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

Αποθηκεύτηκε σε:

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφείς:	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
Μορφή:	artículo preliminar
Ημερομηνία έκδοσης:	2021
Περιγραφή:	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.
Χώρα:	Kérwá
Ίδρυμα:	Universidad de Costa Rica
Repositorio:	Kérwá
Γλώσσα:	Inglés
OAI Identifier:	oai:kerwa.ucr.ac.cr:10669/83843
Διαθέσιμο Online:	https://www.medrxiv.org/content/10.1101/2021.06.24.21259470v1 https://hdl.handle.net/10669/83843
Λέξη-Κλειδί :	Epidemic models Mathematical modeling Vector-borne diseases Machine learning Costa Rica