The Role of Conspiracy Theories in the Spread of COVID-19 across the United States.

COVID-19 conspiracy theory human mobility mediation analysis official information personal protection

Journal

International journal of environmental research and public health
ISSN: 1660-4601
Titre abrégé: Int J Environ Res Public Health
Pays: Switzerland
ID NLM: 101238455

Informations de publication

Date de publication:
06 04 2021
Historique:
received: 18 02 2021
revised: 31 03 2021
accepted: 01 04 2021
entrez: 30 4 2021
pubmed: 1 5 2021
medline: 6 5 2021
Statut: epublish

Résumé

The outbreak of coronavirus disease 2019 (COVID-19) inspires various conspiracy theories, which could divert public attention, alter human behaviors, and consequently affect the spread of the pandemic. Here we estimate the relation of the online attention on COVID-19-related conspiracy theories to human mobility, as well as to the numbers of confirmed COVID-19 cases, during 14 March 2020 to 28 August 2020. We observe that the online attention to COVID-19 conspiracy theories is significantly and negatively related to human mobility, but its negative impact is noticeably less than those of the attention to official information and personal protection measures. Since human mobility significantly promotes the spread of COVID-19, the attention to official information and personal protection measures lowers COVID-19 cases by 16.16% and 9.41%, respectively, while attention to conspiracy theories only reduces the COVID-19 cases by 6.65%. In addition, we find that in the states with higher online attention to COVID-19 conspiracy theories, the negative relation of the attention to conspiracy theories is much weaker than that in states where there is less concern about conspiracies. This study stresses the necessity of restricting the online transmission of unfounded conspiracy theories during a pandemic.

Identifiants

pubmed: 33917575
pii: ijerph18073843
doi: 10.3390/ijerph18073843
pmc: PMC8038760
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : National Natural Science Foundation of China
ID : 71671180, 71901194, 71832013

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Auteurs

Fu Gu (F)

Center of Engineering Management, Polytechnic Institute, Zhejiang University, Hangzhou 310027, China.
Department of Industrial and System Engineering, Zhejiang University, Hangzhou 310027, China.
National Institute of Innovation Management, Zhejiang University, Hangzhou 310027, China.

Yingwen Wu (Y)

Department of Industrial and System Engineering, Zhejiang University, Hangzhou 310027, China.

Xinyu Hu (X)

Department of Industrial and System Engineering, Zhejiang University, Hangzhou 310027, China.

Jianfeng Guo (J)

Institute of Science and Development, Chinese Academy of Sciences, Beijing 100190, China.

Xiaohan Yang (X)

Institute of Science and Development, Chinese Academy of Sciences, Beijing 100190, China.
School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100049, China.

Xinze Zhao (X)

Institute of Science and Development, Chinese Academy of Sciences, Beijing 100190, China.
School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100049, China.

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Classifications MeSH