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To what extent does climate explain variations in reported malaria cases in early 20th century Uganda?
3829PDF: 1094Appendix: 456HTML: 1211 -
Making the most of spatial information in health: a tutorial in Bayesian disease mapping for areal data
6772PDF: 2275APPENDIX: 1078HTML: 5097 -
Estimating malaria burden in Nigeria: a geostatistical modelling approach
7016PDF: 2847HTML: 3246 -
Spatial autocorrelation and heterogenicity of demographic and healthcare factors in the five waves of COVID-19 epidemic in Thailand
1142PDF: 630Supplementary Materials: 84HTML: 22 -
Predicting malaria cases using remotely sensed environmental variables in Nkomazi, South Africa
2672PDF: 1274APPENDIX: 365HTML: 222 -
Impacts of sample ratio and size on the performance of random forest model to predict the potential distribution of snail habitats
1742PDF: 655Supplementary Materials: 72HTML: 37 -
Spatial association of socioeconomic and health service factors with antibiotic self-medication in Thailand
2600PDF: 785Supplementary Materials: 508HTML: 236 -
Geospatial Health: achievements, innovations, priorities
1502PDF: 472HTML: 95 -
Monitoring techniques in the capture and adoption of dogs and cats
3898PDF: 1604HTML: 1465 -
Intra-urban differences underlying leprosy spatial distribution in central Brazil: geospatial techniques as potential tools for surveillance
1115PDF: 507Supplementary Materials: 46HTML: 11 -
Spatial association between the incidence rate of COVID-19 and poverty in the São Paulo municipality, Brazil
7073PDF: 1271Appendix: 102HTML: 22 -
Spatial air pollution modelling for a West-African town
3481PDF: 1388SUPPL. MATERIAL: 392HTML: 1078 -
Impact of climate change on dengue fever: a bibliometric analysis
2094PDF: 616Supplementary Materials: 292HTML: 88 -
Spatial variations of COVID-19 risk by age in Toronto, Canada
781PDF: 308Appendix: 128HTML: 115 -
A dynamic, climate-driven model of Rift Valley fever
4228PDF: 1625Appendix: 483HTML: 1576