Mathematical and statistical models for the control of mosquito-borne diseases: the experience of Costa Rica
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 R...
| Published in: | Revista Panamericana de Salud Pública |
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| Main Authors: | , , , , , , |
| Format: | Article in Journal/Newspaper |
| Language: | English Spanish Portuguese |
| Published: |
Pan American Health Organization
2022
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| Subjects: | |
| Online Access: | https://doi.org/10.26633/RPSP.2022.113 https://doaj.org/article/78e8f38019c24ae3b958021aa63cb5f4 |
| Summary: | 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. |
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