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Risco: a COVID-19 mobile application with contact tracing
Author(s) -
Fernando López-López,
Fernando NietoMorales,
Ana Paula Huerta-Pérez,
Jocelyn Hazel Bolaños-Baez,
Yolanda B. Bustos Moreno
Publication year - 2021
Publication title -
avances en interacción humano computadora
Language(s) - English
Resource type - Journals
ISSN - 2594-2352
DOI - 10.47756/aihc.y6i1.92
Subject(s) - contact tracing , covid-19 , pandemic , analytics , computer science , tracing , medical emergency , medicine , data science , virology , infectious disease (medical specialty) , operating system , pathology , disease , outbreak
The pandemic from 2019 has led us to the implementation of different protocols to reduce the number of infections per day and avoid the overwhelming of the health centers. Until 2021, the implemented methodologies to stop the continuous growth of the pandemic have greatly reduced the infections, but they are not enough for the society. Thus, we propose Risco, an application that will aid not only in the reduction of infections via the early detection of contact with infected people by providing real time analytics and contact tracing support but improve the awareness of the user location data.

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