A geospatial analysis on the potential value of news comments in infectious disease surveillance

Kainan Cui, Zhidong Cao, Xiaolong Zheng, Daniel Zeng, Ke Zeng, Min Zheng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

With the development of Internet, widely kind of web data have been applied in influenza surveillance and epidemic early warning. However there were less works focusing on the estimation of geospatial distribution of influenza. In order to evaluate the potential power of news comments for geospatial distribution estimation, we choose the H1N1 pandemic in the mainland of China in 2009 as case. After collecting 75878 comments of H1N1 related news from www.sina.com(a famous news site in the mainland of China), we compared the geospatial distribution of comments against surveillance data. The result shows that the comments data share a similar geospatial distribution with the epidemic data(a correlation of 0.848 p<0.01), especially with a larger data volume(a correlation of 0.902 p<0.01). It suggests that extracting geospatial distribution from comments data for estimation could be an important supplementary method when the surveillance data are incomplete and unreliable.

Original languageEnglish (US)
Title of host publicationIntelligence and Security Informatics - Pacific Asia Workshop, PAISI 2011, Proceedings
Pages85-93
Number of pages9
DOIs
StatePublished - 2011
EventPacific Asia Workshop on Intelligence and Security Informatics, PAISI 2011 - Beijing, China
Duration: Jul 9 2011Jul 9 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6749 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherPacific Asia Workshop on Intelligence and Security Informatics, PAISI 2011
CountryChina
CityBeijing
Period7/9/117/9/11

Keywords

  • H1N1
  • geospatial analysis
  • infectious diseases
  • open source information
  • surveillance

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Cui, K., Cao, Z., Zheng, X., Zeng, D., Zeng, K., & Zheng, M. (2011). A geospatial analysis on the potential value of news comments in infectious disease surveillance. In Intelligence and Security Informatics - Pacific Asia Workshop, PAISI 2011, Proceedings (pp. 85-93). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6749 LNCS). https://doi.org/10.1007/978-3-642-22039-5_9