Studies on dengue and its urgent relationship with applied sciences

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Keywords:

dengue, climate effects, data science

Abstract

Studies on dengue and its urgent relationship with applied sciences

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References

1. Campos SCM, Guillen LLA, del Valle LD, Acosta EI, Rodríguez HD, Osés RR, Morales GRJ, Wilford GFM, et al. Modeling and prediction of dengue cases in the short and long term in Villa Clara, Cuba using climatic variables and objective regressive regression. GSC Biological and Pharmaceutical Sciences. 2022; 18(3): 035-045. DOI: 10.30574/gscbps.2022.18.3.0090

2. Medina GA, Regalado CM. La inteligencia artificial en el control de la COVID- 19. Aten Primaria. 2021; 53(10):102099. DOI: 10.30574/gscbps.2022.18.3.0090

3. Vásquez Brenes PA. Uso del aprendizaje automatizado y de variables climáticas como herramienta para la predicción del riesgo de dengue en Costa Rica, período 2007-2017 [Tesis de pregrado]. Costa Rica: Ciudad Universitaria Rodrigo Facio, Universidad de Costa Rica; 2020. Disponible en: https://kerwa.ucr.ac.cr/bitstream/handle/10669/82278/TFG.%20Paola%20Vasquez%20Brenes.pdf?sequence=1&isAllowed=y

4. Fonseca V, Libin PJ, Theys K, Faria NR, Nunes MR, Restovic MI, et al. A computational method for the identification of Dengue, Zika and Chikungunya virus species and genotypes. PLoS neglected tropical diseases. 2019;13(5):e0007231. DOI: 10.1371/journal.pntd.0007231

5. Manogaran G, Lopez D. A Gaussian process based big data processing framework in cluster computing environment. Cluster Computing. 2018; 21(1):189-204. DOI: 10.1007/s10586-017-0982-5

Published

2023-08-21

How to Cite

1.
Sánchez CMC, Guillen León LA, Aguiar González AM. Studies on dengue and its urgent relationship with applied sciences. Rev Cubana Med Milit [Internet]. 2023 Aug. 21 [cited 2025 May 9];52(3):e02302339. Available from: https://revmedmilitar.sld.cu/index.php/mil/article/view/2339

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Section

Letter to the Editor