{"title":"Design of an Intelligent Bracelet Based on IOT and LORA Protocol to Identify New COVID-19 Contact Cases","authors":"Karima Zouari, Omar Houmanat, I. Cherti, M. Bahaj","doi":"10.1109/ICDATA52997.2021.00047","DOIUrl":null,"url":null,"abstract":"COVID-19 is one of the most dangerous pandemics in human history. First emerged in Wuhan, China, in December 2019, it has become a concern to all countries of the world. This virus only needs a short distance to spread rapidly between humans, and even if we could locate all the infected individuals, this would not solve the problem. The real solution is to identify all the people who have come in contact with the virus carrier. This paper is a study on online monitoring, intelligent assisted diagnosis, and treatment assistance for covid-19 in terms of early identification, social distancing, and quarantine. While focusing on wireless healthcare networks, the internet of things, and cloud computing. A federated or hybrid approach leverages the strengths and mitigates the weaknesses of both Data Medical Technology and IOT to detect and alert people who have been exposed to covid-19.","PeriodicalId":231714,"journal":{"name":"2021 International Conference on Digital Age & Technological Advances for Sustainable Development (ICDATA)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Digital Age & Technological Advances for Sustainable Development (ICDATA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDATA52997.2021.00047","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
COVID-19 is one of the most dangerous pandemics in human history. First emerged in Wuhan, China, in December 2019, it has become a concern to all countries of the world. This virus only needs a short distance to spread rapidly between humans, and even if we could locate all the infected individuals, this would not solve the problem. The real solution is to identify all the people who have come in contact with the virus carrier. This paper is a study on online monitoring, intelligent assisted diagnosis, and treatment assistance for covid-19 in terms of early identification, social distancing, and quarantine. While focusing on wireless healthcare networks, the internet of things, and cloud computing. A federated or hybrid approach leverages the strengths and mitigates the weaknesses of both Data Medical Technology and IOT to detect and alert people who have been exposed to covid-19.