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

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Opis bibliograficzny
Autorzy:	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
Data wydania:	2021
Opis:	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.
Kraj:	Kérwá
Instytucja:	Universidad de Costa Rica
Repositorio:	Kérwá
Język:	Inglés
OAI Identifier:	oai:kerwa.ucr.ac.cr:10669/83843
Dostęp online:	https://www.medrxiv.org/content/10.1101/2021.06.24.21259470v1 https://hdl.handle.net/10669/83843
Słowo kluczowe:	Epidemic models Mathematical modeling Vector-borne diseases Machine learning Costa Rica