Construcción de una herramienta computacional para el análisis de estrategias de salud pública para dengue en Costa Rica

Dengue is a disease with a severe impact on global health. It is estimated that more than 390 million people
contract the disease annually. In Costa Rica, the number of reported cases exceeded 18,000 in 2020.
Symptoms of the disease can be mistaken for a common flu and, in the worst case, can lead to death. There is
no effective medical treatment against dengue, nor is there a massive vaccination campaign. Consequently,
the design of public health policies is crucial to control the spread of the disease. For an accurate
epidemiological decision-making, it is valuable to consider the multiple variables that affect dengue epidemics.
In addition to the characteristics of the disease, it has been shown that meteorological variables are closely
linked to the presence of dengue. However, it is also suspected that socio-economic variables could also have
an influence. Furthermore, population mobility is another dimension that adds dynamism to a dengue
epidemic. Therefore, it is valuable to consider all these variables in a computational tool that allows identifying
interrelationships of the variables and visualizing these relationships in a georeferenced way. This project aims
to build a dashboard that allows understanding the interaction of variables that affect dengue epidemics.

Construir una herramienta computacional para el análisis de estrategias de salud pública
para dengue en Costa Rica

1) Teoría y Metodologías en Computación
2) Aplicación de la computación en distintos dominios científicos, tecnológicos, organizacionales y sociales