Mobile Application to Alert Health Risks in Schools in Peru based on the Experience of Expert Teacher

Abstract

The new COVID-19 coronavirus outbreak at the end of 2019 has posed a tremendous threat to the whole world. Driven by the need to return to classes in a face-to-face manner and to be able to prevent the spread of contagions, using Scrum methodology, we developed a prototype of a mobile application with facial recognition to detect and alert users with high temperature, suspicion related to COVID-19 and track nearby contacts. Real-time data is obtained from each user's device through the mobile application to allow measures to be taken and isolate users with suspected cases of the virus. In this way, the contagion and spread of COVID-19 in Peruvian schools can be controlled.

Keywords

• COVID-19, contagions, close contacts facial recognition, suspicions.