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Geospatial Health|May 27, 2010
The utility of "Google Trends" for epidemiological research: Lyme disease as an exampleAri Seifter, Alison Schwarzwalder, Kate Geis, et al.Geospatial Health|May 27, 2010
Correlation between normalized difference vegetation index and malaria in a subtropical rain forest undergoing rapid anthropogenic alterationNicole M Wayant, Diego Maldonado, Antonieta Rojas de Arias, et al.Geospatial Health|May 27, 2010
Multiple testing in disease mapping and descriptive epidemiologyDolores Catelan, Annibale BiggeriGeospatial Health|May 27, 2010
Elucidating the underlying causes of oral cancer through spatial clustering in high-risk areas of Taiwan with a distinct gender ratio of incidenceChi-Ting Chiang, Yaw-Huei Hwang, Che-Chun Su, et al.Geospatial Health|May 4, 2007
Upscale or downscale: applications of fine scale remotely sensed data to Chagas disease in Argentina and schistosomiasis in KenyaUriel Kitron, Julie A Clennon, M Carla Cecere, et al.Geospatial Health|November 24, 2011
Designing a model to minimize inequities in hemodialysis facilities distributionTeresa M Salgado, Rebekah Moles, Shalom I Benrimoj, et al.Geospatial Health|November 24, 2011
Analysis of spatio-temporal variations in stroke incidence and case-fatality in Hong KongPui Hing Chau, Jean Woo, William B Goggins, et al.Geospatial Health|November 24, 2011
A spatial decision support system for guiding focal indoor residual interventions in a malaria elimination zoneGerard C Kelly, Chang Moh Seng, Wesley Donald, et al.Geospatial Health|November 24, 2011
Ecological factors associated with pandemic influenza A (H1N1) hospitalization rates in California, USA: a geospatial analysisPaul J Maliszewski, Ran WeiGeospatial Health|November 24, 2011
Predicting risk habitats for the transmission of the small liver fluke, Dicrocoelium dendriticum to grazing ruminantsBöje Ekstam, Beatha Johansson, Patrik Dinnétz, et al.Pageof 84