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Summarising data and factors associated with COVID-19 related conspiracy theories in the first year of the pandemic: a systematic review and narrative synthesis.

Tsamakis, K; Tsiptsios, D; Stubbs, B; Ma, R; Romano, E; Mueller, C; Ahmad, A; Triantafyllis, AS; Tsitsas, G; Dragioti, E (2022) Summarising data and factors associated with COVID-19 related conspiracy theories in the first year of the pandemic: a systematic review and narrative synthesis. BMC Psychol, 10 (1). p. 244. ISSN 2050-7283 https://doi.org/10.1186/s40359-022-00959-6
SGUL Authors: Tsamakis, Konstantinos

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Abstract

Conspiracy theories can have particularly harmful effects by negatively shaping health-related behaviours. A significant number of COVID-19 specific conspiracy theories emerged in the immediate aftermath of the pandemic outbreak. The aim of this study was to systematically review the literature on conspiracy theories related to COVID-19 during the first year of the pandemic (2020), to identify their prevalence, their determinants and their public health consequences. A comprehensive literature search was carried out in PubMed and PsycINFO to detect all studies examining any conspiracy theory related to COVID-19 between January 1st 2020, and January 10th 2021. Forty-three studies were included with a total of 61,809 participants. Between 0.4 and 82.7% of participants agreed with at least one conspiracy belief. Certain sociodemographic factors (young age, female gender, being non-white, lower socioeconomic status), psychological aspects (pessimism, blaming others, anger) and other qualities (political conservatism, religiosity, mistrust in science and using social media as source of information) were associated with increased acceptance of conspiracy theories. Conspiracy beliefs led to harmful health-related behaviours and posed a serious public health threat. Large-scale collaborations between governments and healthcare organizations are needed to curb the spread of conspiracy theories and their adverse consequences.

Item Type: Article
Additional Information: © The Author(s) 2022. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
Keywords: Beliefs, COVID-19, Conspiracy theories, First year, Infodemic, Misinformation, Pandemic, Public health, Female, Humans, Pandemics, COVID-19, SARS-CoV-2, Social Media, Public Health, Humans, Public Health, Female, Pandemics, Social Media, COVID-19, SARS-CoV-2, Conspiracy theories, Beliefs, COVID-19, Pandemic, First year, Public health, Misinformation, Infodemic, 1701 Psychology
SGUL Research Institute / Research Centre: Academic Structure > Institute of Medical & Biomedical Education (IMBE)
Journal or Publication Title: BMC Psychol
ISSN: 2050-7283
Language: eng
Dates:
DateEvent
1 November 2022Published
20 October 2022Accepted
Publisher License: Creative Commons: Attribution 4.0
PubMed ID: 36320071
Web of Science ID: WOS:000877697200001
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/115086
Publisher's version: https://doi.org/10.1186/s40359-022-00959-6

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