Mathematical and Statistical models as tools for the control ofmosquito-borne diseases: The experience of Costa Rica

 

שמור ב:
מידע ביבליוגרפי
Autores: Sánchez Peña, Fabio Ariel, Barboza Chinchilla, Luis Alberto, Vásquez Brenes, Paola Andrea, García Puerta, Yury Elena, Calvo Alpízar, Juan Gabriel, Chou Chen, Shu Wei, Mery Valdovinos, Gustavo Andrés
פורמט: artículo preliminar
Fecha de Publicación:2021
תיאור:The modeling of infectious diseases provides valuable input in the development of mitigating strategies and implementation of public health interventions. We highlight results and current research conducted in Costa Rica using mathematical and statistical tools to develop optimal strategies for mosquito control and mosquito-borne disease prevention/control methods in the country.
País:Kérwá
מוסד:Universidad de Costa Rica
Repositorio:Kérwá
שפה:Inglés
OAI Identifier:oai:kerwa.ucr.ac.cr:10669/83843
גישה מקוונת:https://www.medrxiv.org/content/10.1101/2021.06.24.21259470v1
https://hdl.handle.net/10669/83843
מילת מפתח:Epidemic models
Mathematical modeling
Vector-borne diseases
Machine learning
Costa Rica

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