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Spatiotemporal transmission and socio-climatic factors related to paediatric tuberculosis in north-western Ethiopia
3359PDF: 1120APPENDIX: 356HTML: 839 -
Spatial clustering of colorectal cancer in Malaysia
1301PDF: 555HTML: 6 -
Spatial association of socioeconomic and health service factors with antibiotic self-medication in Thailand
2600PDF: 785Supplementary Materials: 508HTML: 236 -
Assessing the effects of air temperature and rainfall on malaria incidence: an epidemiological study across Rwanda and Uganda
5921PDF: 2083Appendix: 543HTML: 3239Appendix: 193 -
Habitat suitability map of Ixodes ricinus tick in France using multi-criteria analysis
5756PDF: 2162Appendix: 280HTML: 228 -
Flexible scan statistic with a restricted likelihood ratio for optimized COVID-19 surveillance
602PDF: 171Supplementary Materials: 76HTML: 22 -
Enhancing GeoHealth: A step-by-step procedure for spatiotemporal disease mapping
839PDF: 283Supplementary Materials: 117HTML: 126 -
A preliminary spatial-temporal study of some soil characteristics in the calcareous massif of Sicó, Portugal
1657PDF: 815HTML: 923Fig. 1: 236Fig. 2: 229Fig. 3: 234Fig. 4: 199Fig. 5: 216Short Communication: 268 -
Spatio-temporal analysis of fox rabies cases in Germany 2005-2006
2691PDF: 1109HTML: 1205 -
Geospatial tools and data for health service delivery: opportunities and challenges across the disaster management cycle
5845PDF: 512Supplementary Materials: 152HTML: 86 -
Spatial comparison of London’s three waves of Spanish flu
1108PDF: 467HTML: 304 -
Ecological characterization of a cutaneous leishmaniasis outbreak through remotely sensed land cover changes
1484PDF: 680Appendix: 98HTML: 30 -
Zoning the territory of the Republic of Kazakhstan as to the risk of rabies among various categories of animals
2552PDF: 1117APPENDIX: 580HTML: 1441 -
Spatial variations of COVID-19 risk by age in Toronto, Canada
781PDF: 308Appendix: 128HTML: 115 -
Spatial-temporal risk factors in the occurrence of rabies in Mexico
3781PDF: 1016HTML: 750 -
Investigating local variation in disease rates within high-rate regions identified using smoothing
428PDF: 272Supplementary Materials: 58HTML: 11 -
Random forest variable selection in spatial malaria transmission modelling in Mpumalanga Province, South Africa
3819PDF: 1494APPENDIX 1: 410APPENDIX 2: 398HTML: 1638 -
Prediction of dengue cases using the attention-based long short-term memory (LSTM) approach
1688PDF: 807Supplementary Materials: 101HTML: 32 -
Impacts of sample ratio and size on the performance of random forest model to predict the potential distribution of snail habitats
1742PDF: 655Supplementary Materials: 72HTML: 37 -
Geographical heterogeneity and socio-ecological risk profiles of dengue in Jakarta, Indonesia
2986PDF: 1186Appendix: 104HTML: 35 -
First year with COVID-19: Assessment and prospects
2684PDF: 661HTML: 5