A novel pandemic tracking map: From theory to implementation
| Author | Gouissem, Ala |
| Author | Abualsaud, Khalid |
| Author | Yaacoub, Elias |
| Author | Khattab, Tamer |
| Author | Guizani, Mohsen |
| Available date | 2022-10-31T19:21:53Z |
| Publication Date | 2021 |
| Publication Name | IEEE Access |
| Resource | Scopus |
| Abstract | The wide spread of the novel COVID-19 virus all over the world has caused major economical and social damages combined with the death of more than two million people so far around the globe. Therefore, the design of a model that can predict the persons that are most likely to be infected is a necessity to control the spread of this infectious disease as well as any other future novel pandemic. In this paper, an Internet of Things (IoT) sensing network is designed to anonymously track the movement of individuals in crowded zones through collecting the beacons of WiFi and Bluetooth devices from mobile phones to triangulate and estimate the locations of individuals inside buildings without violating their privacy. A mathematical model is presented to compute the expected time of exposure between users. Furthermore, a virus spread mathematical model as well as iterative spread tracking algorithms are proposed to predict the probability of individuals being infected even with limited data. 2013 IEEE. |
| Sponsor | This work was supported by the Qatar National Research Fund (a member of The Qatar Foundation) through the National Priorities Research Program (NPRP) Award under Grant NPRP 10-1205-160012. |
| Language | en |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Subject | contagious map COVID-19 modeling pandemic tracking virus spread |
| Type | Article |
| Pagination | 51106-51120 |
| Volume Number | 9 |
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