dc.contributor.author |
Li, Yuchen |
dc.contributor.author |
Zeng, Yu |
dc.contributor.author |
Liu, Guangdi |
dc.contributor.author |
Lu, Donghao |
dc.contributor.author |
Yang, Huazhen |
dc.contributor.author |
Ying, Zhiye |
dc.contributor.author |
Hu, Yao |
dc.contributor.author |
Qiu, Jianqing |
dc.contributor.author |
Zhang, Chao |
dc.contributor.author |
Fall, Katja |
dc.contributor.author |
Fang, Fang |
dc.contributor.author |
Valdimarsdóttir, Unnur Anna |
dc.contributor.author |
Zhang, Wei |
dc.contributor.author |
Song, Huan |
dc.date.accessioned |
2022-08-26T01:03:04Z |
dc.date.available |
2022-08-26T01:03:04Z |
dc.date.issued |
2020 |
dc.identifier.citation |
Li , Y , Zeng , Y , Liu , G , Lu , D , Yang , H , Ying , Z , Hu , Y , Qiu , J , Zhang , C , Fall , K , Fang , F , Valdimarsdóttir , U A , Zhang , W & Song , H 2020 , ' Public awareness, emotional reactions and human mobility in response to the COVID-19 outbreak in China- A population-based ecological study ' , Psychological Medicine . https://doi.org/10.1017/S003329172000375X |
dc.identifier.issn |
0033-2917 |
dc.identifier.other |
38463153 |
dc.identifier.other |
b01e04c4-7487-434a-a693-3cdae535d93c |
dc.identifier.other |
85092671051 |
dc.identifier.uri |
https://hdl.handle.net/20.500.11815/3362 |
dc.description |
This work is supported by the West China Hospital COVID-19 Epidemic Science and Technology Project (No. HX-2019-nCoV-014 to Dr Song, No. HX-2019-nCoV-019 to Dr Zhang), Sichuan University Emergency Grant (No. 2020scunCoVyingji1002 to Dr Song, No. 2020scunCoVyingji1005 to Dr Zhang), and Emergency Grant form Science & Technology Department of Sichuan Providence (No. 2020YFS0007 to Dr Zhang). Publisher Copyright: © 2020 Cambridge University Press. All rights reserved. |
dc.description.abstract |
Background: The outbreak of COVID-19 generated severe emotional reactions, and restricted mobility was a crucial measure to reduce the spread of the virus. This study describes the changes in public emotional reactions and mobility patterns in the Chinese population during the COVID-19 outbreak. Methods: We collected data on public emotional reactions in response to the outbreak through Weibo, the Chinese Twitter, between January 1st and March 31st, 2020. Using anonymized location-tracking information, we analyzed the daily mobility patterns of approximately 90% of Sichuan residents. Results: There were three distinct phases of the emotional and behavioral reactions to the COVID-19 outbreak. The alarm phase (January 19th�26th) was a restriction-free period, characterized by few new daily cases, but enormous public negative emotions (the number of negative comments per Weibo post increased by 246.9 per day, 95%CI: 122.5�371.3), and a substantial increase in self-limiting mobility (from 45.6% to 54.5%, changing by 1.5% per day, 95%CI: 0.7%�2.3%). The epidemic phase (January 27th�February 15th) exhibited rapidly increasing numbers of new daily cases, decreasing expression of negative emotions (a decrease of 27.3 negative comments per post per day, 95%CI:-40.4�-14.2), and a stabilized level of self-limiting mobility. The relief phase (February 16th�March 31st) had a steady decline in new daily cases and decreasing levels of negative emotion and self-limiting mobility. Conclusions: During the COVID-19 outbreak in China, the public�s emotional reaction was strongest before the actual peak of the outbreak and declined thereafter. The change in human mobility patterns occurred before the implementation of restriction orders, suggesting a possible link between emotion and behavior. |
dc.format.extent |
800844 |
dc.format.extent |
|
dc.language.iso |
en |
dc.relation.ispartofseries |
Psychological Medicine; () |
dc.rights |
info:eu-repo/semantics/openAccess |
dc.subject |
Awareness |
dc.subject |
China |
dc.subject |
COVID-19 |
dc.subject |
Emotional reaction |
dc.subject |
Human mobility |
dc.subject |
Applied Psychology |
dc.subject |
Psychiatry and Mental Health |
dc.title |
Public awareness, emotional reactions and human mobility in response to the COVID-19 outbreak in China- A population-based ecological study |
dc.type |
/dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/article |
dc.description.version |
Peer reviewed |
dc.identifier.doi |
10.1017/S003329172000375X |
dc.relation.url |
http://www.scopus.com/inward/record.url?scp=85092671051&partnerID=8YFLogxK |
dc.contributor.department |
Faculty of Medicine |