This paper is in the following e-collection/theme issue:

JMIR Theme Issue: COVID-19 Special Issue (2452) Outbreak and Pandemic Preparedness and Management (1727) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517)

Published on in Vol 22, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21099, first published .
Health Perceptions and Misconceptions Regarding COVID-19 in China: Online Survey Study

Health Perceptions and Misconceptions Regarding COVID-19 in China: Online Survey Study

Health Perceptions and Misconceptions Regarding COVID-19 in China: Online Survey Study

Authors of this article:

Jiawei Zhou1 Author Orcid Image ;   Bishwajit Ghose2 Author Orcid Image ;   Ruoxi Wang1 Author Orcid Image ;   Ruijun Wu3 Author Orcid Image ;   Zhifei Li3 Author Orcid Image ;   Rui Huang2 Author Orcid Image ;   Da Feng2 Author Orcid Image ;   Zhanchun Feng1 Author Orcid Image ;   Shangfeng Tang1 Author Orcid Image
Article Authors Cited by (28) Tweetations (3) Metrics

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  11. GÜN KAKAŞÇI Ç, DURMAZ A. EVALUATION OF BELIEF IN COVID-19 MYTHS AND LEVELS OF COVID-19 ANXIETY AND PERCEPTION OF HEALTH IN PREGNANCY. Karya Journal of Health Science 2022;3(2):93 View
  12. Ge P, Liu J, Han X, Wei S, He X, Tang Y, Xu X, Wang S, Bian Y, Wu Y. Systematic evaluation of COVID-19 related Internet health rumors during the breaking out period of COVID-19 in China. Health Promotion Perspectives 2021;11(3):288 View
  13. Li M, Peng H, Duan G, Wang J, Yu Z, Zhang Z, Wu L, Du M, Zhou S. Older age and depressive state are risk factors for re-positivity with SARS-CoV-2 Omicron variant. Frontiers in Public Health 2022;10 View
  14. Marcassoli A, Leonardi M, Passavanti M, De Angelis V, Bentivegna E, Martelletti P, Raggi A. Lessons Learned from the Lessons Learned in Public Health during the First Years of COVID-19 Pandemic. International Journal of Environmental Research and Public Health 2023;20(3):1785 View
  15. Osawa I, Goto T, Tabuchi T, Koga H, Tsugawa Y. Machine-learning approaches to identify determining factors of happiness during the COVID-19 pandemic: retrospective cohort study. BMJ Open 2022;12(12):e054862 View
  16. Li J, Chen Y, Zhao X, Yang X, Wang F. COVID-19 vaccine-related misinformation identification among Chinese residents during a regional outbreak. Frontiers in Public Health 2023;11 View
  17. Ceñera Fernández J, González Esteban L, Moure García C, Cernuda Martínez J. Conocimientos sobre COVID-19 en población general adulta tras dos años de pandemia. Global Health Promotion 2024;31(1):111 View
  18. Chen G, Zhang J. Understanding Chinese authoritative experts and their roles in China's COVID‐19 policy response process: A combined perspective of institutional and multiple‐streams framework. Review of Policy Research 2024;41(5):770 View
  19. Korkmaz Aslan T, Cantekin I, Burucu R, Akdoğan Y. Health Perceptions and Vaccination Complications in People Over 65 Years of Age Who Have Received the Covid-19 Vaccine; A Descriptive Study. Ageing International 2024;49(2):390 View
  20. Deng J, Fang Y, Wang Q, Tian Y, Wang S, Yang Y, Yang D, Li S. Meta-analysis of KAP toward COVID-19 in Chinese residents. Frontiers in Public Health 2024;12 View
  21. Wang Z, Zhou Z, Liu G, Lu J, Zhai X, Fan X, Lai S, Wang Y. Restricted health service utilization and subsequent positive self-care behavior during the early COVID-19 pandemic in China. Frontiers in Public Health 2024;12 View
  22. Yang M, Huang W, Shen M, Du J, Wang L, Zhang Y, Xia Q, Yang J, Fu Y, Mao Q, Pan M, Huangfu Z, Wang F, Zhu W. Qualitative research on undergraduate nursing students' recognition and response to short videos’ health disinformation. Heliyon 2024;10(15):e35455 View
  23. Datta N. Stem Cell Therapy for SARS-CoV-2 and Influenza Virus Infections. BIO Integration 2024;5(1) View
  24. Danaei Mehrabad S, Panahi S, Sedghi S, Aryankhesal A. Information and health literacy policies during pandemics: A narrative review. Health Information & Libraries Journal 2024;41(3):216 View

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