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

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Autoři:	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
Médium:	artículo preliminar
Datum vydání:	2021
Popis:	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.
Země:	Kérwá
Instituce:	Universidad de Costa Rica
Repositorio:	Kérwá
Jazyk:	Inglés
OAI Identifier:	oai:kerwa.ucr.ac.cr:10669/83843
On-line přístup:	https://www.medrxiv.org/content/10.1101/2021.06.24.21259470v1 https://hdl.handle.net/10669/83843
Klíčové slovo:	Epidemic models Mathematical modeling Vector-borne diseases Machine learning Costa Rica