Abstract
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.
Keywords
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Anselin, L., Syabri, I., Kho, Y.: GeoDa: An Introduction to Spatial Data Analysis, Spatial Analysis Laboratory, University of Illinois, Urbana-Champaign, IL (2004)
Subak, S.: Analysis of weather effects on variability in Lyme disease incidence in the northeastern United States. Experimental and Applied Acarology 28, 249–256 (2002)
Magny, G.C.d., Guégan, J.-F., Petit, M., Cazelles, B.: Regional-scale climate-variability synchrony of cholera epidemics in West Africa. BMC Infectious Diseases, 20 (2007)
Lillywhite, L.P.: Investigation into the environmental factors associated with the incidence of skin disease following an outbreak of Miliaria rubra at a coal mine. Occupational Medicine 42, 183–187 (1992)
Zhong, S.B.: Application of GIS And Remote Sensing For Study of Epidemiology of Infectious Diseases-Case Studies Of Hepatitis B And Highly Pathogenic Avian Influenza (PhD dissertation, Chinese Academy of Sciences) (2006)
Hoge, C., Reichler, M., Dominguez, E.: An epidemic of pneumococcal disease in an overcrowded, inadequately ventilated jail. The New England Journal of Medicine 331, 643–648 (1994)
Bloom, B., Murray, C.: Tuberculosis: commentary on a reemergent killer. Science 257, 1055–1064 (1992)
Barbour, A., Fish, D.: The biological and social phenomenon of Lyme disease. Science 260, 1610–1616 (1993)
Ma, C.: Spatial autoregression and related spatio-temporal models. Journal of Multivariate Analysis 88(1), 152–162 (2004)
China Population by Township (2002)
Moran, P.A.P.: Notes on continuous stochastic phenomena. Biometrika 37, 17–23 (1950)
Griffiths, D.A.: Spatial Autocorrelation and Spatial Filtering. Springer, New York (2003)
Grenfell, B.T., Bjornstad, O.N., Kappey, J.: Travelling waves and spatial hierarchies in measles epidemics. Nature 414(6865), 716–723 (2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zeng, D.D., Yan, P., Li, S. (2008). Spatial Regression-Based Environmental Analysis in Infectious Disease Informatics. In: Zeng, D., Chen, H., Rolka, H., Lober, B. (eds) Biosurveillance and Biosecurity . BioSecure 2008. Lecture Notes in Computer Science(), vol 5354. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89746-0_18
Download citation
DOI: https://doi.org/10.1007/978-3-540-89746-0_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-89745-3
Online ISBN: 978-3-540-89746-0
eBook Packages: Computer ScienceComputer Science (R0)