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

 

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Detalles Bibliográficos
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
Formato: artículo preliminar
Fecha de Publicación:2021
Descripción: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
Institución:Universidad de Costa Rica
Repositorio:Kérwá
Lenguaje:Inglés
OAI Identifier:oai:https://www.kerwa.ucr.ac.cr:10669/83843
Acceso en línea:https://www.medrxiv.org/content/10.1101/2021.06.24.21259470v1
https://hdl.handle.net/10669/83843
Access Level:acceso abierto
Palabra clave:Epidemic models
Mathematical modeling
Vector-borne diseases
Machine learning
Costa Rica