Contents
All Items
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Where to place emergency ambulance vehicles: use of a capacitated maximum covering location model with real call data
2260PDF: 632Supplementary Materials: 104HTML: 72 -
Spatial comparison of London’s three waves of Spanish flu
1025PDF: 448HTML: 276 -
Spatial association of socioeconomic and health service factors with antibiotic self-medication in Thailand
2334PDF: 714Supplementary Materials: 477HTML: 208 -
Sentiment analysis using a lexicon-based approach in Lisbon, Portugal
474PDF: 114Supplementary Materials: 53HTML: 30 -
Optimizing allocation of colorectal cancer screening hospitals in Shanghai: a geospatial analysis
1467PDF: 757Supplementary Materials: 67HTML: 19 -
On the geographic access to healthcare, beyond proximity
1766PDF: 596HTML: 52 -
Moran’s I and Geary’s C: investigation of the effects of spatial weight matrices for assessing the distribution of infectious diseases
586PDF: 154Supplementary materials: 61HTML: 54 -
Mapping livestock systems, bovine and caprine diseases in Mayo-Kebbi Ouest Province, Chad
2661PDF: 918Supplementary Materials: 503HTML: 152 -
Local healthcare resources associated with unmet healthcare needs in South Korea: a spatial analysis
1344PDF: 249Supplementary materials: 95HTML: 56 -
Intra-urban differences underlying leprosy spatial distribution in central Brazil: geospatial techniques as potential tools for surveillance
1065PDF: 484Supplementary Materials: 42HTML: 10 -
Integrating agent-based disease, mobility and wastewater models for the study of the spread of communicable diseases
1560PDF: 376Supplementary Materials: 262HTML: 172 -
Impacts of sample ratio and size on the performance of random forest model to predict the potential distribution of snail habitats
1712PDF: 618Supplementary Materials: 59HTML: 32 -
Impact of climate change on dengue fever: a bibliometric analysis
1810PDF: 547Supplementary Materials: 261HTML: 58 -
Geographical accessibility to healthcare by point-of–interest data from online maps: a comparative study
804PDF: 180Supplementary Materials: 47HTML: 5 -
Association of socioeconomic indicators with COVID-19 mortality in Brazil: a population-based ecological study
1537PDF: 640Supplementary Materials: 53HTML: 30