An Agent Based Model with GIS structure to evaluate the effects of a Contact-Tracing App on Coronavirus spread.
During the current pandemic of COVID-19 the importance of contact tracing applications has been an argument of debate. In Europe, the governments are releasing these apps, each with its own characteristics, in Italy it is available Immuni. We develop a SEIR agent-based model with GIS (Geographical Information System) environmental structure to simulate COVID-19 dynamics as a function of the number of people who use the app Immuni and the time lag that occurs between infection and sending the warning message. In particular, we focus our work on the capital of the most hit region by the epidemic, Milan. The study shows that the use of Immuni is relevant only if a high number of Milan’s citizens download the application. Furthermore, to increase the efficiency of Immuni is essential to decrease the days of delay between symptoms and the confirmation of being infected with a nasal swab.
Here is the graphical representation of the world we are considering:
And here, a sample from the analysis we conducted that you can find in the file:
