Over the past decades, the emergence and re-emergence of vector-borne diseases, as well as the complexity involved in their transmission dynamics, has demanded an interdisciplinary approach to help guide the development and implementation of novel tools for prevention and control. In this process, the use of mathematical and statistical models are increasingly being recognized as relevant tools for public health authorities. These models have increased our understanding of the particular characteristics under which an outbreak or epidemic begins and evolves opening. Now more than ever, the possibilities to predict the beginning and possible final size of an epidemic.


  • Mathematical models to study Dengue and Zika dynamics in Costa Rica.
  • Develop early warning tools to determine the places of greatest epidemiological risk in the country.
  • Study the impact of climatic variables on Dengue annual outbreaks using Machine Learning Algorithms.