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Random forest variable selection in spatial malaria transmission modelling in Mpumalanga Province, South Africa
4234PDF: 1870APPENDIX 1: 455APPENDIX 2: 477HTML: 1647 -
Spatial comparison of London’s three waves of Spanish flu
1452PDF: 701HTML: 580 -
Venomous snakebite risk and its implications in Zacatecas State, Mexico 2007-2017
566PDF: 302Supplementary materials: 74HTML: 8 -
Bayesian modelling of dengue incidence with climatic drivers: comparing fixed-effects, nonlinear and dynamic approaches
498PDF: 223Supplementary materials: 34HTML: 7 -
Mapping livestock systems, bovine and caprine diseases in Mayo-Kebbi Ouest Province, Chad
3701PDF: 1251Supplementary Materials: 607HTML: 195 -
Integrating agent-based disease, mobility and wastewater models for the study of the spread of communicable diseases
2381PDF: 617Supplementary Materials: 390HTML: 218 -
On the geographic access to healthcare, beyond proximity
2437PDF: 900HTML: 86 -
There is more to satellite imagery than meets the eye
2736PDF: 627HTML: 28 -
Geospatial Health: achievements, innovations, priorities
1907PDF: 718HTML: 98 -
Prediction of dengue cases using the attention-based long short-term memory (LSTM) approach
2773PDF: 1207Supplementary Materials: 191HTML: 107 -
Impacts of sample ratio and size on the performance of random forest model to predict the potential distribution of snail habitats
2058PDF: 886Supplementary Materials: 152HTML: 59 -
First year with COVID-19: Assessment and prospects
3049PDF: 782HTML: 24

