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

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Détails bibliographiques
Auteurs:	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
Format:	artículo preliminar
Date de publication:	2021
Description:	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.
Pays:	Kérwá
Institution:	Universidad de Costa Rica
Repositorio:	Kérwá
Langue:	Inglés
OAI Identifier:	oai:kerwa.ucr.ac.cr:10669/83843
Accès en ligne:	https://www.medrxiv.org/content/10.1101/2021.06.24.21259470v1 https://hdl.handle.net/10669/83843
Mots-clés:	Epidemic models Mathematical modeling Vector-borne diseases Machine learning Costa Rica