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An analysis of the process and results of manual geocode correction
2498PDF: 1046HTML: 987 -
Report-back for geo-referenced environmental data: A case study on personal monitoring of temperature in outdoor workers
2627PDF: 1204APPENDIX: 397HTML: 89 -
Venomous snakebite risk and its implications in Zacatecas State, Mexico 2007-2017
698PDF: 349Supplementary materials: 97HTML: 11 -
Local healthcare resources associated with unmet healthcare needs in South Korea: a spatial analysis
2347PDF: 773Supplementary materials: 218HTML: 122 -
Geospatial tools and data for health service delivery: opportunities and challenges across the disaster management cycle
6575PDF: 860Supplementary Materials: 282HTML: 124 -
Enhancing GeoHealth: A step-by-step procedure for spatiotemporal disease mapping
1230PDF: 488Supplementary Materials: 195HTML: 421 -
Global spreading of Omicron variant of COVID-19
2137PDF: 912HTML: 57 -
Bayesian modelling of dengue incidence with climatic drivers: comparing fixed-effects, nonlinear and dynamic approaches
671PDF: 363Supplementary materials: 54HTML: 14 -
Investigating local variation in disease rates within high-rate regions identified using smoothing
735PDF: 465Supplementary Materials: 139HTML: 36 -
Mapping routine malaria incidence at village level for targeted control in Papua New Guinea
1726VIDEO: 0PDF: 790HTML: 51 -
Local landscape effects on population dynamics of Ixodes ricinus
3459PDF: 1608HTML: 841 -
A Bayesian spatial ecological analysis of social conditions, infection burden and COVID-19 mortality across mainland Scottish councils 2020-2021
208PDF: 98Supplementary Materials: 23HTML: 3 -
Socioeconomic determinants of pandemics: a spatial methodological approach with evidence from COVID-19 in Nice, France
854PDF: 364Supplementary materials: 86HTML: 27 -
Spatial association between the incidence rate of COVID-19 and poverty in the São Paulo municipality, Brazil
7531PDF: 1509Appendix: 190HTML: 35 -
Spatial analysis of antimicrobial resistance in the environment. A systematic review
3273PDF: 1210Supplementary Materials: 327HTML: 75 -
Prediction of dengue cases using the attention-based long short-term memory (LSTM) approach
3192PDF: 1317Supplementary Materials: 204HTML: 134

