Evidence map›Paper›PMID 35338202›Full record

ArticleScientific reports2022

The influence of risk perceptions on close contact frequency during the SARS-CoV-2 pandemic.

James Wambua, Lisa Hermans, Pietro Coletti, Frederik Verelst, Lander Willem, Christopher I Jarvis, Amy Gimma, Kerry L M Wong, Adrien Lajot, Stefaan Demarest and 4 more

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

14 authors.

James WambuaUHasselt, Data Science Institute, I-BioStat, 3500, Hasselt, Belgium. james.wambua@uhasselt.be.
Lisa HermansUHasselt, Data Science Institute, I-BioStat, 3500, Hasselt, Belgium.
Pietro ColettiUHasselt, Data Science Institute, I-BioStat, 3500, Hasselt, Belgium.
Frederik VerelstCentre for Health Economic Research and Modelling Infectious Diseases, Vaccine and Infectious Disease Institute, University of Antwerp, 2610, Antwerp, Belgium.
Lander WillemCentre for Health Economic Research and Modelling Infectious Diseases, Vaccine and Infectious Disease Institute, University of Antwerp, 2610, Antwerp, Belgium.
Christopher I JarvisDepartment of Infectious Disease Epidemiology, Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
Amy GimmaDepartment of Infectious Disease Epidemiology, Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
Kerry L M WongDepartment of Infectious Disease Epidemiology, Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
Adrien LajotDepartment of Epidemiology and Public Health, Sciensano, Brussels, Belgium.
Stefaan DemarestDepartment of Epidemiology and Public Health, Sciensano, Brussels, Belgium.
W John EdmundsDepartment of Infectious Disease Epidemiology, Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
Christel FaesUHasselt, Data Science Institute, I-BioStat, 3500, Hasselt, Belgium.
Philippe BeutelsCentre for Health Economic Research and Modelling Infectious Diseases, Vaccine and Infectious Disease Institute, University of Antwerp, 2610, Antwerp, Belgium.
Niel HensUHasselt, Data Science Institute, I-BioStat, 3500, Hasselt, Belgium.

Funding

European Research CouncilFonds voor Wetenschappelijk Onderzoek (FWO) postdoctoral fellowship 1234620NGlobal Challenges Research Fund (GCRF) project 'RECAP' managed through RCUK and ESRC ES/P010873/1Medical Research Council MC_PC_19065NIHR PR-OD-1017-20002Research Council (ERC) under the European Union's Horizon 2020 research and innovation program 682540 TransMID
6 · The paper itself

Abstract

Human behaviour is known to be crucial in the propagation of infectious diseases through respiratory or close-contact routes like the current SARS-CoV-2 virus. Intervention measures implemented to curb the spread of the virus mainly aim at limiting the number of close contacts, until vaccine roll-out is complete. Our main objective was to assess the relationships between SARS-CoV-2 perceptions and social contact behaviour in Belgium. Understanding these relationships is crucial to maximize interventions' effectiveness, e.g. by tailoring public health communication campaigns. In this study, we surveyed a representative sample of adults in Belgium in two longitudinal surveys (survey 1 in April 2020 to August 2020, and survey 2 in November 2020 to April 2021). Generalized linear mixed effects models were used to analyse the two surveys. Participants with low and neutral perceptions on perceived severity made a significantly higher number of social contacts as compared to participants with high levels of perceived severity after controlling for other variables. Our results highlight the key role of perceived severity on social contact behaviour during a pandemic. Nevertheless, additional research is required to investigate the impact of public health communication on severity of COVID-19 in terms of changes in social contact behaviour.

Indexed as

Communicable DiseasesCOVID-19AdultHumansPandemicsPublic HealthSARS-CoV-2

Identifiers

PMID35338202
PMCPMC8951651

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.