Executor Support  Asociated      
CIMA ProCiencia CONACYT Universidad Nacional de Caaguazú CEDIC Universidad Nacional de Concepción Facultad Politécnica - UNA

Conacyt Proyect PINV15-706

Objective

Construct and verify a mathematical model to predict the incidence rate of dengue fever, according to environmental, health and epidemiological variables and in the presence of anti-dengue intervention actions. This translates into 4 specific objectives:

  1. Use historical data to identify and define environmental, health and epidemiological variables that allow the construction and evaluation of a mathematical model that predicts the incidence rate of dengue in the city of Asunción.

  2. Evaluate the generalization capacity of this model in similar communities of Paraguay.

  3. Identify the most appropriate algorithmic techniques to generate the mathematical model; design and implement software to help decision-making for the establishment actions against dengue according to the predicted incidence rate. 

  4. Identify the most appropriate algorithmic techniques to generate the mathematical model; design and implement software to help decision-making and to establish actions against dengue according to the predicted incidence rate.

  5. Consolidate a network team to apply this methodology in related cases in Paraguay using the newly developed software.

Director

Daniel Romero

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Researchers


Comunications

  • Jul/13/2017 First Comidenco Meeting, carried out on the San Lorenzo campus, with participation of all the researchers and invited students..
  • Aug/22/2017 Second Meeting of Researchers organized by the Scientific Society of Paraguay -- Poster presented..

Actividades