Contents
All Items
-
Where to place emergency ambulance vehicles: use of a capacitated maximum covering location model with real call data
2312PDF: 641Supplementary Materials: 105HTML: 73 -
Spatial comparison of London’s three waves of Spanish flu
1067PDF: 454HTML: 288 -
Spatial association of socioeconomic and health service factors with antibiotic self-medication in Thailand
2463PDF: 738Supplementary Materials: 486HTML: 212 -
Sentiment analysis using a lexicon-based approach in Lisbon, Portugal
615PDF: 141Supplementary Materials: 60HTML: 39 -
Optimizing allocation of colorectal cancer screening hospitals in Shanghai: a geospatial analysis
1496PDF: 772Supplementary Materials: 71HTML: 19 -
On the geographic access to healthcare, beyond proximity
1813PDF: 611HTML: 52 -
Moran’s I and Geary’s C: investigation of the effects of spatial weight matrices for assessing the distribution of infectious diseases
723PDF: 190Supplementary materials: 71HTML: 65 -
Mapping livestock systems, bovine and caprine diseases in Mayo-Kebbi Ouest Province, Chad
2802PDF: 934Supplementary Materials: 509HTML: 155 -
Local healthcare resources associated with unmet healthcare needs in South Korea: a spatial analysis
1427PDF: 281Supplementary materials: 101HTML: 63 -
Intra-urban differences underlying leprosy spatial distribution in central Brazil: geospatial techniques as potential tools for surveillance
1087PDF: 496Supplementary Materials: 43HTML: 10 -
Integrating agent-based disease, mobility and wastewater models for the study of the spread of communicable diseases
1656PDF: 389Supplementary Materials: 273HTML: 180 -
Impacts of sample ratio and size on the performance of random forest model to predict the potential distribution of snail habitats
1730PDF: 629Supplementary Materials: 68HTML: 35 -
Impact of climate change on dengue fever: a bibliometric analysis
1931PDF: 567Supplementary Materials: 264HTML: 65 -
Geographical accessibility to healthcare by point-of–interest data from online maps: a comparative study
828PDF: 191Supplementary Materials: 48HTML: 6 -
Association of socioeconomic indicators with COVID-19 mortality in Brazil: a population-based ecological study
1559PDF: 648Supplementary Materials: 56HTML: 30