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Predicting malaria cases using remotely sensed environmental variables in Nkomazi, South Africa
2669PDF: 1272APPENDIX: 365HTML: 220 -
Reducing bias in risk indices for COVID-19
2625PDF: 269Appendix: 327HTML: 30 -
Diagnostic approaches to malaria in Zambia, 2009-2014
3356PDF: 1257HTML: 1159 -
Bayesian zero-inflated spatio-temporal modelling of scrub typhus data in Korea, 2010-2014
1666PDF: 800APPENDIX: 305HTML: 103 -
Sentiment analysis using a lexicon-based approach in Lisbon, Portugal
746PDF: 181Supplementary Materials: 88HTML: 61 -
Making the most of spatial information in health: a tutorial in Bayesian disease mapping for areal data
6764PDF: 2268APPENDIX: 1076HTML: 5094 -
Sandwich mapping of schistosomiasis risk in Anhui Province, China
2828PDF: 1133HTML: 1072 -
Where to place emergency ambulance vehicles: use of a capacitated maximum covering location model with real call data
2332PDF: 645Supplementary Materials: 109HTML: 75 -
Geographical accessibility to healthcare by point-of–interest data from online maps: a comparative study
852PDF: 197Supplementary Materials: 52HTML: 7 -
Spatial clustering of colorectal cancer in Malaysia
1292PDF: 554HTML: 6 -
Spatial dispersal of Aedes albopictus mosquitoes captured by the modified sticky ovitrap in Selangor, Malaysia
1456PDF: 606Annex I-VI: 99HTML: 58