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. 2019 Sep;30(5):723-736.
doi: 10.1097/EDE.0000000000001047.

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

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

Thang Hoang et al. Epidemiology. 2019 Sep.

Abstract

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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Conflict of interest statement

The authors report no conflicts of interest.

Figures

FIGURE 1.
FIGURE 1.
The PRISMA flowchart of the search process.
FIGURE 2.
FIGURE 2.
Distribution of number of representative surveys based on continents and time periods. Countrywide surveys cover the whole country in which they were conducted.
FIGURE 3.
FIGURE 3.
Average number of contacts measured and 95% CI. For surveys reporting mean number and SD a 95% CI for the mean was computed. Surveys are labeled according to the publication’s first author, year and to the country in which the survey was performed. Ordering is performed based on increasing sample size within the specific design strata.
FIGURE 4.
FIGURE 4.
Determinants of number of social contacts. Surveys are tagged as “Yes” if a relevant connection between the number of contacts and the determinant was identified, “No” if evidence was not identified, or “NA” if the given determinant was not analyzed.

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