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
2340PDF: 646Supplementary Materials: 110HTML: 75 -
Spatial comparison of London’s three waves of Spanish flu
1111PDF: 468HTML: 305 -
Spatial association of socioeconomic and health service factors with antibiotic self-medication in Thailand
2601PDF: 788Supplementary Materials: 511HTML: 236 -
Sentiment analysis using a lexicon-based approach in Lisbon, Portugal
755PDF: 189Supplementary Materials: 89HTML: 61 -
Optimizing allocation of colorectal cancer screening hospitals in Shanghai: a geospatial analysis
1548PDF: 791Supplementary Materials: 76HTML: 19 -
On the geographic access to healthcare, beyond proximity
1851PDF: 631HTML: 52 -
Moran’s I and Geary’s C: investigation of the effects of spatial weight matrices for assessing the distribution of infectious diseases
889PDF: 254Supplementary materials: 102HTML: 90 -
Mapping livestock systems, bovine and caprine diseases in Mayo-Kebbi Ouest Province, Chad
2980PDF: 978Supplementary Materials: 533HTML: 180 -
Local healthcare resources associated with unmet healthcare needs in South Korea: a spatial analysis
1592PDF: 341Supplementary materials: 127HTML: 87 -
Intra-urban differences underlying leprosy spatial distribution in central Brazil: geospatial techniques as potential tools for surveillance
1115PDF: 509Supplementary Materials: 47HTML: 11 -
Integrating agent-based disease, mobility and wastewater models for the study of the spread of communicable diseases
1778PDF: 427Supplementary Materials: 302HTML: 202 -
Impacts of sample ratio and size on the performance of random forest model to predict the potential distribution of snail habitats
1742PDF: 659Supplementary Materials: 74HTML: 37 -
Impact of climate change on dengue fever: a bibliometric analysis
2097PDF: 617Supplementary Materials: 292HTML: 88 -
Geographical accessibility to healthcare by point-of–interest data from online maps: a comparative study
858PDF: 201Supplementary Materials: 53HTML: 7 -
Association of socioeconomic indicators with COVID-19 mortality in Brazil: a population-based ecological study
1594PDF: 666Supplementary Materials: 62HTML: 31