Mathematical and statistical models for the control of mosquito-borne diseases: the experience of Costa Rica
Rev Panam Salud Publica
; 46, ago. 2022
Artigo
em Inglês
| PAHO-IRIS
| ID: phr-56286
Biblioteca responsável:
US1.1
ABSTRACT
[ABSTRACT]. Objective. To summarize the results of research conducted in Costa Rica in which mathematical and statistical methods were implemented to study the transmission dynamics of mosquito-borne diseases. Methods. Three articles with mathematical and statistical analysis on vector-borne diseases in Costa Rica were selected and reviewed. These papers show the value and relevance of using different quantitative methods to understand disease dynamics and support decision-making. Results. The results of these investigations 1) show the impact on dengue case reports when a second pathogen emerges, such as chikungunya; 2) recover key parameters in Zika dynamics using Bayesian inference; and 3) show the use of machine learning algorithms and climatic variables to forecast the dengue relative risk in five different locations. Conclusions. Mathematical and statistical modeling enables the description of mosquito-borne disease transmission dynamics, providing quantitative information to support prevention/control methods and resource allocation planning.
Texto completo:
Disponível
Coleções:
Bases de dados de organismos internacionais
Contexto em Saúde:
Agenda de Saúde Sustentável para as Américas
/
Doenças Negligenciadas
Problema de saúde:
Objetivo 10: Doenças transmissíveis
/
Febre de Chikungunya
/
Dengue
Base de dados:
PAHO-IRIS
Assunto principal:
Saúde Pública
/
Costa Rica
/
Doenças Transmitidas por Vetores
/
Modelos Teóricos
Tipo de estudo:
Estudo de etiologia
/
Estudo prognóstico
/
Fatores de risco
Aspecto:
Determinantes sociais da saúde
País/Região como assunto:
América Central
/
Costa Rica
Idioma:
Inglês
Ano de publicação:
2022
Tipo de documento:
Artigo