Literature DB >> 35863153

Political ideology predicts preventative behaviors and infections amid COVID-19 in democracies.

Hans H Tung1, Teng-Jen Chang2, Ming-Jen Lin3.   

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.
Copyright © 2022 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  COVID-19; Conpiratory thinking; Political ideology; Risk perception

Mesh:

Year:  2022        PMID: 35863153      PMCID: PMC9278997          DOI: 10.1016/j.socscimed.2022.115199

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   5.379


  16 in total

1.  Social distancing decreases an individual's likelihood of contracting COVID-19.

Authors:  Russell H Fazio; Benjamin C Ruisch; Courtney A Moore; Javier A Granados Samayoa; Shelby T Boggs; Jesse T Ladanyi
Journal:  Proc Natl Acad Sci U S A       Date:  2021-02-23       Impact factor: 11.205

2.  COVID-19 Government Response Event Dataset (CoronaNet v.1.0).

Authors:  Cindy Cheng; Joan Barceló; Allison Spencer Hartnett; Robert Kubinec; Luca Messerschmidt
Journal:  Nat Hum Behav       Date:  2020-06-23

3.  Impacts of social distancing policies on mobility and COVID-19 case growth in the US.

Authors:  Gregory A Wellenius; Swapnil Vispute; Valeria Espinosa; Alex Fabrikant; Thomas C Tsai; Jonathan Hennessy; Andrew Dai; Brian Williams; Krishna Gadepalli; Adam Boulanger; Adam Pearce; Chaitanya Kamath; Arran Schlosberg; Catherine Bendebury; Chinmoy Mandayam; Charlotte Stanton; Shailesh Bavadekar; Christopher Pluntke; Damien Desfontaines; Benjamin H Jacobson; Zan Armstrong; Bryant Gipson; Royce Wilson; Andrew Widdowson; Katherine Chou; Andrew Oplinger; Tomer Shekel; Ashish K Jha; Evgeniy Gabrilovich
Journal:  Nat Commun       Date:  2021-05-25       Impact factor: 14.919

4.  The ideological divide and climate change opinion: "top-down" and "bottom-up" approaches.

Authors:  Jennifer Jacquet; Monica Dietrich; John T Jost
Journal:  Front Psychol       Date:  2014-12-18

5.  Association of Social Distancing, Population Density, and Temperature With the Instantaneous Reproduction Number of SARS-CoV-2 in Counties Across the United States.

Authors:  David Rubin; Jing Huang; Brian T Fisher; Antonio Gasparrini; Vicky Tam; Lihai Song; Xi Wang; Jason Kaufman; Kate Fitzpatrick; Arushi Jain; Heather Griffis; Koby Crammer; Jeffrey Morris; Gregory Tasian
Journal:  JAMA Netw Open       Date:  2020-07-01

6.  COVID-19-related conspiracy beliefs and their relationship with perceived stress and pre-existing conspiracy beliefs.

Authors:  Neophytos Georgiou; Paul Delfabbro; Ryan Balzan
Journal:  Pers Individ Dif       Date:  2020-06-16

7.  Finding Someone to Blame: The Link Between COVID-19 Conspiracy Beliefs, Prejudice, Support for Violence, and Other Negative Social Outcomes.

Authors:  Jakub Šrol; Vladimíra Čavojová; Eva Ballová Mikušková
Journal:  Front Psychol       Date:  2022-01-14

8.  Association between mobility patterns and COVID-19 transmission in the USA: a mathematical modelling study.

Authors:  Hamada S Badr; Hongru Du; Maximilian Marshall; Ensheng Dong; Marietta M Squire; Lauren M Gardner
Journal:  Lancet Infect Dis       Date:  2020-07-01       Impact factor: 71.421

9.  Pairing facts with imagined consequences improves pandemic-related risk perception.

Authors:  Alyssa H Sinclair; Shabnam Hakimi; Matthew L Stanley; R Alison Adcock; Gregory R Samanez-Larkin
Journal:  Proc Natl Acad Sci U S A       Date:  2021-08-10       Impact factor: 11.205

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