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 first
case of COVID-19 was reported by the OMS. Many strategies and
policies of isolation and social distancing have been put in place
around the world since this event to avoid contagion. At the same
time, many mobile applications started to develop to register and
trace people with suspected coronavirus in order to avoid the chain
of COVID-19 infections. In this work we propose a systematic
review of mobile applications to registration and tracing of people
with suspected coronavirus. To develop this research, three
citation databases were used: Scopus, Web of Science and PudMed.
Sixteen articles have been identified proposing the implementation
of this type of applications, which were validated in different
communities and/or regions. The main results obtained was first-
hand knowledge of the reality of how the COVID-19 disease
expands, evolves and is registered. On the one hand, these
applications offer a solution that allows social contact with adults
and young people, on the other hand, they could guarantee quick
and timely action for decision making. Those types of applications
can be considered as a real-time population health surveillance
system, with this approach would have the ability to convert data
into usable information to initiate appropriate and localized public
health actions in a community and/or institution that are trying to
avoid the chain of COVID-19 contagions.