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Geospatial Health|June 4, 2025
The future of spatial epidemiology in the AI era: enhancing machine learning approaches with explicit spatial structureNima Kianfar, Benn Sartorius, Colleen L Lau, et al.
Geospatial Health|May 25, 2026
Bayesian spatial Durbin modelling of stunting prevalence across Indonesian districtsFerra Yanuar, Yudiantri Asdi, Sandi Sandi, et al.
Geospatial Health|October 4, 2012
Biomphalaria species distribution and its effect on human Schistosoma mansoni infection in an irrigated area used for rice cultivation in northeast BrazilDelmany Moitinho Barboza, Cangjie Zhang, Nathaly Cardoso Santos, et al.
Geospatial Health|April 19, 2016
Preferential sampling in veterinary parasitological surveillanceLorenzo Cecconi, Annibale Biggeri, Laura Grisotto, et al.
Geospatial Health|May 18, 2019
Quantifying the relationship between human Lyme disease and Borrelia burgdorferi exposure in domestic dogsYan Liu, Shila K Nordone, Michael J Yabsley, et al.
Geospatial Health|November 20, 2018
Geographical information system analysis on road accidents involving wandering dogs in the urban area of NaplesGiuseppina Mennonna, Carla Murino, Fabiana Micieli, et al.
Geospatial Health|August 8, 2008
Perspectives on using remotely-sensed imagery in predictive veterinary epidemiology and global early warning systemsVincent Martin, Lorenzo De Simone, Juan Lubroth, et al.
Geospatial Health|May 29, 2012
Spatial distribution and autocorrelation of infant mortality for three cities in Paraná state, BrazilRosana Rosseto de Oliveira, Josane Rosenilda da Costa, Thais Aidar de Freitas Mathias
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