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Socioeconomic determinants of pandemics: a spatial methodological approach with evidence from COVID-19 in Nice, France
433PDF: 121Supplementary materials: 36HTML: 7 -
Identifying counties vulnerable to diabetes from obesity prevalence in the United States: a spatiotemporal analysis
2574PDF: 1220APPENDIX: 424HTML: 1130 -
Geospatial tools and data for health service delivery: opportunities and challenges across the disaster management cycle
6076PDF: 639Supplementary Materials: 200HTML: 96 -
Random forest variable selection in spatial malaria transmission modelling in Mpumalanga Province, South Africa
3958PDF: 1678APPENDIX 1: 440APPENDIX 2: 436HTML: 1639 -
Reducing bias in risk indices for COVID-19
2821PDF: 402Appendix: 383HTML: 32 -
Intra-urban differences underlying leprosy spatial distribution in central Brazil: geospatial techniques as potential tools for surveillance
1221PDF: 590Supplementary Materials: 79HTML: 15 -
Preferential sampling in veterinary parasitological surveillance
2047PDF: 1542APPENDIX: 565HTML: 1033 -
Local healthcare resources associated with unmet healthcare needs in South Korea: a spatial analysis
1880PDF: 481Supplementary materials: 167HTML: 96 -
Global Mpox spread due to increased air travel
2084PDF: 635HTML: 248 -
Spatial clustering of colorectal cancer in Malaysia
1419PDF: 652HTML: 12 -
Mapping routine malaria incidence at village level for targeted control in Papua New Guinea
1538VIDEO: 0PDF: 682HTML: 40 -
Local landscape effects on population dynamics of Ixodes ricinus
3211PDF: 1294HTML: 833 -
Habitat suitability map of Ixodes ricinus tick in France using multi-criteria analysis
6121PDF: 2345Appendix: 326HTML: 282 -
Investigating local variation in disease rates within high-rate regions identified using smoothing
516PDF: 351Supplementary Materials: 97HTML: 13

