Lossio-Ventura Juan Antonio, Alatrista-Salas Hugo, Barrena Kevin, Linos Eleni, Nunez-Del-Prado Miguel, Talavera Alvaro
Department of Medicine, Stanford University, California, USA.
School of Engineering, Universidad del Pacífico, Lima, Peru.
Proceedings (IEEE Int Conf Bioinformatics Biomed). 2020 Dec;2020:2264-2267. doi: 10.1109/BIBM49941.2020.9313419. Epub 2021 Jan 13.
The COVID-19 crisis has produced worldwide changes from people's lifestyles to travel restrictions imposed by world's nations aiming to keep the virus out. Several countries have created digital information applications to help control and manage the COVID-19 crisis, such as the creation of contact tracing apps. The Peruvian government in collaboration with several institutions developed , an epidemiological tracing application. The application uses georeferencing to study users' movements and creates individual mobility patterns from the Peruvian citizens as well as detects crowds. In this article, we present a process to detect possible infected individuals based on probabilities assigned to people that had contact with someone who tested positive for COVID-19, using data collected from . The preliminary evaluation shows promising results when detecting probabilities of possible infected individuals as well as the most infected districts in Peru. The ultimate goal of the application in Peru is to provide reliable information to health authorities to make informed decisions about the assignations of the available clinical tests and the economic re-activation.
新冠疫情危机已在全球范围内引发了诸多变化,从人们的生活方式到世界各国为防止病毒传入而实施的旅行限制。一些国家开发了数字信息应用程序来帮助控制和管理新冠疫情危机,比如创建接触者追踪应用程序。秘鲁政府与多个机构合作开发了一款流行病学追踪应用程序。该应用程序利用地理定位来研究用户的行动轨迹,并根据秘鲁公民创建个人出行模式,同时还能检测人群聚集情况。在本文中,我们展示了一个基于接触过新冠病毒检测呈阳性者的人群所被赋予的概率来检测可能感染个体的过程,所使用的数据来自[具体来源未提及]。初步评估表明,在检测秘鲁可能感染个体的概率以及感染最严重的地区时,该方法取得了令人鼓舞的结果。该应用程序在秘鲁的最终目标是向卫生当局提供可靠信息,以便就现有临床试验的分配和经济重启做出明智决策。