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Reducing bias in risk indices for COVID-19
2592PDF: 255Appendix: 319HTML: 28 -
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Moran’s I and Geary’s C: investigation of the effects of spatial weight matrices for assessing the distribution of infectious diseases
591PDF: 156Supplementary materials: 61HTML: 54 -
Where to place emergency ambulance vehicles: use of a capacitated maximum covering location model with real call data
2263PDF: 632Supplementary Materials: 104HTML: 72 -
Spatial and spatio-temporal clusters of lung cancer incidence by stage of disease in Michigan, United States 1985-2018
6204PDF: 820Supplementary Materials: 80HTML: 82 -
Flexible scan statistic with a restricted likelihood ratio for optimized COVID-19 surveillance
566PDF: 151Supplementary Materials: 71HTML: 21 -
Identifying counties vulnerable to diabetes from obesity prevalence in the United States: a spatiotemporal analysis
2465PDF: 1109APPENDIX: 379HTML: 1126 -
Estimating malaria burden in Nigeria: a geostatistical modelling approach
6941PDF: 2813HTML: 3243 -
Spatial variations of COVID-19 risk by age in Toronto, Canada
766PDF: 296Appendix: 117HTML: 113 -
Random forest variable selection in spatial malaria transmission modelling in Mpumalanga Province, South Africa
3794PDF: 1452APPENDIX 1: 401APPENDIX 2: 387HTML: 1637 -
Spatial cluster analysis of COVID-19 in Malaysia (Mar-Sep, 2020)
3573PDF: 1415HTML: 75 -
Diagnostic approaches to malaria in Zambia, 2009-2014
3337PDF: 1237HTML: 1159 -
Spatial comparison of London’s three waves of Spanish flu
1027PDF: 448HTML: 278 -
Climate impact on malaria in northern Burkina Faso
2394PDF: 757HTML: 725 -
Local landscape effects on population dynamics of Ixodes ricinus
3078PDF: 1148HTML: 832 -
There is more to satellite imagery than meets the eye
2207PDF: 432HTML: 19 -
Global Mpox spread due to increased air travel
1853PDF: 514HTML: 233