Evidence map›Paper›PMID 42406882›Full record

ArticleEpidemiology (Cambridge, Mass.)2026

Temporal Connectivity of Social Contact Networks in Urban and Rural India.

Dehao Chen, Prasanna Samuel, Rajan Srinivasan, Adrien Le Guillou, Venkata Raghava Mohan, Saad B Omer, Benjamin A Lopman, Samuel M Jenness

Abstract read
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Article in Epidemiology (Cambridge, Mass.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Dehao ChenFrom the Department of Epidemiology, Emory University, Atlanta, GA.ORCID 0000-0003-4482-0329
Prasanna SamuelChristian Medical College-Vellore, Vellore, Tamil Nadu, India.
Rajan SrinivasanChristian Medical College-Vellore, Vellore, Tamil Nadu, India.
Adrien Le GuillouFrom the Department of Epidemiology, Emory University, Atlanta, GA.
Venkata Raghava MohanChristian Medical College-Vellore, Vellore, Tamil Nadu, India.
Saad B OmerUniversity of Texas Southwestern Medical Center, Dallas, TX.
Benjamin A LopmanFrom the Department of Epidemiology, Emory University, Atlanta, GA.
Samuel M JennessFrom the Department of Epidemiology, Emory University, Atlanta, GA.

Funding

COVID Global Mix - Global Mix / Investigation of COVID-19 Disease Parameters for Transmission Models in Low-Resource SettingsR01AI161399 · NIAID · YALE UNIVERSITY · PI Benjamin A Lopman, Saad B. Omer · 2022 to 2026
$3.4M
Comprehensive Profiling of Social Mixing Patterns in Resource Poor CountriesR01HD097175 · NICHD · EMORY UNIVERSITY · PI LOPMAN, BENJAMIN A, OMER, SAAD B. · 2019 to 2023
$2.6M
NIAID NIH HHS R01 AI161399NICHD NIH HHS R01 HD097175
6 · The paper itself

Abstract

backgroundThe epidemic potential of infectious diseases depends on how contacts connect individuals over time-a form of temporal connectivity that has rarely been quantified in resource-poor settings. We used the forward-reachable path (FRP)-the proportion of population reachable from an index person via direct or indirect connections-to quantify temporal connectivity in contact networks relevant for acute respiratory transmission.

methodsFrom empirical social-contact data collected in rural and urban Tamil Nadu, India, we derived contact-location-specific network statistics. These statistics were used to parameterize dynamic network models, simulate daily networks over 1 year, and compute FRPs.

resultsIn both rural and urban networks, mean FRPs rose sharply on day 1, then either increased steadily at school and work or plateaued at home and at locations included in the other layer (that is, locations other than home, school, and work). By day 365, mean FRPs followed the order: home (0.06% [rural] and 0.03% [urban]) < school (11.96% [rural] and 9.14% [urban]) < work (12.55% [rural] and 26.72% [urban]) < other (40.54% [rural] and 67.99% [urban]). The mean FRP peaked at home among those aged ≥60 years, at school among those aged 10-19 years, and at work among those aged 40-59 years.

conclusionsAlthough FRP at home was bounded by household size, reachability expanded substantially through school, work, and other contacts. These findings indicate high temporal connectivity and substantial epidemic potential for acute respiratory transmission in these settings.

Indexed as

Contact TracingRespiratory Tract InfectionsRural PopulationSocial NetworkingUrban PopulationAdolescentAdultChildFemaleHumansIndiaTime FactorsYoung AdultAcute respiratory transmissionEpidemic potentialIndiaSocial networks

Identifiers

PMID42406882
PMCPMC13624582

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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.