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Balancing geo-privacy and spatial patterns in epidemiological studies
3750PDF: 1103APPENDIX: 489HTML: 946 -
Enhancing GeoHealth: A step-by-step procedure for spatiotemporal disease mapping
871PDF: 310Supplementary Materials: 137HTML: 140 -
Impacts of sample ratio and size on the performance of random forest model to predict the potential distribution of snail habitats
1760PDF: 703Supplementary Materials: 89HTML: 37 -
Spatial pattern evolution of Aedes aegypti breeding sites in an Argentinean city without a dengue vector control programme
3684PDF: 1316APPENDIX: 492HTML: 1533 -
Spatial dispersal of Aedes albopictus mosquitoes captured by the modified sticky ovitrap in Selangor, Malaysia
1487PDF: 636Annex I-VI: 114HTML: 58 -
On the geographic access to healthcare, beyond proximity
1896PDF: 678HTML: 52 -
Prediction of dengue cases using the attention-based long short-term memory (LSTM) approach
1766PDF: 863Supplementary Materials: 120HTML: 39 -
Spatial autocorrelation and heterogenicity of demographic and healthcare factors in the five waves of COVID-19 epidemic in Thailand
1177PDF: 677Supplementary Materials: 92HTML: 23 -
Where to place emergency ambulance vehicles: use of a capacitated maximum covering location model with real call data
2423PDF: 693Supplementary Materials: 126HTML: 77 -
Moran’s I and Geary’s C: investigation of the effects of spatial weight matrices for assessing the distribution of infectious diseases
1049PDF: 294Supplementary materials: 118HTML: 92 -
Spatial association between the incidence rate of COVID-19 and poverty in the São Paulo municipality, Brazil
7101PDF: 1315Appendix: 117HTML: 22 -
First year with COVID-19: Assessment and prospects
2733PDF: 678HTML: 5 -
Predicting malaria cases using remotely sensed environmental variables in Nkomazi, South Africa
2701PDF: 1314APPENDIX: 387HTML: 228 -
Association between climate variables and dengue incidence in Nakhon Si Thammarat Province, Thailand
3778PDF: 1563SUPPLEMENTARY: 177HTML: 601