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

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Detalhes 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
Descrição:	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
Recursos:	Universidad de Costa Rica
Repositorio:	Kérwá
Idioma:	Inglés
OAI Identifier:	oai:kerwa.ucr.ac.cr:10669/83843
Acesso em linha:	https://www.medrxiv.org/content/10.1101/2021.06.24.21259470v1 https://hdl.handle.net/10669/83843
Palavra-chave:	Epidemic models Mathematical modeling Vector-borne diseases Machine learning Costa Rica