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Identifying counties vulnerable to diabetes from obesity prevalence in the United States: a spatiotemporal analysis
2606PDF: 1231APPENDIX: 430HTML: 1131 -
Assessing spatial patterns of HIV prevalence and interventions in semi-urban settings in South Africa. Implications for spatially targeted interventions
2034PDF: 519Supplementary 1: 113Supplementary 2: 281HTML: 149 -
Sentiment analysis using a lexicon-based approach in Lisbon, Portugal
1078PDF: 323Supplementary Materials: 147HTML: 74 -
Spatial clusters of human and livestock anthrax define high-risk areas requiring intervention in Lao Cai Province, Vietnam 1991-2022
2155PDF: 674Supplementary Materials: 134HTML: 53 -
A topological multilayer model of the human body
3095PDF: 1149HTML: 1549 -
Spatiotemporal transmission and socio-climatic factors related to paediatric tuberculosis in north-western Ethiopia
3465PDF: 1192APPENDIX: 392HTML: 848 -
Estimating malaria burden in Nigeria: a geostatistical modelling approach
7169PDF: 3030HTML: 3256 -
Optimizing allocation of colorectal cancer screening hospitals in Shanghai: a geospatial analysis
1898PDF: 1006Supplementary Materials: 122HTML: 22 -
Spatial air pollution modelling for a West-African town
3578PDF: 1573SUPPL. MATERIAL: 422HTML: 1082 -
Spatial patterns of the total mortality over the first 24 hours of life and that due to preventable causes
1015PDF: 504Appendix: 137HTML: 22 -
Spatial clustering of colorectal cancer in Malaysia
1436PDF: 662HTML: 12 -
Reducing bias in risk indices for COVID-19
2858PDF: 417Appendix: 389HTML: 33 -
Spatial accessibility to basic public health services in South Sudan
8435PDF: 2573APPENDIX: 6074HTML: 1127 -
Spatial association of socioeconomic and health service factors with antibiotic self-medication in Thailand
2994PDF: 902Supplementary Materials: 546HTML: 249 -
Flexible scan statistic with a restricted likelihood ratio for optimized COVID-19 surveillance
727PDF: 219Supplementary Materials: 108HTML: 22 -
Spatial cluster analysis of COVID-19 in Malaysia (Mar-Sep, 2020)
3766PDF: 1519HTML: 88 -
Enhancing GeoHealth: A step-by-step procedure for spatiotemporal disease mapping
952PDF: 365Supplementary Materials: 157HTML: 189 -
Predominance and geo-mapping of avian influenza H5N1 in poultry sectors in Egypt
2681PDF: 1124APPENDIX: 457HTML: 1513 -
A preliminary spatial-temporal study of some soil characteristics in the calcareous massif of Sicó, Portugal
1749PDF: 890HTML: 923Fig. 1: 267Fig. 2: 262Fig. 3: 268Fig. 4: 228Fig. 5: 253Short Communication: 300

