Evidence map›Paper›PMID 41851644›Full record

SynthesisBMC infectious diseases2026

Relevance of social contact definitions for use in infectious disease transmission modeling: a systematic review and recommendations.

Charlotte Doran, Mahmud Sheku, Yukiko Nakada, Ben Lopman, Kristin Nelson

Abstract readSystematic Review
In one paragraph

Synthesis in BMC infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Charlotte DoranEmory University Rollins School of Public Health, 1518 Clifton Road, Atlanta, GA, 30322, USA. charlotte.doran@emory.edu.
Mahmud ShekuEmory University Rollins School of Public Health, 1518 Clifton Road, Atlanta, GA, 30322, USA.
Yukiko Nakada *Emory University Rollins School of Public Health, 1518 Clifton Road, Atlanta, GA, 30322, USA.
Ben LopmanEmory University Rollins School of Public Health, 1518 Clifton Road, Atlanta, GA, 30322, USA.
Kristin NelsonEmory University Rollins School of Public Health, 1518 Clifton Road, Atlanta, GA, 30322, USA.

Funding

Emory/Georgia TB Research Advancement Center (TRAC)P30AI168386 · NIAID · EMORY UNIVERSITY · PI Neel Rajnikant Gandhi · 2022 to 2026
$5.8M
Estimating the Epidemiologic Impact of TB Vaccines using Mathematical ModelsK01AI166093 · NIAID · EMORY UNIVERSITY · PI Kristin Nicole Bratton Nelson · 2022 to 2026
$731k
Insight Net Cooperative Agreement, CDC Center for Forecasting and Analytics CDC-RFA-FT-23-0069NIAID NIH HHS K01 AI166093NIAID NIH HHS P30 AI168386NIH/NIAID K01AI166093-01A1
6 · The paper itself

Abstract

backgroundSocial mixing studies provide crucial evidence for parameterizing mathematical models of infectious disease transmission, and their validity for use in models is dependent on their study design and how well the contacts they capture map to the transmission routes of the pathogen of interest. This systematic review aims to catalogue contact definitions used in social mixing studies from 2005 to 2024 and evaluate their conceptual alignment to three archetypal pathogens.

methodsWe searched Ovid Medline, Embase, Scopus, and Global Index Medicus for studies of human-to-human interactions that collected data via survey, diary, or interview published between January 2005 and August 2024. We excluded studies that focused on sexually-transmitted or food/water/vector-borne pathogens or used only GPS or sensor data. We excluded studies of contact tracing as a public health effort. Screening and data collection were conducted in Covidence. Contact definitions were presented verbatim and qualitatively coded to identify key elements. Results were stratified by prospective or retrospective design. We used the Mixed Methods Appraisal Tool to evaluate risk of bias.

resultsWe included 112 eligible studies, half (52.7%) of which began during pandemic periods (H1N1 [2009] or COVID-19 [2020]), commonly in the United States (18%) or United Kingdom (16%). Most (68%) had a retrospective design in which participants were asked to recall contacts that occurred prior to survey administration and 73% used a single-survey cross sectional design using random (16%) or stratified random (44%) sampling. Relevant contacts were often defined by an exchange of words (77%) or physical touch (59%). A minority of studies differentiated between contacts that occurred outdoors vs. indoors (28%) or allowed participants to report large group contacts separately from individually named contacts (28%). Contact definitions and attributes conceptually aligned with the transmission biology of influenza, tuberculosis, and norovirus in 77%, 6%, and 50% of studies respectively.

conclusionsContact studies were limited in their global scope and non-pandemic representativeness. Critical modifiers of transmission risk such as location, household membership, and shared space with large numbers of people were under-measured. Future modeling and social mixing studies should align measured contact rates to the target transmission routes by incorporating these elements.

Indexed as

Communicable DiseasesContact TracingDisease Transmission, InfectiousCOVID-19HumansModels, TheoreticalInfectious disease dynamicsMathematical modelingMixing patternsPathogen transmissionSocial contacts

Identifiers

PMID41851644
PMCPMC13112660

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.