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Identifying counties vulnerable to diabetes from obesity prevalence in the United States: a spatiotemporal analysis
2577PDF: 1220APPENDIX: 424HTML: 1130 -
Prediction of dengue cases using the attention-based long short-term memory (LSTM) approach
2014PDF: 967Supplementary Materials: 152HTML: 62 -
Estimating malaria burden in Nigeria: a geostatistical modelling approach
7153PDF: 2992HTML: 3252 -
Spatial and spatio-temporal clusters of lung cancer incidence by stage of disease in Michigan, United States 1985-2018
6367PDF: 976Supplementary Materials: 125HTML: 82 -
Habitat suitability map of Ixodes ricinus tick in France using multi-criteria analysis
6122PDF: 2345Appendix: 326HTML: 282 -
There is more to satellite imagery than meets the eye
2408PDF: 520HTML: 19 -
Random forest variable selection in spatial malaria transmission modelling in Mpumalanga Province, South Africa
3960PDF: 1682APPENDIX 1: 440APPENDIX 2: 436HTML: 1639 -
On the geographic access to healthcare, beyond proximity
2079PDF: 757HTML: 52 -
A spatio-temporal study of state-wide case-fatality risks during the first wave of the COVID-19 pandemic in Mexico
1399PDF: 400Appendix: 212HTML: 30 -
Geospatial Health: achievements, innovations, priorities
1642PDF: 551HTML: 95 -
Spatial autocorrelation and heterogenicity of demographic and healthcare factors in the five waves of COVID-19 epidemic in Thailand
1337PDF: 777Supplementary Materials: 113HTML: 35 -
Preferential sampling in veterinary parasitological surveillance
2047PDF: 1542APPENDIX: 565HTML: 1033 -
Impacts of sample ratio and size on the performance of random forest model to predict the potential distribution of snail habitats
1838PDF: 764Supplementary Materials: 108HTML: 44

