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Spatial air pollution modelling for a West-African town
3826PDF: 1733SUPPL. MATERIAL: 459HTML: 1087 -
Socioeconomic determinants of pandemics: a spatial methodological approach with evidence from COVID-19 in Nice, France
787PDF: 328Supplementary materials: 77HTML: 21 -
Local healthcare resources associated with unmet healthcare needs in South Korea: a spatial analysis
2214PDF: 702Supplementary materials: 210HTML: 114 -
Random forest variable selection in spatial malaria transmission modelling in Mpumalanga Province, South Africa
4262PDF: 1886APPENDIX 1: 459APPENDIX 2: 484HTML: 1648 -
Assessing spatial patterns of HIV prevalence and interventions in semi-urban settings in South Africa. Implications for spatially targeted interventions
2240PDF: 586Supplementary 1: 146Supplementary 2: 345HTML: 171 -
Intra-urban differences underlying leprosy spatial distribution in central Brazil: geospatial techniques as potential tools for surveillance
1486PDF: 701Supplementary Materials: 119HTML: 20 -
Making the most of spatial information in health: a tutorial in Bayesian disease mapping for areal data
7284PDF: 2531APPENDIX: 1179HTML: 5413 -
Geographical accessibility to healthcare by point-of–interest data from online maps: a comparative study
1626PDF: 537Supplementary Materials: 153HTML: 33 -
Spatial inequalities in cancer with special reference to lung cancer across Europe and their implications for environmental health policy
320PDF: 177Supplementary materials: 25HTML: 8 -
Association of socioeconomic indicators with COVID-19 mortality in Brazil: a population-based ecological study
1951PDF: 846Supplementary Materials: 139HTML: 36 -
Associations between rocky mountain spotted fever and veterinary care access, climatic factors and landscape in the State of Arizona, USA
1023PDF: 530Supplementary Materials: 104HTML: 104 -
Spatial association of socioeconomic and health service factors with antibiotic self-medication in Thailand
3312PDF: 1052Supplementary Materials: 575HTML: 254 -
Bayesian modelling of dengue incidence with climatic drivers: comparing fixed-effects, nonlinear and dynamic approaches
530PDF: 266Supplementary materials: 39HTML: 8 -
Identifying counties vulnerable to diabetes from obesity prevalence in the United States: a spatiotemporal analysis
2762PDF: 1306APPENDIX: 479HTML: 1149 -
Estimating malaria burden in Nigeria: a geostatistical modelling approach
7602PDF: 3174HTML: 3278 -
Climate impact on malaria in northern Burkina Faso
2803PDF: 942HTML: 747 -
Assessing the effects of air temperature and rainfall on malaria incidence: an epidemiological study across Rwanda and Uganda
6429PDF: 2350Appendix: 638HTML: 3331Appendix: 252

