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

Author:

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

Abstract

Abstract Objective To assess the association between public attitudes, beliefs, and information seeking about the COVID-19 pandemic and willingness to participate in contact tracing in Michigan. Methods Using 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. Results Perceived 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. Conclusion Policy 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.

Publisher

Springer Science and Business Media LLC

Subject

Public Health, Environmental and Occupational Health

Reference31 articles.

1. Coronavirus Resource Center. Maps and trends: Cumulative cases. Maryland: John Hopkins University; 2020. [cited 2020 December 20]. Retrieved from: https://coronavirus.jhu.edu/data/cumulative-cases

2. Coronavirus Resource Center. Unites States, Michigan State overview. Maryland: John Hopkins University; 2020. [cited 2020 December 20]. Retrieved from https://coronavirus.jhu.edu/region/us/michigan

3. Chan LY, Yuan B, Convertino M. COVID-19 non-pharmaceutical intervention portfolio effectiveness and risk communication predominance. Sci Rep. 2021;11:10605. https://doi.org/10.1038/s41598-021-88309-1.

4. Arachchilage HK, Hussaini MY. Ranking non-pharmaceutical interventions against Covid-19 global pandemic using global sensitivity analysis-Effect on number of deaths. Chaos Solitons Fractals. 2021;152:111458. https://doi.org/10.1016/j.chaos.2021.111458.

5. World Health Organization. Coronavirus disease (COVID-19): Contact tracing. 2021 [cited March 17, 2022]. Retrieved from https://www.who.int/news-room/questions-and-answers/item/coronavirus-disease-covid-19-contact-tracing

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