Accepted for/Published in: Journal of Medical Internet Research
Date Submitted: Mar 22, 2020
Date Accepted: Jun 13, 2020
Date Submitted to PubMed: Jun 16, 2020
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Public Health Emergency, Health Literacy and Social Panic by Mapping of COVID-19 Based on the Web Search Data
ABSTRACT
Abstract COVID-19, is a pneumonia caused by novel cornonavirus in 2019. As of March 17, 2020, Beijing time, 81163 cases were confirmed and 3231 cases died in China. Since the outbreak of COVID-19, the Chinese public has been very concerned about it. People search and browse the COVID-2019 related information through Baidu search engine for an average of more than 1 billion people a day. Under the epidemic situation, web searches reflect the changes of prevention and control policies, and also reflect the public's health literacy in public health emergencies.
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