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Carrasco, W., (2022). Mobile application for the timely detection of potential COVID-19 infections [Tesis, Universidad Privada del Norte]. https://hdl.handle.net/11537/31757
Carrasco, W., Mobile application for the timely detection of potential COVID-19 infections [Tesis]. PE: Universidad Privada del Norte; 2022. https://hdl.handle.net/11537/31757
@misc{renati/1674744,
title = "Mobile application for the timely detection of potential COVID-19 infections",
author = "Carrasco Teran, Wilson Fernando",
publisher = "Universidad Privada del Norte",
year = "2022"
}
Title: Mobile application for the timely detection of potential COVID-19 infections
Authors(s): Carrasco Teran, Wilson Fernando
Advisor(s): Uceda Martos, Patricia Janet
Keywords: Infection detection; Mobile application; Android; Covid-19; Contagion reduction
OCDE field: https://purl.org/pe-repo/ocde/ford#2.02.04
Issue Date: 28-Aug-2022
Institution: Universidad Privada del Norte
Abstract: The objective of this study is to determine user acceptance of a mobile application for the timely detection of possible COVID-19 infections in the city of Cajamarca. For this purpose, the mobile application Covid Alerta (Covid Alert) was developed for devices with the Android operating system. The OpenUp software development methodology was used for the development of this application. The applied, quantitative, exploratory research used 2 survey forms: one to measure how the detection of COVID-19 was carried out in the city of Cajamarca, and another to measure the impact of using a mobile application to detect infected contacts. The results indicated that the most reliable screening tests are molecular tests; in addition, 85% of respondents felt much safer receiving alerts of infected contacts on their mobile devices. Likewise, 88.5% indicated confidently that the application complies with registering and reporting infected contacts. This shows that 88.8% of users accepted the use of mobile applications for the timely detection of possible COVID-19 infections.
Link to repository: https://hdl.handle.net/11537/31757
Discipline: Ingeniería de Sistemas Computacionales
Grade or title grantor: Universidad Privada del Norte. Facultad de Ingeniería
Grade or title: Ingeniero de Sistemas Computacionales
Juror: Romero Zegarra, Fidel Oswaldo; Pérez Aguilar, Daniel Alexis; López Martos, Rosa Marleny
Register date: 11-Nov-2022
This item is licensed under a Creative Commons License