Registration and follow-up of people with suspected COVID-19 by means of mobile applications: A mapping study

Abstract

In December 2020 will be two years since the firstcase of COVID-19 was reported by the OMS. Many strategies andpolicies of isolation and social distancing have been put in placearound the world since this event to avoid contagion. At the sametime, many mobile applications started to develop to register andtrace people with suspected coronavirus in order to avoid the chainof COVID-19 infections. In this work we propose a systematicreview of mobile applications to registration and tracing of peoplewith suspected coronavirus. To develop this research, threecitation databases were used: Scopus, Web of Science and PudMed.Sixteen articles have been identified proposing the implementationof this type of applications, which were validated in differentcommunities and/or regions. The main results obtained was first-hand knowledge of the reality of how the COVID-19 diseaseexpands, evolves and is registered. On the one hand, theseapplications offer a solution that allows social contact with adultsand young people, on the other hand, they could guarantee quickand timely action for decision making. Those types of applicationscan be considered as a real-time population health surveillancesystem, with this approach would have the ability to convert datainto usable information to initiate appropriate and localized publichealth actions in a community and/or institution that are trying toavoid the chain of COVID-19 contagions.