Evidence map›Paper›PMID 32930670›Full record

ArticleJMIR public health and surveillance2020

Association Between Public Knowledge About COVID-19, Trust in Information Sources, and Adherence to Social Distancing: Cross-Sectional Survey.

Ilona Fridman, Nicole Lucas, Debra Henke, Christina K Zigler

Open access · goldAbstract read
In one paragraph

Article in JMIR public health and surveillance, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 129 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
129citing papers in PubMed, 3 pooled it
69.8field-weighted citation impact, top 1% 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

129 citing papers in PubMed, 3 syntheses or guidelines pooled it, 275 citations in OpenAlex.

  1. Pooled it
  2. Cyber-biological convergence: a systematic review and future outlook.Frontiers in bioengineering and biotechnology · 2024
    Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Drivers of COVID-19 infections: Perspectives of managers in the Gauteng Department of Health, South Africa.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

69 more citing papers are in PubMed but not listed here.

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 1 institution in 1 country.

Ilona FridmanMargolis Center for Health Policy, Duke University, Durham, NC, United States.ORCID 0000-0001-6130-3134
Nicole LucasCenter for Health Measurement, Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, United States.ORCID 0000-0002-6326-4922
Debra HenkeCenter for Health Measurement, Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, United States.ORCID 0000-0002-7839-0905
Christina K ZiglerCenter for Health Measurement, Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, United States.ORCID 0000-0002-8996-7757
Duke University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe success of behavioral interventions and policies designed to reduce the impact of the COVID-19 pandemic depends on how well individuals are informed about both the consequences of infection and the steps that should be taken to reduce the impact of the disease.

objectiveThe aim of this study was to investigate associations between public knowledge about COVID-19, adherence to social distancing, and public trust in government information sources (eg, the US Centers for Disease Control and Prevention), private sources (eg, FOX and CNN), and social networks (eg, Facebook and Twitter) to inform future policies related to critical information distribution.

methodsWe conducted a cross-sectional survey (N=1243) between April 10 and 14, 2020. Data collection was stratified by US region and other demographics to ensure representativeness of the sample.

resultsGovernment information sources were the most trusted among the public. However, we observed trends in the data that suggested variations in trust by age and gender. White and older populations generally expressed higher trust in government sources, while non-White and younger populations expressed higher trust in private sources (eg, CNN) and social networks (eg, Twitter). Trust in government sources was positively associated with accurate knowledge about COVID-19 and adherence to social distancing. However, trust in private sources (eg, FOX and CNN) was negatively associated with knowledge about COVID-19. Similarly, trust in social networks (eg, Facebook and Twitter) was negatively associated with both knowledge and adherence to social distancing.

conclusionsDuring pandemics such as the COVID-19 outbreak, policy makers should carefully consider the quality of information disseminated through private sources and social networks. Furthermore, when disseminating urgent health information, a variety of information sources should be used to ensure that diverse populations have timely access to critical knowledge.

Indexed as

Health Knowledge, Attitudes, PracticeAdultAgedAged, 80 and overAttitude to HealthBetacoronavirusCommunicable Disease ControlCoronavirus InfectionsCOVID-19Cross-Sectional StudiesFemaleGovernmentHumansInformation DisseminationMaleMass MediabehaviorcoronavirusCOVID-19health communicationsocial distancingtrust in information sources

Identifiers

PMID32930670
PMCPMC7511226
OpenAlexW3084738750

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.