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Snakebite epidemiology in the State of Mexico, Mexico 2003-2024
470PDF: 239Supplementary Materials: 32HTML: 7 -
A spatio-temporal study of state-wide case-fatality risks during the first wave of the COVID-19 pandemic in Mexico
1610PDF: 487Appendix: 255HTML: 38 -
Spatial-temporal risk factors in the occurrence of rabies in Mexico
4646PDF: 1396HTML: 1076 -
Venomous snakebite risk and its implications in Zacatecas State, Mexico 2007-2017
600PDF: 318Supplementary materials: 83HTML: 9 -
Associations between rocky mountain spotted fever and veterinary care access, climatic factors and landscape in the State of Arizona, USA
1026PDF: 530Supplementary Materials: 104HTML: 104 -
An analysis of the process and results of manual geocode correction
2428PDF: 1026HTML: 984 -
Global spreading of Omicron variant of COVID-19
1992PDF: 865HTML: 53 -
Integrating agent-based disease, mobility and wastewater models for the study of the spread of communicable diseases
2416PDF: 635Supplementary Materials: 392HTML: 220 -
Spatial pattern evolution of Aedes aegypti breeding sites in an Argentinean city without a dengue vector control programme
4149PDF: 1608APPENDIX: 556HTML: 1541 -
Spatiotemporal analysis of rabies in cattle in central Mexico
2962PDF: 1347HTML: 134 -
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Bayesian modelling of dengue incidence with climatic drivers: comparing fixed-effects, nonlinear and dynamic approaches
540PDF: 267Supplementary materials: 39HTML: 8 -
Global Mpox spread due to increased air travel
2433PDF: 811HTML: 257 -
Zoning the territory of the Republic of Kazakhstan as to the risk of rabies among various categories of animals
2823PDF: 1366APPENDIX: 709HTML: 1506 -
A dynamic, climate-driven model of Rift Valley fever
4793PDF: 2067Appendix: 584HTML: 1596 -
Spatial dispersal of Aedes albopictus mosquitoes captured by the modified sticky ovitrap in Selangor, Malaysia
1973PDF: 877Annex I-VI: 158HTML: 71 -
Socioeconomic determinants of pandemics: a spatial methodological approach with evidence from COVID-19 in Nice, France
790PDF: 329Supplementary materials: 77HTML: 21 -
Prediction of dengue cases using the attention-based long short-term memory (LSTM) approach
2844PDF: 1229Supplementary Materials: 194HTML: 111
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