission Models of Close-contact Infections
title_sort systematic review of social contact surveys to inform transmission models of close-contact infections
topic Infectious Diseases
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6684224/
https://www.ncbi.nlm.nih.gov/pubmed/31274572
http://dx.doi.org/10.1097/EDE.0000000000001047
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