M. Elhussein, H. Gull, Aeshah Alobaid, Aseel Ajez, Reem Aldulaijan, M. Alasfoor, N. Algaraawi
{"title":"Big Data Framework for Health Informatics : A Solution for Influenza Surveillance in Saudi Arabia","authors":"M. Elhussein, H. Gull, Aeshah Alobaid, Aseel Ajez, Reem Aldulaijan, M. Alasfoor, N. Algaraawi","doi":"10.1109/NCG.2018.8593083","DOIUrl":null,"url":null,"abstract":"After the discovery of the first Corona case in Saudi Arabia in 2012, it became a government priority to provide accurate information for the local and the international community. The disease which has influenza-like symptoms requires surveillance in order to know how to direct resources to where it is needed. Big Data has been successfully used in disaster management and in reporting wildfires in the US. By applying this framework, real-time insight to the status of the spread of the disease can deliver invaluable information that can be used in saving lives. This paper proposes a Big Data framework for collecting Health Informatics and it’s accompanying analytical framework for the purpose of reporting on influenza and Corona cases in the Saudi Arabia.","PeriodicalId":305464,"journal":{"name":"2018 21st Saudi Computer Society National Computer Conference (NCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 21st Saudi Computer Society National Computer Conference (NCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NCG.2018.8593083","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
After the discovery of the first Corona case in Saudi Arabia in 2012, it became a government priority to provide accurate information for the local and the international community. The disease which has influenza-like symptoms requires surveillance in order to know how to direct resources to where it is needed. Big Data has been successfully used in disaster management and in reporting wildfires in the US. By applying this framework, real-time insight to the status of the spread of the disease can deliver invaluable information that can be used in saving lives. This paper proposes a Big Data framework for collecting Health Informatics and it’s accompanying analytical framework for the purpose of reporting on influenza and Corona cases in the Saudi Arabia.