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Snakebite epidemiology in the State of Mexico, Mexico 2003-2024
1066PDF: 414Supplementary Materials: 211HTML: 37 -
A spatio-temporal study of state-wide case-fatality risks during the first wave of the COVID-19 pandemic in Mexico
1732PDF: 553Appendix: 281HTML: 49 -
Spatial-temporal risk factors in the occurrence of rabies in Mexico
4994PDF: 1565HTML: 1153 -
Venomous snakebite risk and its implications in Zacatecas State, Mexico 2007-2017
1056PDF: 438Supplementary materials: 149HTML: 12 -
Associations between rocky mountain spotted fever and veterinary care access, climatic factors and landscape in the State of Arizona, USA
1191PDF: 995Supplementary Materials: 134HTML: 122 -
An analysis of the process and results of manual geocode correction
2580PDF: 1093HTML: 990 -
Global spreading of Omicron variant of COVID-19
2208PDF: 987HTML: 58 -
Integrating agent-based disease, mobility and wastewater models for the study of the spread of communicable diseases
2638PDF: 765Supplementary Materials: 420HTML: 224 -
Spatial pattern evolution of Aedes aegypti breeding sites in an Argentinean city without a dengue vector control programme
4342PDF: 1731APPENDIX: 588HTML: 1545 -
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Spatiotemporal analysis of rabies in cattle in central Mexico
3156PDF: 1424HTML: 143 -
Bayesian modelling of dengue incidence with climatic drivers: comparing fixed-effects, nonlinear and dynamic approaches
791PDF: 491Supplementary materials: 77HTML: 19 -
Global Mpox spread due to increased air travel
2587PDF: 913HTML: 263 -
Zoning the territory of the Republic of Kazakhstan as to the risk of rabies among various categories of animals
2958PDF: 1512APPENDIX: 758HTML: 1514 -
A dynamic, climate-driven model of Rift Valley fever
5002PDF: 2191Appendix: 613HTML: 1602 -
Spatial dispersal of Aedes albopictus mosquitoes captured by the modified sticky ovitrap in Selangor, Malaysia
2208PDF: 991Annex I-VI: 200HTML: 81 -
Socioeconomic determinants of pandemics: a spatial methodological approach with evidence from COVID-19 in Nice, France
943PDF: 421Supplementary materials: 107HTML: 29 -
Prediction of dengue cases using the attention-based long short-term memory (LSTM) approach
3792PDF: 1617Supplementary Materials: 222HTML: 144
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