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Knowledge About COVID-19 Among Adults in China: Cross-sectional Online Survey

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单位: [1]Department of Industrial Engineering, Tsinghua University, Beijing, China [2]Heidelberg Institute of Global Health, Faculty of Medicine and University Hospital, Heidelberg University, Heidelberg, Germany [3]Division of Primary Care and Population Health, Department of Medicine, Stanford University School of Medicine, Stanford, CA, United States [4]Faculty of Medicine, University of Southampton, Southampton, United Kingdom [5]State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China [6]The Harold and Inge Marcus Department of Industrial and Manufacturing Engineering, The Pennsylvania State University, University Park, PA, United States [7]Reed College, Portland, OR, United States [8]Department of Medicine, Stanford University School of Medicine, Stanford, CA, United States [9]School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China [10]Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China [11]National Clinical Research Center for Respiratory Diseases, Beijing, China [12]Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China–Japan Friendship Hospital, Beijing, China
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DOI: 10.2196/26940
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关键词: COVID-19 knowledge perception risk public health China cross-sectional survey

摘要:
Background: A detailed understanding of the public's knowledge and perceptions of COVID-19 could inform governments' public health actions in response to the pandemic. Objective: The aim of this study was to determine the knowledge and perceptions of COVID-19 among adults in China and its variation among provinces and by sociodemographic characteristics. Methods: Between May 8 and June 8, 2020, we conducted a cross-sectional online survey among adults in China who were registered with the private survey company KuRunData. We set a target sample size of 10,000 adults, aiming to sample 300-360 adults from each province in China. Participants were asked 25 questions that tested their knowledge about COVID-19, including measures to prevent infection, common symptoms, and recommended care-seeking behavior. We disaggregated responses by age; sex; education; province; household income; rural-urban residency; and whether or not a participant had a family member, friend, or acquaintance who they know to have been infected with SARS-CoV-2. All analyses used survey sampling weights. Results: There were 5079 men and 4921 women who completed the questionnaire and were included in the analysis. Out of 25 knowledge questions, participants answered a mean and median of 21.4 (95% CI 21.3-21.4) and 22 (IQR 20-23) questions correctly, respectively. A total of 83.4% (95% CI 82.7%-84.1%) of participants answered four-fifths or more of the questions correctly. For at least one of four ineffective prevention measures (using a hand dryer, regular nasal irrigation, gargling mouthwash, and taking antibiotics), 68.9% (95% CI 68.0%-69.8%) of participants answered that it was an effective method to prevent a SARS-CoV-2 infection. Although knowledge overall was similar across provinces, the percent of participants who answered the question on recommended care-seeking behavior correctly varied from 47.0% (95% CI 41.4%-52.7%) in Tibet to 87.5% (95% CI 84.1%-91.0%) in Beijing. Within provinces, participants who were male, were middle-aged, were residing in urban areas, and had higher household income tended to answer a higher proportion of the knowledge questions correctly. Conclusions: This online study of individuals across China suggests that the majority of the population has good knowledge of COVID-19. However, a substantial proportion still holds misconceptions or incorrect beliefs about prevention methods and recommended health care-seeking behaviors, especially in rural areas and some less wealthy provinces in Western China. This study can inform the development of tailored public health policies and promotion campaigns by identifying knowledge areas for which misconceptions are comparatively common and provinces that have relatively low knowledge.

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出版当年[2020]版:
大类 | 2 区 医学
小类 | 1 区 医学:信息 2 区 卫生保健与服务
最新[2025]版:
大类 | 2 区 医学
小类 | 2 区 卫生保健与服务 2 区 医学:信息
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出版当年[2019]版:
Q1 HEALTH CARE SCIENCES & SERVICES Q1 MEDICAL INFORMATICS
最新[2023]版:
Q1 HEALTH CARE SCIENCES & SERVICES Q1 MEDICAL INFORMATICS

影响因子: 最新[2023版] 最新五年平均[2021-2025] 出版当年[2019版] 出版当年五年平均[2015-2019] 出版前一年[2018版] 出版后一年[2020版]

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第一作者单位: [1]Department of Industrial Engineering, Tsinghua University, Beijing, China [2]Heidelberg Institute of Global Health, Faculty of Medicine and University Hospital, Heidelberg University, Heidelberg, Germany
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通讯作者:
通讯机构: [2]Heidelberg Institute of Global Health, Faculty of Medicine and University Hospital, Heidelberg University, Heidelberg, Germany [10]Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China [*1]Heidelberg Institute of Global Health Faculty of Medicine and University Hospital Heidelberg University Im Neuenheimer Feld 130.3 Heidelberg Germany
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