CTAP: Covid-19 Tracking Application

A. Mokdad, Jamal Haydar, Julia Itani, W. Fahs
{"title":"CTAP: Covid-19 Tracking Application","authors":"A. Mokdad, Jamal Haydar, Julia Itani, W. Fahs","doi":"10.1109/acit53391.2021.9677142","DOIUrl":null,"url":null,"abstract":"In this paper, we propose an android mobile application, Covid-19 tracking application, that checks the social distance between the users, informs them of any encounter with a user positively tested with the virus, and informs the user of the basic coronavirus stats and information. This proposed application has been successfully implemented using Kotlin for the front-end, and Java for the back-end. The implementation of this application resulted in alerting the users who are violating social distancing by standing less than 2 meters next to other users, and notifying them of any encounter with a user positively tested with Covid-19. The percentage of error in distance measurement using Global Positioning System (GPS) is low, having an average value of 3.304%.","PeriodicalId":302120,"journal":{"name":"2021 22nd International Arab Conference on Information Technology (ACIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 22nd International Arab Conference on Information Technology (ACIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/acit53391.2021.9677142","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In this paper, we propose an android mobile application, Covid-19 tracking application, that checks the social distance between the users, informs them of any encounter with a user positively tested with the virus, and informs the user of the basic coronavirus stats and information. This proposed application has been successfully implemented using Kotlin for the front-end, and Java for the back-end. The implementation of this application resulted in alerting the users who are violating social distancing by standing less than 2 meters next to other users, and notifying them of any encounter with a user positively tested with Covid-19. The percentage of error in distance measurement using Global Positioning System (GPS) is low, having an average value of 3.304%.
CTAP: Covid-19跟踪应用程序
在本文中,我们提出了一个android移动应用程序,Covid-19跟踪应用程序,该应用程序可以检查用户之间的社交距离,通知他们任何遇到阳性病毒检测的用户,并告知用户基本的冠状病毒统计和信息。这个建议的应用程序已经成功地实现了,使用Kotlin作为前端,Java作为后端。该应用程序的实施可以提醒与其他用户站在2米以内的用户违反社交距离,并通知他们遇到新冠病毒检测呈阳性的用户。利用全球定位系统(GPS)测量距离的误差百分比较低,平均值为3.304%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信