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

Autor: Lyn James, Pei Pei Chan, Wanhan See, Khine Nandar, Joseph John Pyne Simons, Richard D. Shang, Jeannie Su Hui Tey, Olivia Seen Huey Oh, Zhaoxia Wang, Rick Siow Mong Goh, Boon-Kiat Quek, Xiao Feng Yin, Yinping Yang, Emma Xuxiao Zhang, Vivienne Ruo Yun Ling
Rok vydání: 2015
Předmět:
Zdroj: Western Pacific Surveillance and Response Journal
Western Pacific Surveillance and Response, Vol 6, Iss 2, Pp 66-72 (2015)
ISSN: 2094-7313
2094-7321
DOI: 10.5365/wpsar.2015.6.1.013
Popis: 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.
Databáze: OpenAIRE