Evidence map›Paper›PMID 42091144›Full record

ArticleBMJ open2026

Estimating modern US social contact patterns, the ENGAGED study: a study protocol for a staggered longitudinal cohort study.

Machi Shiiba, Marina Bruck, Musu M Sesay, Alexander F Hudgins, Marni F Segall, Pragati Prasad, Charlotte R Doran, Aaron J Siegler, Felipe Lobelo, A Blythe Ryerson and 3 more

Abstract read
In one paragraph

Article in BMJ open, 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

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

13 authors.

Machi ShiibaEpidemiology, Emory University, Atlanta, Georgia, USA machi.shiiba@emory.edu.ORCID http://orcid.org/0009-0008-7889-7651
Marina BruckEpidemiology, Emory University, Atlanta, Georgia, USA.
Musu M SesayCenter for Research and Evaluation, Kaiser Permanente Georgia, Atlanta, Georgia, USA.
Alexander F HudginsCenter for Research and Evaluation, Kaiser Permanente Georgia, Atlanta, Georgia, USA.
Marni F SegallCenter for Research and Evaluation, Kaiser Permanente Georgia, Atlanta, Georgia, USA.
Pragati PrasadEpidemiology, Emory University, Atlanta, Georgia, USA.ORCID http://orcid.org/0000-0001-5066-2852
Charlotte R DoranEpidemiology, Emory University, Atlanta, Georgia, USA.
Aaron J SieglerEpidemiology, Emory University, Atlanta, Georgia, USA.
Felipe LobeloCenter for Research and Evaluation, Kaiser Permanente Georgia, Atlanta, Georgia, USA.ORCID http://orcid.org/0000-0003-4185-7193
A Blythe RyersonCenter for Research and Evaluation, Kaiser Permanente Georgia, Atlanta, Georgia, USA.
Ben LopmanEpidemiology, Emory University, Atlanta, Georgia, USA.
Kristin N NelsonEpidemiology, Emory University, Atlanta, Georgia, USA.
Sharia M AhmedEpidemiology, Emory University, Atlanta, Georgia, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAccurately capturing social contact data is essential for developing effective mathematical models to forecast disease trends and evaluate interventions. There are limited population-based data of social contacts in the USA which limits our ability to accurately model infectious disease transmission. METHODS AND ANALYSIS: To fill in this gap, we conducted a staggered longitudinal cohort study in metropolitan Atlanta, Georgia, USA. We aimed to characterise contact patterns and examine how they varied by (1) participant demographics, (2) seasonality and (3) self-managed and medically-attended symptoms. Once per month for 6 months, participants reported individual contacts they can name, individual contacts they cannot name and contacts that occurred in group settings. We defined individual contacts as a two-way conversation with five or more words in the physical presence of another person or physical skin-to-skin contact and group contacts as contacts with a group of people with whom participants talked, interacted or shared space. Participants were enrolled on a rolling basis, and data is collected from November 2024 through April 2026. Data analysis will generate age-specific contact matrices using individual contacts and compare contact rates by symptoms. We will also analyse the number and characteristics (eg, indoor/outdoor) of each type of contact. The contact matrices and results will be publicly available for the wider modelling community. ETHICS AND DISSEMINATION: Kaiser Permanente Interregional Institutional Review Board (IRB) reviewed and approved all submitted study documents. An IRB Authorization Agreement was established with the Emory University IRB documenting the roles and responsibilities of each study site. On study completion, de-identified individual level contact data as well as contact matrices and analytical code will be made publicly available on GitHub/Zenodo platform. Study findings will be published in scientific journals and presented at conferences.

Indexed as

Contact TracingAdolescentAdultChildFemaleGeorgiaHumansLongitudinal StudiesMaleResearch DesignSocial GroupEPIDEMIOLOGIC STUDIESEpidemiologyPublic health

Identifiers

PMID42091144
PMCPMC13150905

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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Registered trials

None linked

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.