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

 

Đã lưu trong:
Chi tiết về thư mục
Nhiều tác giả: 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
Định dạng: artículo preliminar
Ngày xuất bản:2021
Miêu tả: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.
Quốc gia:Kérwá
Tổ chức giáo dục:Universidad de Costa Rica
Repositorio:Kérwá
Ngôn ngữ:Inglés
OAI Identifier:oai:kerwa.ucr.ac.cr:10669/83843
Truy cập trực tuyến:https://www.medrxiv.org/content/10.1101/2021.06.24.21259470v1
https://hdl.handle.net/10669/83843
Từ khóa:Epidemic models
Mathematical modeling
Vector-borne diseases
Machine learning
Costa Rica