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Review
. 2022 Oct 21;7(10):322.
doi: 10.3390/tropicalmed7100322.

Dengue Prediction in Latin America Using Machine Learning and the One Health Perspective: A Literature Review

Maritza Cabrera  1   2 , Jason Leake  3 , José Naranjo-Torres  4 , Nereida Valero  5 , Julio C Cabrera  6 , Alfonso J Rodríguez-Morales  7   8   9
Affiliations
Review

Dengue Prediction in Latin America Using Machine Learning and the One Health Perspective: A Literature Review

Maritza Cabrera et al. Trop Med Infect Dis. .

Abstract

Dengue fever is a serious and growing public health problem in Latin America and elsewhere, intensified by climate change and human mobility. This paper reviews the approaches to the epidemiological prediction of dengue fever using the One Health perspective, including an analysis of how Machine Learning techniques have been applied to it and focuses on the risk factors for dengue in Latin America to put the broader environmental considerations into a detailed understanding of the small-scale processes as they affect disease incidence. Determining that many factors can act as predictors for dengue outbreaks, a large-scale comparison of different predictors over larger geographic areas than those currently studied is lacking to determine which predictors are the most effective. In addition, it provides insight into techniques of Machine Learning used for future predictive models, as well as general workflow for Machine Learning projects of dengue fever.

Keywords: Latin America; climate change; dengue; epidemiology; machine learning; one health; prediction.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Risk factors of dengue fever are classified into four One Health groups: (i) ecology of the vectors, (ii) serotypes, (iii) human conditions, and (iv) environment.
Figure 2
Figure 2
Types of learning are usually employed in Machine Learning.
Figure 3
Figure 3
General workflow for ML projects.
Figure 4
Figure 4
General architecture of an ANN.
Figure 5
Figure 5
Illustration of the operations performed by each neuron in the ANN.
See this image and copyright information in PMC

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