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Factors Influencing Public Panic During the COVID-19 Pandemic

The coronavirus disease 2019 (COVID-19) pandemic has been regarded as a public health emergency that caused a considerable degree of public panic (such as anxiety and insomnia) during its early stage. Some irrational behaviors (such as excessive search for information related to the pandemic and exc...

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Autores principales: Nie, Xiangtian, Feng, Kai, Wang, Shengnan, Li, Yongxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7907154/
https://www.ncbi.nlm.nih.gov/pubmed/33643123
http://dx.doi.org/10.3389/fpsyg.2021.576301
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author Nie, Xiangtian
Feng, Kai
Wang, Shengnan
Li, Yongxin
author_facet Nie, Xiangtian
Feng, Kai
Wang, Shengnan
Li, Yongxin
author_sort Nie, Xiangtian
collection PubMed
description The coronavirus disease 2019 (COVID-19) pandemic has been regarded as a public health emergency that caused a considerable degree of public panic (such as anxiety and insomnia) during its early stage. Some irrational behaviors (such as excessive search for information related to the pandemic and excessive hoarding of supplies) were also triggered as a result of such panic. Although there has been plenty of news coverage on public panic due to the outbreak, research on this phenomenon has been limited. Since panic is the main psychological reaction in the early stage of the pandemic, which largely determines the level of psychological adaptation, time of psychological recovery, and the incidence of PTSD, there exists a demand to conduct investigation on it. From a public governance perspective, the government’s assessment of public panic may affect the efficiency and effectiveness of pandemic prevention and control. Therefore, it is of obvious practical significance to investigate public panic during the COVID-19 pandemic and analyze its influential factors. The self-compiled COVID-19 Social Mentality Questionnaire was used to collect data from a total of 16,616 participants online, and 13,511 valid responses were received. The results from the chi-square test showed that there were differences in gender, educational level, age, pandemic-related knowledge, self-efficacy, risk level, and objective social support. Furthermore, multiple linear regression analysis results showed that self-efficacy, gender, educational level, age, risk level, pandemic-related knowledge, and objective social support were significant predictors of public panic. Among the research variables, self-efficacy, gender, educational level, and age were negative predictors of panic while risk level, pandemic-related knowledge, and objective social support were positive predictors of panic.
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spelling pubmed-79071542021-02-27 Factors Influencing Public Panic During the COVID-19 Pandemic Nie, Xiangtian Feng, Kai Wang, Shengnan Li, Yongxin Front Psychol Psychology The coronavirus disease 2019 (COVID-19) pandemic has been regarded as a public health emergency that caused a considerable degree of public panic (such as anxiety and insomnia) during its early stage. Some irrational behaviors (such as excessive search for information related to the pandemic and excessive hoarding of supplies) were also triggered as a result of such panic. Although there has been plenty of news coverage on public panic due to the outbreak, research on this phenomenon has been limited. Since panic is the main psychological reaction in the early stage of the pandemic, which largely determines the level of psychological adaptation, time of psychological recovery, and the incidence of PTSD, there exists a demand to conduct investigation on it. From a public governance perspective, the government’s assessment of public panic may affect the efficiency and effectiveness of pandemic prevention and control. Therefore, it is of obvious practical significance to investigate public panic during the COVID-19 pandemic and analyze its influential factors. The self-compiled COVID-19 Social Mentality Questionnaire was used to collect data from a total of 16,616 participants online, and 13,511 valid responses were received. The results from the chi-square test showed that there were differences in gender, educational level, age, pandemic-related knowledge, self-efficacy, risk level, and objective social support. Furthermore, multiple linear regression analysis results showed that self-efficacy, gender, educational level, age, risk level, pandemic-related knowledge, and objective social support were significant predictors of public panic. Among the research variables, self-efficacy, gender, educational level, and age were negative predictors of panic while risk level, pandemic-related knowledge, and objective social support were positive predictors of panic. Frontiers Media S.A. 2021-02-12 /pmc/articles/PMC7907154/ /pubmed/33643123 http://dx.doi.org/10.3389/fpsyg.2021.576301 Text en Copyright © 2021 Nie, Feng, Wang and Li. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Nie, Xiangtian
Feng, Kai
Wang, Shengnan
Li, Yongxin
Factors Influencing Public Panic During the COVID-19 Pandemic
title Factors Influencing Public Panic During the COVID-19 Pandemic
title_full Factors Influencing Public Panic During the COVID-19 Pandemic
title_fullStr Factors Influencing Public Panic During the COVID-19 Pandemic
title_full_unstemmed Factors Influencing Public Panic During the COVID-19 Pandemic
title_short Factors Influencing Public Panic During the COVID-19 Pandemic
title_sort factors influencing public panic during the covid-19 pandemic
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7907154/
https://www.ncbi.nlm.nih.gov/pubmed/33643123
http://dx.doi.org/10.3389/fpsyg.2021.576301
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