Spatial regression-based environmental analysis in infectious disease informatics

Daniel D. Zeng, Ping Yan, Su Li

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

4 Scopus citations


Studying relationships between environmental factors and infectious diseases is an important topic in public health research. The existing studies have been focused on temporal correlations among environmental risks and infectious disease outbreaks. In this paper, we advocate the importance of spatial data analysis in infectious disease-related environmental analysis. Using data from the Beijing CDC, we have conducted spatial regression analysis to study correlation between Measles occurrences and the following environmental factors: population density and proximities to railways, roads, and water systems. We report some preliminary findings concerning significant spatial autocorrelation identified from our analysis.

Original languageEnglish (US)
Title of host publicationBiosurveillance and Biosecurity - International Workshop, BioSecure 2008, Proceedings
Number of pages7
StatePublished - Dec 1 2008
EventInternational Workshop on Biosurveillance and Biosecurity, BioSecure 2008 - Raleigh, NC, United States
Duration: Dec 2 2008Dec 2 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5354 LNBI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


OtherInternational Workshop on Biosurveillance and Biosecurity, BioSecure 2008
Country/TerritoryUnited States
CityRaleigh, NC


  • Environmental analysis
  • Infectious disease informatics
  • Spatial regression

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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