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Spatial Modeling in Environmental and Public Health Research

Author

Listed:
  • Michael Jerrett

    (Division of Environmental Health Science, University of California, Berkeley, 710 University Hall (Office and GIS Lab), Berkeley, CA 94720, USA)

  • Sara Gale

    (Division of Epidemiology, University of California, Berkeley, 101 Haviland Hall, Berkeley, CA 94720, USA)

  • Caitlin Kontgis

    (Division of Environmental Health Science, University of California, Berkeley, 710 University Hall (Office and GIS Lab), Berkeley, CA 94720, USA)

Abstract

This paper has two aims: (1) to summarize various geographic information science methods; and (2) to provide a review of studies that have employed such methods. Though not meant to be a comprehensive review, this paper explains when certain methods are useful in epidemiological studies and also serves as an overview of the growing field of spatial epidemiology.

Suggested Citation

  • Michael Jerrett & Sara Gale & Caitlin Kontgis, 2010. "Spatial Modeling in Environmental and Public Health Research," IJERPH, MDPI, vol. 7(4), pages 1-28, March.
    • Handle: RePEc:gam:jijerp:v:7:y:2010:i:4:p:1302-1329:d:7640
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    References listed on IDEAS

    as
    1. Arthur Getis, 1995. "Spatial Filtering in a Regression Framework: Examples Using Data on Urban Crime, Regional Inequality, and Government Expenditures," Advances in Spatial Science, in: Luc Anselin & Raymond J. G. M. Florax (ed.), New Directions in Spatial Econometrics, chapter 8, pages 172-185, Springer.
    2. Atwood, K. & Colditz, G.A. & Kawachi, I., 1997. "From public health science to prevention policy: placing science in its social and political contexts," American Journal of Public Health, American Public Health Association, vol. 87(10), pages 1603-1606.
    3. Arthur Getis & J. Keith Ord, 2010. "The Analysis of Spatial Association by Use of Distance Statistics," Advances in Spatial Science, in: Luc Anselin & Sergio J. Rey (ed.), Perspectives on Spatial Data Analysis, chapter 0, pages 127-145, Springer.
    4. Roger J. Marshall, 1991. "Mapping Disease and Mortality Rates Using Empirical Bayes Estimators," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 40(2), pages 283-294, June.
    5. Mayer, Jonathan D., 1983. "The role of spatial analysis and geographic data in the detection of disease causation," Social Science & Medicine, Elsevier, vol. 17(16), pages 1213-1221, January.
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    Citations

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    Cited by:

    1. Sehyeong Kim & Youngho Kim, 2019. "Spatially Filtered Multilevel Analysis on Spatial Determinants for Malaria Occurrence in Korea," IJERPH, MDPI, vol. 16(7), pages 1-11, April.
    2. Dalia M. Muñoz-Pizza & Mariana Villada-Canela & M. A. Reyna & José Luis Texcalac-Sangrador & Jesús Serrano-Lomelin & Álvaro Osornio-Vargas, 2020. "Assessing the Influence of Socioeconomic Status and Air Pollution Levels on the Public Perception of Local Air Quality in a Mexico-US Border City," IJERPH, MDPI, vol. 17(13), pages 1-22, June.
    3. Séverine Deguen & Guadalupe Perez Marchetta & Wahida Kihal-Talantikite, 2020. "Measuring Burden of Disease Attributable to Air Pollution Due to Preterm Birth Complications and Infant Death in Paris Using Disability-Adjusted Life Years (DALYs)," IJERPH, MDPI, vol. 17(21), pages 1-15, October.
    4. Jesus Serrano-Lomelin & Charlene C. Nielsen & Anne Hicks & Susan Crawford & Jeffrey A. Bakal & Maria B. Ospina, 2020. "Geographic Inequalities of Respiratory Health Services Utilization during Childhood in Edmonton and Calgary, Canada: A Tale of Two Cities," IJERPH, MDPI, vol. 17(23), pages 1-17, December.
    5. Meicun Li & Chunmei Mao, 2020. "Spatial Effect of Industrial Energy Consumption Structure and Transportation on Haze Pollution in Beijing-Tianjin-Hebei Region," IJERPH, MDPI, vol. 17(15), pages 1-12, August.
    6. Chinmay Mungi & Dejian Lai & Xianglin L. Du, 2019. "Spatial Analysis of Industrial Benzene Emissions and Cancer Incidence Rates in Texas," IJERPH, MDPI, vol. 16(15), pages 1-13, July.
    7. Severine Deguen & Nina Ahlers & Morgane Gilles & Arlette Danzon & Marion Carayol & Denis Zmirou-Navier & Wahida Kihal-Talantikite, 2018. "Using a Clustering Approach to Investigate Socio-Environmental Inequality in Preterm Birth—A Study Conducted at Fine Spatial Scale in Paris (France)," IJERPH, MDPI, vol. 15(9), pages 1-19, August.

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