Conceptualization of the diagnosis of Dengue from an engineering and new technology

Abstract

Introduction: Dengue is a mosquito-borne tropical disease that according to reports from the World Health Organization (WHO) leaves about 390 million people infected each year, it is one of the diseases that most affects the health of the population and the economy worldwide. Consequently, many efforts have been made from different areas of knowledge to deal with this disease.

Objective: The objective of this article is to present a conceptualization of the dengue disease from an engineering perspective, characterizing its behavior in people and how the main technologies are conducting research for early prediction.

Method: Specialized databases such as SCOPUS, WOS, IEEE, PUBMED were consulted for its development. Likewise, a review was made of how information and communication technologies (ICT) and computational sciences are advancing research for the early prediction of dengue.

Result: As a result, it was obtained that the main technologies are Machine Learning, Big Data and Artificial Intelligence with the development of models capable of predicting the disease early. There are many specific techniques used, however, they are not addressed in this article, only the conceptualization of the main technologies is presented.