Evidence map›Paper›PMID 40866502›Full record

ArticleScientific reports2025

Behavioral interventions and respiratory virus incidence in a two-cohort study.

Behnam Nikparvar, Cara Exten, Nita Bharti

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Behnam NikparvarDepartment of Biology, Center for Infectious Disease Dynamics, The Pennsylvania State University, University Park, PA, USA.ORCID http://orcid.org/0000-0002-7828-9356
Cara ExtenCollege of Nursing, The Pennsylvania State University, University Park, PA, USA.ORCID http://orcid.org/0000-0001-5494-7724
Nita BhartiDepartment of Biology, Center for Infectious Disease Dynamics, The Pennsylvania State University, University Park, PA, USA. nita@psu.edu.ORCID http://orcid.org/0000-0003-1940-7794

Funding

Measuring human behavior and ecological dimensions of pathogen transmission for outbreak control and preventionR01TW012434 · FIC · PENNSYLVANIA STATE UNIVERSITY, THE · PI BHARTI, NITA, ROBINSON, ANTHONY CHRISTIAN · 2022 to 2025
$1.9M
FIC NIH HHS R01 TW012434National Science Foundation 2202872NIH HHS R01TW012434
6 · The paper itself

Abstract

Behavioral interventions are a critical tool for managing novel and emerging pathogens. Examples include hand-washing, masking, or staying home when feeling ill. The dynamics of behavioral interventions have been difficult to measure and are poorly understood. This makes it difficult to assess their impact during outbreaks. In this study, we investigate the uptake, persistence, and waning, of behavioral interventions against respiratory viruses among two cohorts in Centre County, PA. We focused on the three years following the emergence of SARS-CoV-2. We detected clusters of behaviors that followed similar patterns of engagement and variations over time. We also identified novel behavioral interventions that were introduced to combat COVID-19 that coincided with a reduction in non-COVID-19 respiratory disease incidence. Additionally, we detected changes in risk perception and changes in behaviors over time. These findings strengthen our understanding of factors that may influence behavior and inform recommendations around behavioral interventions during outbreak management, including information dissemination and behavioral guidelines.

Indexed as

COVID-19Respiratory Tract InfectionsAdultCohort StudiesFemaleHand DisinfectionHumansIncidenceMaleMiddle AgedSARS-CoV-2

Identifiers

PMID40866502
PMCPMC12391541

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.