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Public psychological distance and spatial distribution characteristics during the COVID-19 pandemic: a Chinese context
The COVID-19 pandemic is a public health emergency, which continues to have a significant impact on the functioning of society and the public’s daily life. From the perspective of psychological distance (PD), this study used descriptive, differential, and spatial autocorrelation analysis methods to...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8214391/ https://www.ncbi.nlm.nih.gov/pubmed/34177207 http://dx.doi.org/10.1007/s12144-021-01861-x |
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author | Wu, Meifen Long, Ruyin Chen, Hong |
author_facet | Wu, Meifen Long, Ruyin Chen, Hong |
author_sort | Wu, Meifen |
collection | PubMed |
description | The COVID-19 pandemic is a public health emergency, which continues to have a significant impact on the functioning of society and the public’s daily life. From the perspective of psychological distance (PD), this study used descriptive, differential, and spatial autocorrelation analysis methods to explore the cognitive distance, emotional distance, expected distance and behavioral distance of the Chinese public in relation to the COVID-19 pandemic. An analysis of 4042 valid sample data found that: (1) The event emotional distance and subject emotional distance were both furthest from the event and subject psychological distance dimensions, and anger about the event was the strongest. (2) The government was the most appealing subject in the process of pandemic prevention and control, but at the same time, the public’s sense of closeness to the government was also lower than that of the other three subjects, e.g., medical institutions. (3) Different pandemic regions showed significant differences in PD. Mean scores of PD in each risk region were as follows: High-risk regions > medium-risk regions > low-risk regions. (4) From a global perspective, no spatial autocorrelation was found in PD. However, from a local perspective, high-value regions (provinces with distant PD) are mainly concentrated in the southern regions (Guizhou, Guangxi, Hainan, Jiangxi), and low-value regions (provinces with close PD) are mainly concentrated in North China (Shanxi, Hebei, Beijing). Combined with the relevant conclusions, this paper put forward policy recommendations. |
format | Online Article Text |
id | pubmed-8214391 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-82143912021-06-21 Public psychological distance and spatial distribution characteristics during the COVID-19 pandemic: a Chinese context Wu, Meifen Long, Ruyin Chen, Hong Curr Psychol Article The COVID-19 pandemic is a public health emergency, which continues to have a significant impact on the functioning of society and the public’s daily life. From the perspective of psychological distance (PD), this study used descriptive, differential, and spatial autocorrelation analysis methods to explore the cognitive distance, emotional distance, expected distance and behavioral distance of the Chinese public in relation to the COVID-19 pandemic. An analysis of 4042 valid sample data found that: (1) The event emotional distance and subject emotional distance were both furthest from the event and subject psychological distance dimensions, and anger about the event was the strongest. (2) The government was the most appealing subject in the process of pandemic prevention and control, but at the same time, the public’s sense of closeness to the government was also lower than that of the other three subjects, e.g., medical institutions. (3) Different pandemic regions showed significant differences in PD. Mean scores of PD in each risk region were as follows: High-risk regions > medium-risk regions > low-risk regions. (4) From a global perspective, no spatial autocorrelation was found in PD. However, from a local perspective, high-value regions (provinces with distant PD) are mainly concentrated in the southern regions (Guizhou, Guangxi, Hainan, Jiangxi), and low-value regions (provinces with close PD) are mainly concentrated in North China (Shanxi, Hebei, Beijing). Combined with the relevant conclusions, this paper put forward policy recommendations. Springer US 2021-06-19 2022 /pmc/articles/PMC8214391/ /pubmed/34177207 http://dx.doi.org/10.1007/s12144-021-01861-x Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Wu, Meifen Long, Ruyin Chen, Hong Public psychological distance and spatial distribution characteristics during the COVID-19 pandemic: a Chinese context |
title | Public psychological distance and spatial distribution characteristics during the COVID-19 pandemic: a Chinese context |
title_full | Public psychological distance and spatial distribution characteristics during the COVID-19 pandemic: a Chinese context |
title_fullStr | Public psychological distance and spatial distribution characteristics during the COVID-19 pandemic: a Chinese context |
title_full_unstemmed | Public psychological distance and spatial distribution characteristics during the COVID-19 pandemic: a Chinese context |
title_short | Public psychological distance and spatial distribution characteristics during the COVID-19 pandemic: a Chinese context |
title_sort | public psychological distance and spatial distribution characteristics during the covid-19 pandemic: a chinese context |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8214391/ https://www.ncbi.nlm.nih.gov/pubmed/34177207 http://dx.doi.org/10.1007/s12144-021-01861-x |
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