A Novel Pandemic Tracking Map: From Theory to Implementation

作者: Khalid Abualsaud , Ala Gouissem , Tamer Khattab , Elias Yaacoub , Mohsen Guizani

DOI: 10.1109/ACCESS.2021.3067824

关键词:

摘要: The wide spread of the novel COVID-19 virus all over world has caused major economical and social damages combined with death more than two million people so far around globe. Therefore, design a model that can predict persons are most likely to be infected is necessity control this infectious disease as well any other future pandemic. In paper, an Internet Things (IoT) sensing network designed anonymously track movement individuals in crowded zones through collecting beacons WiFi Bluetooth devices from mobile phones triangulate estimate locations inside buildings without violating their privacy. A mathematical presented compute expected time exposure between users. Furthermore, iterative tracking algorithms proposed probability being even limited data.

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