Dominican Republic
Hub: Universidad Autonoma de Santo Domingo, Dominican Republic
Title: Artificial Intelligence and Eco-Epidemiology-Based Early Warning Systems for the Improvement of Public Health Response to Aedes-Borne Viruses in the Dominican Republic.
Team Members
Manuel Colome
Director
Ing. Radhames Silvero
Team Member
In. Silverio del Orbe
Team Member
Mariana Dauhajre
Team Member
Yasser Malena
Team Member
Michael Robert
Team Member
Damian Herrera
Team Member
Sofia Rodrigues
Team Member
Natalia Martins
Team Member
Pedro Alarcon
Team Member
Edian Franco
Team Member
Ing. Juan Pablo Disla
Team Member
Ing. Alba Gomez
Team MemberGeneral Objectives
Design a predictive model of Aedes-borne viruses in the Dominican Republic that provides early warnings of outbreaks and streamlines Public Health responses
Specific Objectives
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.