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Online Health Information Seeking Using "#COVID-19 Patient Seeking Help" on Weibo in Wuhan, China: Descriptive Study.

作者信息

Zhao Xiaoman, Fan Ju, Basnyat Iccha, Hu Baijing

机构信息

Research Center of Journalism and Social Development, Renmin University of China, Beijing, China.

School of Journalism and Communication, Renmin University of China, Beijing, China.

出版信息

J Med Internet Res. 2020 Oct 15;22(10):e22910. doi: 10.2196/22910.


DOI:10.2196/22910
PMID:33001838
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7572118/
Abstract

BACKGROUND: First detected in Wuhan, China in December 2019, the COVID-19 pandemic stretched the medical system in Wuhan and posed a challenge to the state's risk communication efforts. Timely access to quality health care information during outbreaks of infectious diseases can be effective to curtail the spread of disease and feelings of anxiety. Although existing studies have extended our knowledge about online health information-seeking behavior, processes, and motivations, rarely have the findings been applied to an outbreak. Moreover, there is relatively little recent research on how people in China are using the internet for seeking health information during a pandemic. OBJECTIVE: The aim of this study is to explore how people in China are using the internet for seeking health information during a pandemic. Drawing on previous research of online health information seeking, this study asks the following research questions: how was the "#COVID-19 Patient Seeking Help" hashtag being used by patients in Wuhan seeking health information on Weibo at the peak of the outbreak? and what kinds of health information were patients in Wuhan seeking on Weibo at the peak of the outbreak? METHODS: Using entity identification and textual analysis on 10,908 posts on Weibo, we identified 1496 patients with COVID-19 using "#COVID-19 Patient Seeking Help" and explored their online health information-seeking behavior. RESULTS: The curve of the hashtag posting provided a dynamic picture of public attention to the COVID-19 pandemic. Many patients faced difficulties accessing offline health care services. In general, our findings confirmed that the internet is used by the Chinese public as an important source of health information. The lockdown policy was found to cut off the patients' social support network, preventing them from seeking help from family members. The ability to seek information and help online, especially for those with young children or older adult members during the pandemic. A high proportion of female users were seeking health information and help for their parents or for older adults at home. The most searched information included accessing medical treatment, managing self-quarantine, and offline to online support. CONCLUSIONS: Overall, the findings contribute to our understanding of health information-seeking behaviors during an outbreak and highlight the importance of paying attention to the information needs of vulnerable groups and the role social media may play.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af5c/7572118/5be33fc735f3/jmir_v22i10e22910_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af5c/7572118/e885d1501796/jmir_v22i10e22910_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af5c/7572118/5767e549a131/jmir_v22i10e22910_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af5c/7572118/47269e2d49d3/jmir_v22i10e22910_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af5c/7572118/5be33fc735f3/jmir_v22i10e22910_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af5c/7572118/e885d1501796/jmir_v22i10e22910_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af5c/7572118/5767e549a131/jmir_v22i10e22910_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af5c/7572118/47269e2d49d3/jmir_v22i10e22910_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af5c/7572118/5be33fc735f3/jmir_v22i10e22910_fig4.jpg

相似文献

[1]
Online Health Information Seeking Using "#COVID-19 Patient Seeking Help" on Weibo in Wuhan, China: Descriptive Study.

J Med Internet Res. 2020-10-15

[2]
Mining the Characteristics of COVID-19 Patients in China: Analysis of Social Media Posts.

J Med Internet Res. 2020-5-17

[3]
Data Mining and Content Analysis of the Chinese Social Media Platform Weibo During the Early COVID-19 Outbreak: Retrospective Observational Infoveillance Study.

JMIR Public Health Surveill. 2020-4-21

[4]
Public Engagement and Government Responsiveness in the Communications About COVID-19 During the Early Epidemic Stage in China: Infodemiology Study on Social Media Data.

J Med Internet Res. 2020-5-26

[5]
Online Information Exchange and Anxiety Spread in the Early Stage of the Novel Coronavirus (COVID-19) Outbreak in South Korea: Structural Topic Model and Network Analysis.

J Med Internet Res. 2020-6-2

[6]
Online information and support seeking during COVID-19 lockdown in Wuhan: implications for health promotion.

Health Promot Int. 2022-6-1

[7]
Using Reports of Symptoms and Diagnoses on Social Media to Predict COVID-19 Case Counts in Mainland China: Observational Infoveillance Study.

J Med Internet Res. 2020-5-28

[8]
Effects of Internet Hospital Consultations on Psychological Burdens and Disease Knowledge During the Early Outbreak of COVID-19 in China: Cross-Sectional Survey Study.

J Med Internet Res. 2020-8-4

[9]
Concerns Expressed by Chinese Social Media Users During the COVID-19 Pandemic: Content Analysis of Sina Weibo Microblogging Data.

J Med Internet Res. 2020-11-26

[10]
Use of Rapid Online Surveys to Assess People's Perceptions During Infectious Disease Outbreaks: A Cross-sectional Survey on COVID-19.

J Med Internet Res. 2020-4-2

引用本文的文献

[1]
Exploring the impact of discharged patients' characteristics on online health information-seeking behaviors: insights from patients' dilemmas.

Front Psychol. 2025-2-24

[2]
The relationship between e-Health literacy and cyberchondria in Iranian students of health sciences.

Front Psychiatry. 2025-2-13

[3]
A Model of Trust in Online COVID-19 Information and Advice: Cross-Sectional Questionnaire Study.

JMIR Infodemiology. 2025-2-13

[4]
Understanding the Impact of Communicating Uncertainty About COVID-19 in the News: Randomized Between-Subjects Factorial Experiment.

J Med Internet Res. 2024-5-14

[5]
A multidimensional comparative study of help-seeking messages on Weibo under different stages of COVID-19 pandemic in China.

Front Public Health. 2024

[6]
The role of social media in public health crises caused by infectious disease: a scoping review.

BMJ Glob Health. 2023-12-28

[7]
Structural Validation and Measurement Invariance Testing of the Chinese Version of the eHealth Literacy Scale Among Undergraduates: Cross-Sectional Study.

J Med Internet Res. 2023-12-13

[8]
Digital Medical Information Services Delivered by Pharmaceutical Companies via WeChat: Qualitative Analytical Study.

J Med Internet Res. 2023-11-17

[9]
Internet use, cardiometabolic multimorbidity, and death in older adults: a multi-cohort study spanning developing and developed countries.

Global Health. 2023-11-6

[10]
Predicting and Empowering Health for Generation Z by Comparing Health Information Seeking and Digital Health Literacy: Cross-Sectional Questionnaire Study.

J Med Internet Res. 2023-10-30

本文引用的文献

[1]
Sustainable COVID-19 Mitigation: Wuhan Lockdowns, Health Inequities, and Patient Evacuation.

Int J Health Policy Manag. 2020-10-1

[2]
Says who? The significance of sampling in mental health surveys during COVID-19.

Lancet Psychiatry. 2020-7

[3]
Information resource orchestration during the COVID-19 pandemic: A study of community lockdowns in China.

Int J Inf Manage. 2020-10

[4]
Fangcang shelter hospitals: a novel concept for responding to public health emergencies.

Lancet. 2020-4-2

[5]
An investigation of transmission control measures during the first 50 days of the COVID-19 epidemic in China.

Science. 2020-3-31

[6]
Novel coronavirus: how things are in Wuhan.

Clin Microbiol Infect. 2020-4

[7]
Examining income-related inequality in health literacy and health-information seeking among urban population in China.

BMC Public Health. 2019-2-21

[8]
Pathway Linking Internet Health Information Seeking to Better Health: A Moderated Mediation Study.

Health Commun. 2016-7-27

[9]
Modeling Online Health Information-Seeking Behavior in China: The Roles of Source Characteristics, Reward Assessment, and Internet Self-Efficacy.

Health Commun. 2016-9

[10]
Consumer Use of "Dr Google": A Survey on Health Information-Seeking Behaviors and Navigational Needs.

J Med Internet Res. 2015-12-29

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