Literature DB >> 26306219

Leveraging social networking sites for disease surveillance and public sensing: the case of the 2013 avian influenza A(H7N9) outbreak in China.

Emma Xuxiao Zhang1, Yinping Yang2, Richard Di Shang3, Joseph John Pyne Simons4, Boon Kiat Quek4, Xiao Feng Yin4, Wanhan See5, Olivia Seen Huey Oh5, Khine Sein Tun Nandar5, Vivienne Ruo Yun Ling5, Pei Pei Chan5, Zhaoxia Wang4, Rick Siow Mong Goh4, Lyn James5, Jeannie Su Hui Tey5.   

Abstract

We conducted in-depth analysis on the use of a popular Chinese social networking and microblogging site, Sina Weibo, to monitor an avian influenza A(H7N9) outbreak in China and to assess the value of social networking sites in the surveillance of disease outbreaks that occur overseas. Two data sets were employed for our analysis: a line listing of confirmed cases obtained from conventional public health information channels and case information from Weibo posts. Our findings showed that the level of activity on Weibo corresponded with the number of new cases reported. In addition, the reporting of new cases on Weibo was significantly faster than those of conventional reporting sites and non-local news media. A qualitative review of the functions of Weibo also revealed that Weibo enabled timely monitoring of other outbreak-relevant information, provided access to additional crowd-sourced epidemiological information and was leveraged by the local government as an interactive platform for risk communication and monitoring public sentiment on the policy response. Our analysis demonstrated the potential for social networking sites to be used by public health agencies to enhance traditional communicable disease surveillance systems for the global surveillance of overseas public health threats. Social networking sites also can be used by governments for calibration of response policies and measures and for risk communication.

Entities:  

Mesh:

Year:  2015        PMID: 26306219      PMCID: PMC4542489          DOI: 10.5365/WPSAR.2015.6.1.013

Source DB:  PubMed          Journal:  Western Pac Surveill Response J        ISSN: 2094-7321


  7 in total

1.  Global concerns regarding novel influenza A (H7N9) virus infections.

Authors:  Timothy M Uyeki; Nancy J Cox
Journal:  N Engl J Med       Date:  2013-04-11       Impact factor: 91.245

2.  Possible pandemic threat from new reassortment of influenza A(H7N9) virus in China.

Authors:  Z Meng; R Han; Y Hu; Z Yuan; S Jiang; X Zhang; J Xu
Journal:  Euro Surveill       Date:  2014-02-13

3.  Efficient use of social media during the avian influenza A(H7N9) emergency response.

Authors:  Isaac Chun-Hai Fung; Karen Wong
Journal:  Western Pac Surveill Response J       Date:  2013-10-31

4.  Influenza A (H7N9) and the importance of digital epidemiology.

Authors:  Marcel Salathé; Clark C Freifeld; Sumiko R Mekaru; Anna F Tomasulo; John S Brownstein
Journal:  N Engl J Med       Date:  2013-07-03       Impact factor: 91.245

5.  Epidemiology of human infections with avian influenza A(H7N9) virus in China.

Authors:  Qun Li; Lei Zhou; Minghao Zhou; Zhiping Chen; Furong Li; Huanyu Wu; Nijuan Xiang; Enfu Chen; Fenyang Tang; Dayan Wang; Ling Meng; Zhiheng Hong; Wenxiao Tu; Yang Cao; Leilei Li; Fan Ding; Bo Liu; Mei Wang; Rongheng Xie; Rongbao Gao; Xiaodan Li; Tian Bai; Shumei Zou; Jun He; Jiayu Hu; Yangting Xu; Chengliang Chai; Shiwen Wang; Yongjun Gao; Lianmei Jin; Yanping Zhang; Huiming Luo; Hongjie Yu; Jianfeng He; Qi Li; Xianjun Wang; Lidong Gao; Xinghuo Pang; Guohua Liu; Yansheng Yan; Hui Yuan; Yuelong Shu; Weizhong Yang; Yu Wang; Fan Wu; Timothy M Uyeki; Zijian Feng
Journal:  N Engl J Med       Date:  2013-04-24       Impact factor: 91.245

6.  Importance of Internet surveillance in public health emergency control and prevention: evidence from a digital epidemiologic study during avian influenza A H7N9 outbreaks.

Authors:  Hua Gu; Bin Chen; Honghong Zhu; Tao Jiang; Xinyi Wang; Lei Chen; Zhenggang Jiang; Dawei Zheng; Jianmin Jiang
Journal:  J Med Internet Res       Date:  2014-01-17       Impact factor: 5.428

7.  Chinese social media reaction to the MERS-CoV and avian influenza A(H7N9) outbreaks.

Authors:  Isaac Chun-Hai Fung; King-Wa Fu; Yuchen Ying; Braydon Schaible; Yi Hao; Chung-Hong Chan; Zion Tsz-Ho Tse
Journal:  Infect Dis Poverty       Date:  2013-12-20       Impact factor: 4.520

  7 in total
  6 in total

1.  Using Narrative Evidence to Convey Health Information on Social Media: The Case of COVID-19.

Authors:  Anat Gesser-Edelsburg
Journal:  J Med Internet Res       Date:  2021-03-15       Impact factor: 5.428

2.  Exploring Public Response to COVID-19 on Weibo with LDA Topic Modeling and Sentiment Analysis.

Authors:  Runbin Xie; Samuel Kai Wah Chu; Dickson Kak Wah Chiu; Yangshu Wang
Journal:  Data Inf Manag       Date:  2022-03-31

3.  Intermedia Agenda Setting amid the Pandemic: A Computational Analysis of China's Online News.

Authors:  Hanxiao Wang; Jian Shi
Journal:  Comput Intell Neurosci       Date:  2022-04-16

4.  Forecasting influenza epidemics by integrating internet search queries and traditional surveillance data with the support vector machine regression model in Liaoning, from 2011 to 2015.

Authors:  Feng Liang; Peng Guan; Wei Wu; Desheng Huang
Journal:  PeerJ       Date:  2018-06-25       Impact factor: 2.984

5.  Global Sentiments Surrounding the COVID-19 Pandemic on Twitter: Analysis of Twitter Trends.

Authors:  May Oo Lwin; Jiahui Lu; Anita Sheldenkar; Peter Johannes Schulz; Wonsun Shin; Raj Gupta; Yinping Yang
Journal:  JMIR Public Health Surveill       Date:  2020-05-22

6.  Integrating emergency risk communication (ERC) into the public health system response: Systematic review of literature to aid formulation of the 2017 WHO Guideline for ERC policy and practice.

Authors:  Ayan Jha; Leesa Lin; Sarah Massin Short; Giorgia Argentini; Gaya Gamhewage; Elena Savoia
Journal:  PLoS One       Date:  2018-10-31       Impact factor: 3.240

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.