Literature DB >> 33844637

Knowledge about Coronavirus Disease 2019 among adults in China: A cross-sectional online survey.

Fengyun Yu1, Pascal Geldsetzer2, Anne Meierkord3, Juntao Yang4, Qiushi Chen5, Lirui Jiao6, Nadeem E Abou-Arraj7, An Pan8, Chen Wang9, Till Bärnighausen10, Simiao Chen11.   

Abstract

BACKGROUND: A detailed understanding of the public's knowledge and perceptions of coronavirus disease 2019 (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 8 May 2020 and 8 June 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: 5,079 men and 4,921 women 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. 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. While 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, middle-aged, 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 significant proportion still holds misconceptions or incorrect beliefs about prevention methods and recommended healthcare-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.

Entities:  

Year:  2021        PMID: 33844637     DOI: 10.2196/26940

Source DB:  PubMed          Journal:  J Med Internet Res        ISSN: 1438-8871            Impact factor:   5.428


  7 in total

1.  Prevalence of depression in China during the early stage of the COVID-19 pandemic: a cross-sectional study in an online survey sample.

Authors:  Weina Liu; Fengyun Yu; Pascal Geldsetzer; Juntao Yang; Zhuoran Wang; Todd Golden; Lirui Jiao; Qiushi Chen; Haitao Liu; Peixin Wu; Chen Wang; Till Bärnighausen; Simiao Chen
Journal:  BMJ Open       Date:  2022-03-09       Impact factor: 2.692

Review 2.  The evolution of the human healthcare system and implications for understanding our responses to COVID-19.

Authors:  Sharon E Kessler; Robert Aunger
Journal:  Evol Med Public Health       Date:  2022-02-12

3.  Cross-Verification of COVID-19 Information Obtained From Unofficial Social Media Accounts and Associated Changes in Health Behaviors: Web-Based Questionnaire Study Among Chinese Netizens.

Authors:  Jin Wen; Yuan Zheng; Peiyi Li; Bo Chen; Genevieve Deveaux; Yunmei Luo; Wenjuan Tao; Weimin Li
Journal:  JMIR Public Health Surveill       Date:  2022-05-31

4.  Attitudes Toward the Global Allocation of Chinese COVID-19 Vaccines: Cross-sectional Online Survey of Adults Living in China.

Authors:  Hanzhi Yu; Runming Du; Minmin Wang; Fengyun Yu; Juntao Yang; Till Bärnighausen; Lan Xue; Chen Wang; Shannon McMahon; Pascal Geldsetzer; Simiao Chen; Lirui Jiao; Zhuoran Wang; Haitao Liu; Peixin Wu
Journal:  JMIR Public Health Surveill       Date:  2022-06-07

5.  Gestational diabetes mellitus in the COVID-19 pandemic: A retrospective study from Hangzhou, China.

Authors:  Binbin Yin; Kaiqi Wu; Lingwei Hu; Wanlu Zheng; Yidan Zheng; Xiuzhi Duan; Bo Zhu
Journal:  J Diabetes       Date:  2022-10-01       Impact factor: 4.530

6.  Factors Predicting Progression to Severe COVID-19: A Competing Risk Survival Analysis of 1753 Patients in Community Isolation in Wuhan, China.

Authors:  Simiao Chen; Hui Sun; Mei Heng; Xunliang Tong; Pascal Geldsetzer; Zhuoran Wang; Peixin Wu; Juntao Yang; Yu Hu; Chen Wang; Till Bärnighausen
Journal:  Engineering (Beijing)       Date:  2021-10-23       Impact factor: 12.834

7.  Did the COVID-19 pandemic change the willingness to pay for an early warning system for infectious diseases in Europe?

Authors:  Sebastian Himmler; Job van Exel; Werner Brouwer
Journal:  Eur J Health Econ       Date:  2021-07-20
  7 in total

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