Evidence map›Paper›PMID 40300469›Full record

ArticleEpidemics2025

The effect of COVID-19 vaccination on change in contact and implications for transmission.

Carol Y Liu, Aaron Siegler, Patrick Sullivan, Samuel M Jenness, Stefan Flasche, Benjamin Lopman, Kristin Nelson

Abstract read
In one paragraph

Article in Epidemics, 2025. 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
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0citing papers in PubMed
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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

7 authors.

Carol Y LiuDepartment of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA. Electronic address: ykliu2680@gmail.com.
Aaron SieglerDepartment of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA.
Patrick SullivanDepartment of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA.
Samuel M JennessDepartment of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA.
Stefan FlascheCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK.
Benjamin LopmanDepartment of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA.
Kristin NelsonDepartment of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA.

Funding

Population-based survey of SARS-CoV-2 infection and immune responseR01AI143875 · NIAID · EMORY UNIVERSITY · PI SIEGLER, AARON JULIUS, SULLIVAN, PATRICK SEAN · 2019 to 2023
$9.2M
NIAID NIH HHS R01 AI143875
6 · The paper itself

Abstract

backgroundMonitoring human behavior as epidemic intelligence can critically complement traditional surveillance systems during epidemics. Retrospective analysis of novel behavioral data streams initiated during the COVID-19 pandemic help illustrate their utility. During the pandemic, behavior changed rapidly and was increasingly influenced by individual choice in response to changes such as newly available vaccines. Vaccines provided substantial protection against severe disease and deaths; however, their effect on behavior is understudied and it is unclear if vaccine effects against infection fully offset relaxation of social distancing behaviors. METHODS &

resultsWe analyzed data from a longitudinal cohort sampled from U.S. households that measured contact rates, risk mitigation and COVID-19 vaccination status between August 2020-April 2022. Contact rates universally increased across survey rounds among all sociodemographic groups, but unvaccinated individuals had persistently higher contact rates. Using a multilevel generalized linear mixed effects model, we found that individuals who newly completed a primary vaccine series had an additional increase of 1.93 (95 % CI: 0.27-3.59) contacts compared to individuals who remained unvaccinated. Using observed contact rates to estimate transmission, we found that observed increases in contact rates were not fully offset by vaccine protection against infection, but transmission was still maintained below levels without distancing and vaccination despite clusters of individuals with high contact and no vaccination.

conclusionWe estimated changes in contact rates following vaccination and inferred the joint effect of changes in vaccination and contacts on population-level transmission, finding that observed increases in contact rates were not fully offset by vaccine effects. Our work highlights the potential utility of ongoing longitudinal monitoring of contact patterns during epidemics.

Indexed as

COVID-19COVID-19 VaccinesVaccinationAdolescentAdultAgedChildContact TracingFemaleHumansLongitudinal StudiesMaleMiddle AgedRetrospective StudiesSARS-CoV-2United StatesCOVID-19 VaccinesBehavior change during outbreaksCOVID-19Transmission

Identifiers

PMID40300469
PMCPMC12167678

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LicenceCC BY
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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.