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Identifying counties vulnerable to diabetes from obesity prevalence in the United States: a spatiotemporal analysis
2797PDF: 1327APPENDIX: 486HTML: 1155 -
Impact of climate change on dengue fever: a bibliometric analysis
2795PDF: 935Supplementary Materials: 377HTML: 134 -
Reducing bias in risk indices for COVID-19
3099PDF: 558Appendix: 448HTML: 39 -
Spatial distribution and predictive risk of perpetuation of non-typhoidal salmonellosis in poultry farms and human communities: meta-analysis of data from Nigeria
841PDF: 438Supplementary Materials: 107HTML: 18 -
Spatial cluster analysis of COVID-19 in Malaysia (Mar-Sep, 2020)
4110PDF: 1683HTML: 119 -
Spatial variations of COVID-19 risk by age in Toronto, Canada
1194PDF: 521Appendix: 196HTML: 142 -
Spatio-temporal analysis of fox rabies cases in Germany 2005-2006
2901PDF: 1270HTML: 1214 -
First year with COVID-19: Assessment and prospects
3097PDF: 802HTML: 28 -
Spatial association of socioeconomic and health service factors with antibiotic self-medication in Thailand
3384PDF: 1070Supplementary Materials: 582HTML: 258 -
Associations between rocky mountain spotted fever and veterinary care access, climatic factors and landscape in the State of Arizona, USA
1085PDF: 603Supplementary Materials: 109HTML: 112 -
Geospatial Health: achievements, innovations, priorities
1975PDF: 739HTML: 99 -
Ecological characterization of a cutaneous leishmaniasis outbreak through remotely sensed land cover changes
1856PDF: 958Appendix: 174HTML: 41 -
Where to place emergency ambulance vehicles: use of a capacitated maximum covering location model with real call data
3487PDF: 1157Supplementary Materials: 933HTML: 177 -
Spatial-temporal risk factors in the occurrence of rabies in Mexico
4736PDF: 1427HTML: 1094 -
On the geographic access to healthcare, beyond proximity
2579PDF: 932HTML: 100 -
Optimizing mobile mammography deployment in Oklahoma 2024: a two-step floating catchment area approach
199PDF: 161Supplementary materials: 28HTML: 5

