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

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Detaylı Bibliyografya
Yazarlar:	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
Materyal Türü:	artículo preliminar
Yayın Tarihi:	2021
Diğer Bilgiler:	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.
Ülke:	Kérwá
Kurum:	Universidad de Costa Rica
Repositorio:	Kérwá
Dil:	Inglés
OAI Identifier:	oai:kerwa.ucr.ac.cr:10669/83843
Online Erişim:	https://www.medrxiv.org/content/10.1101/2021.06.24.21259470v1 https://hdl.handle.net/10669/83843
Anahtar Kelime:	Epidemic models Mathematical modeling Vector-borne diseases Machine learning Costa Rica