Evidence map›Paper›PMID 35836152›Full record

ArticleBMC public health2022

Learning about COVID-19: sources of information, public trust, and contact tracing during the pandemic.

Philip S Amara, Jodyn E Platt, Minakshi Raj, Paige Nong

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
9.9field-weighted citation impact, top 2% of its field
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

14 citing papers in PubMed, 34 citations in OpenAlex.

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  4. Barriers and Facilitators to Trust in the COVID-19 New York City Test and Trace Program.Journal of urban health : bulletin of the New York Academy of Medicine · 2024
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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

4 authors at 2 institutions in 1 country.

Philip S AmaraDivision of Learning and Knowledge Systems, Department of Learning Health Sciences (DLHS), University of Michigan Medical School, 1161A 300 N. Ingalls Building, 11th Floor, Ann Arbor, MI, 48109-5403, USA. amaphili@umich.edu.
Jodyn E PlattDivision of Learning and Knowledge Systems, Department of Learning Health Sciences, University of Michigan Medical School, 300 N. Ingalls - 1161 NIB - 5403, Ann Arbor, MI, 48109-5403, USA.
Minakshi RajDepartment of Kinesiology and Community Health, College of Applied Health Sciences, University of Illinois at Urbana-Champaign, 2007 Huff Hall, 1206 South Fourth Street, Champaign, IL, 61820, USA.
Paige NongDepartment of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor, MI, 48109-5403, USA.
University of Michigan–Ann Arbor · USUniversity of Illinois Urbana-Champaign · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the association between public attitudes, beliefs, and information seeking about the COVID-19 pandemic and willingness to participate in contact tracing in Michigan.

methodsUsing data from the quarterly Michigan State of the State survey conducted in May 2020 (n = 1000), we conducted multiple regression analyses to identify factors associated with willingness to participate in COVID-19 contact tracing efforts.

resultsPerceived threat of the pandemic to personal health (B = 0.59, p = <.00, Ref = No threat) and general trust in the health system (B = 0.17, p < 0.001), were the strongest positive predictors of willingness to participate in contact tracing. Concern about misinformation was also positively associated with willingness to participate in contact tracing (B = 0.30, p < 0.001; Ref = No concern). Trust in information from public health institutions was positively associated with willingness to participate in contact tracing, although these institutions were not necessarily the main sources of information about COVID-19.

conclusionPolicy makers can enhance willingness to participate in public health efforts such as contact tracing during infectious disease outbreaks by helping the public appreciate the seriousness of the public health threat and communicating trustworthy information through accessible channels.

Indexed as

COVID-19PandemicsContact TracingDisease OutbreaksHumansTrustContact tracingCOVID-19Information sourcesMisinformationPublic trust

Identifiers

PMID35836152
PMCPMC9282906
OpenAlexW4285493539

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.