Political ideology predicts preventative behaviors and infections amid COVID-19 in democracies
Hans H. Tung,
Teng-Jen Chang and
Ming-Jen Lin
Authors registered in the RePEc Author Service: 明仁 林
Social Science & Medicine, 2022, vol. 308, issue C
Abstract:
Can one's political ideology predict his or her testing positive for COVID-19 and how? The present study leveraged a recent (April–May 2020) survey of 27,260 individuals across 27 democracies to investigate the associations between political ideology and coronavirus infections. Our individual-level data and mediation analyses allow us to tease out different correlational paths according to which one's political ideology affects his or her infection. We found a more right-leaning attitude to be associated with a higher probability of testing positive both directly and indirectly through conspiracy theory beliefs and physical distancing. Moreover, our cross-national investigation also found that becoming more right-leaning in ideology was associated with a higher level of perceived risk of COVID-19 infection, which made one less likely to test positive. Combined, we provide a more nuanced understanding of the role played by political ideology in the current pandemic, on which the design of a more effective risk communication strategy can be based.
Keywords: Political ideology; COVID-19; Conpiratory thinking; Risk perception (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0277953622005056
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:socmed:v:308:y:2022:i:c:s0277953622005056
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
http://www.elsevier. ... _01_ooc_1&version=01
DOI: 10.1016/j.socscimed.2022.115199
Access Statistics for this article
Social Science & Medicine is currently edited by Ichiro (I.) Kawachi and S.V. (S.V.) Subramanian
More articles in Social Science & Medicine from Elsevier
Bibliographic data for series maintained by Catherine Liu ().