En este trabajo se muestran los resultados preliminares del monitoreo y de la estimación de contaminantes atmosféricos en un punto estratégico dentro del distrito de San Isidro, Lima - Perú. Se emplearon sensores electroquímicos de bajo costo, portátiles, inalámbricos y geolocalizables para la captura de los niveles de contaminación que permiten obtener en tiempo real valores confiables que podrían emplearse no sólo para cuantificar la exposición de contaminación atmosférica sino también para prevención y control, e incluso para fines legislativos. Para la previsión de los niveles de CO2 y de SO2 se aplicaron algoritmos de inteligencia computacional, específicamente redes neuronales.

The COVID-19 crisis has produced worldwide changes from people’s lifestyles to travel restrictions imposed by world’s nations aiming to keep the virus out. Several countries have created digital information applications to help control and manage the COVID-19 crisis, such as the creation of contact tracing apps. The Peruvian government in collaboration with several institutions developed PerúEnTusManos, an epidemiological tracing application. The application uses georeferencing to study users’ movements and creates individual mobility patterns from the Peruvian citizens as well as detects crowds. In this article, we present a process to detect possible infected individuals based on probabilities assigned to people that had contact with someone who tested positive for COVID-19, using data collected from PerúEnTusManos. The preliminary evaluation shows promising results when detect...