Delia Montero-Contreras, J. L. Quiroz-Fabián, Adriana Pérez-Espinosa, Rodrigo Rivera-Cerón
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引用次数: 1
Abstract
The COVID-19 pandemic took the world by surprise, its rapid spread and its death rate caused governments to make drastic decisions such as closing borders, establishing curfews, closing businesses, etc. in order to break the chains of infections. In many countries mobile apps were developed to have information on possible contagions and prevent their spread. This paper describes COVIUAM, a mobile app that collects information on suspected or confirmed cases of COVID-19 in members of the Metropolitan Autonomous University. Through the data collected by COVIUAM app, patterns can be identified in the information, for example in symptomatology data. The article highlights the design and architecture of COVIUAM app and presents two evaluations, one quantitative and one qualitative of the information collected and the use of the application.
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