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Leveraging Wi-Fi Big Data Streams to Support COVID-19 Contact Tracing
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Author(s): Heba Atteya (The American University in Cairo, Egypt), Iman Megahed (The American University in Cairo, Egypt)and Mohamed Abdelmageed El Touhamy (The American University in Cairo, Egypt)
Copyright: 2023
Pages: 14
Source title:
Encyclopedia of Data Science and Machine Learning
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-7998-9220-5.ch016
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Abstract
In this article, the authors discuss the different digital contact tracing solutions and address the data privacy and ethical guidelines of implementing such solutions. They also present a detailed case study for how The American University in Cairo leveraged wi-fi big data streams to improve the efficacy of the questionnaire-based contact tracing approach and demonstrate how the use of digital solutions have supported the plan of a safe return to the campus. They present the detailed technical design of the solution, address the solution challenges and limitations, the testing results, and discuss the cultural awareness efforts to ensure community acceptance and approval of the solution.
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