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Geospatial Health: achievements, innovations, priorities
1869PDF: 683HTML: 97 -
Monitoring techniques in the capture and adoption of dogs and cats
4200PDF: 1817HTML: 1484 -
Intra-urban differences underlying leprosy spatial distribution in central Brazil: geospatial techniques as potential tools for surveillance
1428PDF: 683Supplementary Materials: 107HTML: 16 -
Spatial association between the incidence rate of COVID-19 and poverty in the São Paulo municipality, Brazil
7435PDF: 1459Appendix: 171HTML: 30 -
Spatial air pollution modelling for a West-African town
3787PDF: 1708SUPPL. MATERIAL: 452HTML: 1085 -
Socioeconomic determinants of pandemics: a spatial methodological approach with evidence from COVID-19 in Nice, France
722PDF: 291Supplementary materials: 66HTML: 18 -
Impact of climate change on dengue fever: a bibliometric analysis
2699PDF: 890Supplementary Materials: 362HTML: 125 -
Spatial variations of COVID-19 risk by age in Toronto, Canada
1125PDF: 486Appendix: 183HTML: 132 -
A dynamic, climate-driven model of Rift Valley fever
4746PDF: 2026Appendix: 561HTML: 1590 -
Detection of spatial aggregation of cases of cancer from data on patients and health centres contained in the Minimum Basic Data Set
1846PDF: 931SUPPLEMENTARY: 405HTML: 136 -
Impacts of sample ratio and size on the performance of random forest model to predict the potential distribution of snail habitats
2032PDF: 872Supplementary Materials: 150HTML: 56 -
An analysis of the process and results of manual geocode correction
2394PDF: 1010HTML: 982 -
Spatial association of socioeconomic and health service factors with antibiotic self-medication in Thailand
3241PDF: 1028Supplementary Materials: 566HTML: 254 -
To what extent does climate explain variations in reported malaria cases in early 20th century Uganda?
4587PDF: 1309Appendix: 548HTML: 1224 -
Making the most of spatial information in health: a tutorial in Bayesian disease mapping for areal data
7224PDF: 2508APPENDIX: 1172HTML: 5382 -
Estimating malaria burden in Nigeria: a geostatistical modelling approach
7528PDF: 3142HTML: 3274 -
Predicting malaria cases using remotely sensed environmental variables in Nkomazi, South Africa
3061PDF: 1551APPENDIX: 478HTML: 291 -
Spatial autocorrelation and heterogenicity of demographic and healthcare factors in the five waves of COVID-19 epidemic in Thailand
1635PDF: 889Supplementary Materials: 137HTML: 65

