Jafer Hassan Abdikadir, Amen Tamene Gemeda, S. Mwongela
{"title":"An IoT Based Web Application for Tracking and Managing Covid-19 Related Data. A Case of Kenyan Learning Institutions","authors":"Jafer Hassan Abdikadir, Amen Tamene Gemeda, S. Mwongela","doi":"10.23919/IST-Africa56635.2022.9845528","DOIUrl":null,"url":null,"abstract":"Since the dawn of COVID-19, everything has changed drastically. From education to business, all sectors of peoples’ lives have been affected. An arising issue from the current situation is the tracking and managing of COVID-19 related data. With the resumption of educational institutions in Kenya, adherence to protocols provided by the ministry of education is paramount. One of the guidelines provided for the resumption of schools is thermal monitoring/screening of people, which has been implemented differently across the country. Some universities have opted for checking students’ temperatures and not keeping a record of this information. Others require students to go through a check-up to give their details, and their temperature is recorded. The flaw with this system is inadequate record-keeping as the records are manual, which leads to a hectic analysis. The research aimed to find a solution to better manage and analyse COVID-19 data. The solution was implemented using IoT technology and AI, where a camera and a temperature sensor was used to record the temperature and identify the students. The research methods applied were experimental and a case study of Kenyan universities. A progressive web application is used to interact with the system. The solution was able to improve on data management and analysis, among other benefits.","PeriodicalId":142887,"journal":{"name":"2022 IST-Africa Conference (IST-Africa)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IST-Africa Conference (IST-Africa)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/IST-Africa56635.2022.9845528","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
Since the dawn of COVID-19, everything has changed drastically. From education to business, all sectors of peoples’ lives have been affected. An arising issue from the current situation is the tracking and managing of COVID-19 related data. With the resumption of educational institutions in Kenya, adherence to protocols provided by the ministry of education is paramount. One of the guidelines provided for the resumption of schools is thermal monitoring/screening of people, which has been implemented differently across the country. Some universities have opted for checking students’ temperatures and not keeping a record of this information. Others require students to go through a check-up to give their details, and their temperature is recorded. The flaw with this system is inadequate record-keeping as the records are manual, which leads to a hectic analysis. The research aimed to find a solution to better manage and analyse COVID-19 data. The solution was implemented using IoT technology and AI, where a camera and a temperature sensor was used to record the temperature and identify the students. The research methods applied were experimental and a case study of Kenyan universities. A progressive web application is used to interact with the system. The solution was able to improve on data management and analysis, among other benefits.