Literature DB >> 29854148

Understanding the Patterns of Health Information Dissemination on Social Media during the Zika Outbreak.

Xinning Gui1, Yue Wang2, Yubo Kou3, Tera Leigh Reynolds1, Yunan Chen1, Qiaozhu Mei2, Kai Zheng1.   

Abstract

Social media are important platforms for risk communication during public health crises. Effective dissemination of accurate, relevant, and up-to-date health information is important for the public to raise awareness and develop risk management strategies. This study investigates Zika virus-related information circulated on Twitter, identifying the patterns of dissemination of popular tweets and tweets from public health authorities such as the CDC. We leveraged a large corpus of Twitter data covering the entire year of 2016. We analyzed the data using quantitative and qualitative content analyses, followed by machine learning to scale the manual content analyses to the corpus. The results revealed possible discrepancies between what the general public was most interested in, or concerned about, and what public health authorities provided during the Zika outbreak. We provide implications for public health authorities to improve risk communication through better alignment with the general public's information needs during public health crises.

Entities:  

Mesh:

Year:  2018        PMID: 29854148      PMCID: PMC5977662     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  13 in total

1.  Building trust through social media. CDC's experience during the H1N1 influenza response.

Authors:  Barbara J Reynolds
Journal:  Mark Health Serv       Date:  2010

2.  Tweeting as Health Communication: Health Organizations' Use of Twitter for Health Promotion and Public Engagement.

Authors:  Hyojung Park; Bryan H Reber; Myoung-Gi Chon
Journal:  J Health Commun       Date:  2015-12-30

Review 3.  Risk communication for public health emergencies.

Authors:  Deborah C Glik
Journal:  Annu Rev Public Health       Date:  2007       Impact factor: 21.981

4.  To tweet or to retweet? That is the question for health professionals on twitter.

Authors:  Ji Young Lee; S Shyam Sundar
Journal:  Health Commun       Date:  2012-08-08

5.  Pandemics in the age of Twitter: content analysis of Tweets during the 2009 H1N1 outbreak.

Authors:  Cynthia Chew; Gunther Eysenbach
Journal:  PLoS One       Date:  2010-11-29       Impact factor: 3.240

6.  Infodemiology and infoveillance: framework for an emerging set of public health informatics methods to analyze search, communication and publication behavior on the Internet.

Authors:  Gunther Eysenbach
Journal:  J Med Internet Res       Date:  2009-03-27       Impact factor: 5.428

7.  Patients' use of the Internet for pain-related medical information.

Authors:  Maaike J de Boer; Gerbrig J Versteegen; Marten van Wijhe
Journal:  Patient Educ Couns       Date:  2007-06-27

8.  The use of Twitter to track levels of disease activity and public concern in the U.S. during the influenza A H1N1 pandemic.

Authors:  Alessio Signorini; Alberto Maria Segre; Philip M Polgreen
Journal:  PLoS One       Date:  2011-05-04       Impact factor: 3.240

9.  Social media use in the United States: implications for health communication.

Authors:  Wen-ying Sylvia Chou; Yvonne M Hunt; Ellen Burke Beckjord; Richard P Moser; Bradford W Hesse
Journal:  J Med Internet Res       Date:  2009-11-27       Impact factor: 5.428

10.  Misleading health-related information promoted through video-based social media: anorexia on YouTube.

Authors:  Shabbir Syed-Abdul; Luis Fernandez-Luque; Wen-Shan Jian; Yu-Chuan Li; Steven Crain; Min-Huei Hsu; Yao-Chin Wang; Dorjsuren Khandregzen; Enkhzaya Chuluunbaatar; Phung Anh Nguyen; Der-Ming Liou
Journal:  J Med Internet Res       Date:  2013-02-13       Impact factor: 5.428

View more
  7 in total

1.  Microblog data analysis of emotional reactions to COVID-19 in China.

Authors:  Yuchang Jin; Aoxue Yan; Tengwei Sun; Peixuan Zheng; Junxiu An
Journal:  J Psychosom Res       Date:  2022-06-30       Impact factor: 4.620

Review 2.  Digital Marketing: A Unique Multidisciplinary Approach towards the Elimination of Viral Hepatitis.

Authors:  Mohammadreza Pourkarim; Shahnaz Nayebzadeh; Seyed Moayed Alavian; Seyyed Hassan Hataminasab
Journal:  Pathogens       Date:  2022-05-29

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

Authors:  Chunmei Huang; Xinjie Xu; Yuyang Cai; Qinmin Ge; Guangwang Zeng; Xiaopan Li; Weide Zhang; Chen Ji; Ling Yang
Journal:  J Med Internet Res       Date:  2020-05-17       Impact factor: 5.428

4.  Chinese Public's Attention to the COVID-19 Epidemic on Social Media: Observational Descriptive Study.

Authors:  Yuxin Zhao; Sixiang Cheng; Xiaoyan Yu; Huilan Xu
Journal:  J Med Internet Res       Date:  2020-05-04       Impact factor: 5.428

5.  Sentiment analysis of COVID-19 social media data through machine learning.

Authors:  Dharmendra Dangi; Dheeraj K Dixit; Amit Bhagat
Journal:  Multimed Tools Appl       Date:  2022-07-25       Impact factor: 2.577

Review 6.  Utility of Artificial Intelligence Amidst the COVID 19 Pandemic: A Review.

Authors:  Agam Bansal; Rana Prathap Padappayil; Chandan Garg; Anjali Singal; Mohak Gupta; Allan Klein
Journal:  J Med Syst       Date:  2020-08-01       Impact factor: 4.460

7.  Grappling With the COVID-19 Health Crisis: Content Analysis of Communication Strategies and Their Effects on Public Engagement on Social Media.

Authors:  Cindy Sing Bik Ngai; Rita Gill Singh; Wenze Lu; Alex Chun Koon
Journal:  J Med Internet Res       Date:  2020-08-24       Impact factor: 5.428

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.