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Moran’s I and Geary’s C: investigation of the effects of spatial weight matrices for assessing the distribution of infectious diseases
1037PDF: 291Supplementary materials: 117HTML: 92 -
Local healthcare resources associated with unmet healthcare needs in South Korea: a spatial analysis
1694PDF: 385Supplementary materials: 143HTML: 91 -
Making the most of spatial information in health: a tutorial in Bayesian disease mapping for areal data
6836PDF: 2321APPENDIX: 1092HTML: 5123 -
Intra-urban differences underlying leprosy spatial distribution in central Brazil: geospatial techniques as potential tools for surveillance
1128PDF: 540Supplementary Materials: 62HTML: 11 -
Spatial association between the incidence rate of COVID-19 and poverty in the São Paulo municipality, Brazil
7101PDF: 1314Appendix: 115HTML: 22 -
Global spreading of Omicron variant of COVID-19
1562PDF: 665HTML: 47 -
Association of socioeconomic indicators with COVID-19 mortality in Brazil: a population-based ecological study
1631PDF: 694Supplementary Materials: 74HTML: 33 -
Assessing spatial patterns of HIV prevalence and interventions in semi-urban settings in South Africa. Implications for spatially targeted interventions
1928PDF: 478Supplementary 1: 96Supplementary 2: 239HTML: 145 -
Sandwich mapping of schistosomiasis risk in Anhui Province, China
2858PDF: 1149HTML: 1072 -
Spatial clustering of colorectal cancer in Malaysia
1318PDF: 587HTML: 7 -
Monitoring techniques in the capture and adoption of dogs and cats
3912PDF: 1637HTML: 1465 -
Spatiality in small area estimation: A new structure with a simulation study
1034PDF: 474Supplementary materials: 133HTML: 11 -
Assessing the effects of air temperature and rainfall on malaria incidence: an epidemiological study across Rwanda and Uganda
5947PDF: 2129Appendix: 556HTML: 3240Appendix: 207 -
A preliminary spatial-temporal study of some soil characteristics in the calcareous massif of Sicó, Portugal
1676PDF: 842HTML: 923Fig. 1: 246Fig. 2: 243Fig. 3: 252Fig. 4: 210Fig. 5: 232Short Communication: 282 -
A dynamic, climate-driven model of Rift Valley fever
4258PDF: 1664Appendix: 497HTML: 1577 -
Investigating local variation in disease rates within high-rate regions identified using smoothing
450PDF: 308Supplementary Materials: 75HTML: 11 -
First year with COVID-19: Assessment and prospects
2732PDF: 676HTML: 5 -
Prediction of dengue cases using the attention-based long short-term memory (LSTM) approach
1756PDF: 850Supplementary Materials: 118HTML: 39
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