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Making the most of spatial information in health: a tutorial in Bayesian disease mapping for areal data
6748PDF: 2259APPENDIX: 1071HTML: 5086 -
Identifying counties vulnerable to diabetes from obesity prevalence in the United States: a spatiotemporal analysis
2475PDF: 1116APPENDIX: 382HTML: 1128 -
Spatiality in small area estimation: A new structure with a simulation study
1018PDF: 436Supplementary materials: 119HTML: 11 -
Association of socioeconomic indicators with COVID-19 mortality in Brazil: a population-based ecological study
1563PDF: 652Supplementary Materials: 57HTML: 30 -
Prediction of dengue cases using the attention-based long short-term memory (LSTM) approach
1649PDF: 792Supplementary Materials: 99HTML: 30 -
Intra-urban differences underlying leprosy spatial distribution in central Brazil: geospatial techniques as potential tools for surveillance
1090PDF: 500Supplementary Materials: 43HTML: 10 -
Spatial association of socioeconomic and health service factors with antibiotic self-medication in Thailand
2477PDF: 747Supplementary Materials: 487HTML: 212 -
Preferential sampling in veterinary parasitological surveillance
1932PDF: 1429APPENDIX: 526HTML: 1032 -
Moran’s I and Geary’s C: investigation of the effects of spatial weight matrices for assessing the distribution of infectious diseases
739PDF: 192Supplementary materials: 76HTML: 66 -
Assessing spatial patterns of HIV prevalence and interventions in semi-urban settings in South Africa. Implications for spatially targeted interventions
1889PDF: 452Supplementary 1: 75Supplementary 2: 221HTML: 143 -
Spatiotemporal transmission and socio-climatic factors related to paediatric tuberculosis in north-western Ethiopia
3330PDF: 1107APPENDIX: 351HTML: 836 -
Predicting malaria cases using remotely sensed environmental variables in Nkomazi, South Africa
2654PDF: 1252APPENDIX: 363HTML: 218
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