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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. This work proposes a systematic mapping 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 application, which were validated in different communities and/or regions. The main results obtained were 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.