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Making the most of spatial information in health: a tutorial in Bayesian disease mapping for areal data
6775PDF: 2285APPENDIX: 1082HTML: 5100 -
Association of socioeconomic indicators with COVID-19 mortality in Brazil: a population-based ecological study
1606PDF: 674Supplementary Materials: 65HTML: 33 -
Identifying counties vulnerable to diabetes from obesity prevalence in the United States: a spatiotemporal analysis
2489PDF: 1136APPENDIX: 387HTML: 1128 -
Spatiality in small area estimation: A new structure with a simulation study
1031PDF: 455Supplementary materials: 127HTML: 11 -
Prediction of dengue cases using the attention-based long short-term memory (LSTM) approach
1710PDF: 816Supplementary Materials: 105HTML: 34 -
Spatial association of socioeconomic and health service factors with antibiotic self-medication in Thailand
2608PDF: 792Supplementary Materials: 511HTML: 236 -
Intra-urban differences underlying leprosy spatial distribution in central Brazil: geospatial techniques as potential tools for surveillance
1121PDF: 513Supplementary Materials: 52HTML: 11 -
Preferential sampling in veterinary parasitological surveillance
1971PDF: 1444APPENDIX: 532HTML: 1032 -
Moran’s I and Geary’s C: investigation of the effects of spatial weight matrices for assessing the distribution of infectious diseases
903PDF: 261Supplementary materials: 104HTML: 90 -
Assessing spatial patterns of HIV prevalence and interventions in semi-urban settings in South Africa. Implications for spatially targeted interventions
1904PDF: 461Supplementary 1: 83Supplementary 2: 228HTML: 145 -
Spatiotemporal transmission and socio-climatic factors related to paediatric tuberculosis in north-western Ethiopia
3368PDF: 1124APPENDIX: 359HTML: 839 -
Predicting malaria cases using remotely sensed environmental variables in Nkomazi, South Africa
2677PDF: 1282APPENDIX: 370HTML: 222
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