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Sentiment analysis using a lexicon-based approach in Lisbon, Portugal
818PDF: 198Supplementary Materials: 95HTML: 62 -
Assessing spatial patterns of HIV prevalence and interventions in semi-urban settings in South Africa. Implications for spatially targeted interventions
1906PDF: 463Supplementary 1: 84Supplementary 2: 229HTML: 145 -
Impacts of sample ratio and size on the performance of random forest model to predict the potential distribution of snail habitats
1744PDF: 671Supplementary Materials: 79HTML: 37 -
Integrating agent-based disease, mobility and wastewater models for the study of the spread of communicable diseases
1829PDF: 430Supplementary Materials: 311HTML: 202 -
Global Mpox spread due to increased air travel
1922PDF: 539HTML: 239 -
Geospatial Health: achievements, innovations, priorities
1506PDF: 477HTML: 95 -
Mapping livestock systems, bovine and caprine diseases in Mayo-Kebbi Ouest Province, Chad
3031PDF: 990Supplementary Materials: 537HTML: 180 -
Geographical accessibility to healthcare by point-of–interest data from online maps: a comparative study
907PDF: 209Supplementary Materials: 57HTML: 9 -
Geospatial tools and data for health service delivery: opportunities and challenges across the disaster management cycle
5851PDF: 523Supplementary Materials: 155HTML: 86 -
Spatial autocorrelation and heterogenicity of demographic and healthcare factors in the five waves of COVID-19 epidemic in Thailand
1147PDF: 645Supplementary Materials: 89HTML: 22 -
Enhancing GeoHealth: A step-by-step procedure for spatiotemporal disease mapping
841PDF: 288Supplementary Materials: 120HTML: 130 -
Spatial dispersal of Aedes albopictus mosquitoes captured by the modified sticky ovitrap in Selangor, Malaysia
1467PDF: 617Annex I-VI: 103HTML: 58 -
Impact of climate change on dengue fever: a bibliometric analysis
2158PDF: 629Supplementary Materials: 297HTML: 88 -
COVID-19, air quality and space monitoring
1447PDF: 412HTML: 20 -
Access to the COVID-19 services during the pandemic - a scoping review
2032PDF: 530Appendix: 221HTML: 99 -
Spatial comparison of London’s three waves of Spanish flu
1118PDF: 477HTML: 312 -
Does the Geohealth domain require a body of knowledge?
1558PDF: 561HTML: 22 -
Reducing bias in risk indices for COVID-19
2649PDF: 279Appendix: 333HTML: 30 -
Investigating local variation in disease rates within high-rate regions identified using smoothing
438PDF: 282Supplementary Materials: 64HTML: 11 -
Flexible scan statistic with a restricted likelihood ratio for optimized COVID-19 surveillance
604PDF: 176Supplementary Materials: 80HTML: 22