(Proyecto) Inteligencia artificial y sistemas de alerta temprana, basados en eco-epidemiología para mejorar la respuesta de salud pública ante virus transmitidos por Aedes en la República Dominicana.
(Proyecto) Inteligencia artificial y sistemas de alerta temprana, basados en eco-epidemiología para mejorar la respuesta de salud pública ante virus transmitidos por Aedes en la República Dominicana.
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Date
2026
Authors
Manuel Colomé
Demian Arturo Herrera Morbán
Silverio del Orbe
Yasser Malena Coronado
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Abstract
Diseases transmitted by mosquitoes of the genus Aedes provoke over 50 million infections and 25,000 deaths every year. Climate Change has exacerbated the issue as these mosquitoes, and the pathogens they transmit, reach more countries. With 10,000 cases every year, the Dominican Republic has one of the highest fatality rates caused by these diseases in Latin America and the Caribbean. As an island, the country is also one of the most vulnerable in the world to Climate Change. This emphasizes the need for urgent action to face the problem. Artificial Intelligence can be applied to the study of environmental alterations and their impact on the dynamics of these diseases. While also taking advantage of existing epidemiological surveillance data, the identification of a more effective monitoring of mosquito-borne diseases like Dengue, Zika, Chikungunya, among others-will become a reality. The aim of the proposed study is to design an early warning system for improving Aedes-borne virus outbreak response. Focusing on the implementation of these systems in specific locations of the Dominican Republic. And evaluating their effectiveness in the betterment of the Public Health response. It is expected that the results of this research provide valuable information for the planning and execution of prevention and control programs for mosquito-borne diseases in the Caribbean region and other areas of the world with similar Public Health challenges.
Description
Objetivo General:
Design a predictive model of Aedes-borne viruses in the Dominican Republic that provides early warnings of outbreaks and streamlines Public Health responses.
Objetivos específicos:
1. Describe the epidemiology and trends of viruses transmitted by Aedes mosquitoes.
2. Detect outbreaks using suspected, probable, and confirmed cases of Aedes-transmitted diseases as a response variable.
3. Determine the impact of the coexistence of other arboviruses in the incidence of primary outbreaks.
4. Predict successfully the incidence of Aedes-borne virus outbreaks based on entomological, meteorological and epidemiological variables.