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Measures Undertaken in China to Avoid COVID-19 Infection: Internet-Based, Cross-Sectional Survey Study
BACKGROUND: In early 2020, over 80,000 cases of coronavirus disease (COVID-19) were confirmed in China. Public prevention and control measures, along with efforts from all sectors of society, were undertaken to control and eliminate disease transmission. OBJECTIVE: This paper describes Chinese citiz...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7219722/ https://www.ncbi.nlm.nih.gov/pubmed/32396516 http://dx.doi.org/10.2196/18718 |
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author | Huang, Yu Wu, Qingqing Wang, Ping Xu, Yan Wang, Lei Zhao, Yusui Yao, Dingming Xu, Yue Lv, Qiaohong Xu, Shuiyang |
author_facet | Huang, Yu Wu, Qingqing Wang, Ping Xu, Yan Wang, Lei Zhao, Yusui Yao, Dingming Xu, Yue Lv, Qiaohong Xu, Shuiyang |
author_sort | Huang, Yu |
collection | PubMed |
description | BACKGROUND: In early 2020, over 80,000 cases of coronavirus disease (COVID-19) were confirmed in China. Public prevention and control measures, along with efforts from all sectors of society, were undertaken to control and eliminate disease transmission. OBJECTIVE: This paper describes Chinese citizens’ response to the epidemic, the preventive measures they implemented to avoid being infected, and the public strategies that were carried out by the government, health workers, etc. We also discuss the efficacy of these measures in controlling the epidemic in China. METHODS: Information on the responses and behaviors of Chinese citizens were collected through a cross-sectional, internet-based survey using Dingxiang Doctor’s public account on WeChat. Information on public strategies implemented by all sectors of society to control the epidemic and data on new COVID-19 cases were collected from the internet, mainly from government websites. Standard descriptive statistics and multivariate logistic regression analyses were conducted to analyze the data. RESULTS: A total of 10,304 participants responded to the survey, with 10,198 valid responses; 74.1% (n=7557) were female and 25.9% (n=2641) were male. Overall, 98.2% (n=10,013) of participants paid high or very high attention to the epidemic, with WeChat being their main information source (n=9400, 92.2%). Over half the participants (n=5878, 57.7%) were confident that the epidemic could be curbed in China; 92.4% (n=9427) opened windows for ventilation more frequently than usual; 97.9% (n=9986) used masks in public; 95.7% (n=9759) avoided large crowds and stayed at home as much as possible; and 97.9% (n=9988) washed their hands more often than usual. Women were more likely to practice these behaviors than men (P<.001). With a series of strict public control measures, like nationwide health education campaigns, holiday extensions, the Examine and Approve Policy on the resumption of work, close management of working and living quarters, a health QR (Quick Response) code system, community screening, and social distancing policies, the number of new cases have decreased dramatically since February 12, 2020. CONCLUSIONS: The methods employed by Chinese citizens and authorities have effectively curtailed the spread of COVID-19, demonstrating that this pandemic can be brought under control as long as the right measures are taken. |
format | Online Article Text |
id | pubmed-7219722 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-72197222020-05-18 Measures Undertaken in China to Avoid COVID-19 Infection: Internet-Based, Cross-Sectional Survey Study Huang, Yu Wu, Qingqing Wang, Ping Xu, Yan Wang, Lei Zhao, Yusui Yao, Dingming Xu, Yue Lv, Qiaohong Xu, Shuiyang J Med Internet Res Original Paper BACKGROUND: In early 2020, over 80,000 cases of coronavirus disease (COVID-19) were confirmed in China. Public prevention and control measures, along with efforts from all sectors of society, were undertaken to control and eliminate disease transmission. OBJECTIVE: This paper describes Chinese citizens’ response to the epidemic, the preventive measures they implemented to avoid being infected, and the public strategies that were carried out by the government, health workers, etc. We also discuss the efficacy of these measures in controlling the epidemic in China. METHODS: Information on the responses and behaviors of Chinese citizens were collected through a cross-sectional, internet-based survey using Dingxiang Doctor’s public account on WeChat. Information on public strategies implemented by all sectors of society to control the epidemic and data on new COVID-19 cases were collected from the internet, mainly from government websites. Standard descriptive statistics and multivariate logistic regression analyses were conducted to analyze the data. RESULTS: A total of 10,304 participants responded to the survey, with 10,198 valid responses; 74.1% (n=7557) were female and 25.9% (n=2641) were male. Overall, 98.2% (n=10,013) of participants paid high or very high attention to the epidemic, with WeChat being their main information source (n=9400, 92.2%). Over half the participants (n=5878, 57.7%) were confident that the epidemic could be curbed in China; 92.4% (n=9427) opened windows for ventilation more frequently than usual; 97.9% (n=9986) used masks in public; 95.7% (n=9759) avoided large crowds and stayed at home as much as possible; and 97.9% (n=9988) washed their hands more often than usual. Women were more likely to practice these behaviors than men (P<.001). With a series of strict public control measures, like nationwide health education campaigns, holiday extensions, the Examine and Approve Policy on the resumption of work, close management of working and living quarters, a health QR (Quick Response) code system, community screening, and social distancing policies, the number of new cases have decreased dramatically since February 12, 2020. CONCLUSIONS: The methods employed by Chinese citizens and authorities have effectively curtailed the spread of COVID-19, demonstrating that this pandemic can be brought under control as long as the right measures are taken. JMIR Publications 2020-05-12 /pmc/articles/PMC7219722/ /pubmed/32396516 http://dx.doi.org/10.2196/18718 Text en ©Yu Huang, Qingqing Wu, Ping Wang, Yan Xu, Lei Wang, Yusui Zhao, Dingming Yao, Yue Xu, Qiaohong Lv, Shuiyang Xu. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 12.05.2020. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Huang, Yu Wu, Qingqing Wang, Ping Xu, Yan Wang, Lei Zhao, Yusui Yao, Dingming Xu, Yue Lv, Qiaohong Xu, Shuiyang Measures Undertaken in China to Avoid COVID-19 Infection: Internet-Based, Cross-Sectional Survey Study |
title | Measures Undertaken in China to Avoid COVID-19 Infection: Internet-Based, Cross-Sectional Survey Study |
title_full | Measures Undertaken in China to Avoid COVID-19 Infection: Internet-Based, Cross-Sectional Survey Study |
title_fullStr | Measures Undertaken in China to Avoid COVID-19 Infection: Internet-Based, Cross-Sectional Survey Study |
title_full_unstemmed | Measures Undertaken in China to Avoid COVID-19 Infection: Internet-Based, Cross-Sectional Survey Study |
title_short | Measures Undertaken in China to Avoid COVID-19 Infection: Internet-Based, Cross-Sectional Survey Study |
title_sort | measures undertaken in china to avoid covid-19 infection: internet-based, cross-sectional survey study |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7219722/ https://www.ncbi.nlm.nih.gov/pubmed/32396516 http://dx.doi.org/10.2196/18718 |
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