Predictive Analytics of the Covid-19 Outbreak Under Uncertainty of the Disease Spreading
COVID-19 pandemic was identified in Wuhan, China in 2019 and has spread at a tremendous rate affecting all countries over the world. Understanding the spreading disease is crucial; hence, the dynamic behaviour of the disease can be predicted. This paper is aimed to model the COVI...
| Main Authors: | Norhayati, Rosli, Noryanti, Muhammad, Muhammad Fahmi, Ahmad Zuber |
|---|---|
| Format: | Book Chapter |
| Language: | English English |
| Published: |
Penerbit UMP
2023
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/37683/ http://umpir.ump.edu.my/id/eprint/37683/1/Predictive%20Analytics%20of%20the%20Covid-19%20Outbreak%20Under%20Uncertainty%20of%20the%20Disease%20Spreading.pdf http://umpir.ump.edu.my/id/eprint/37683/2/%28FULL%29%20PREDICTIVE%20ANALYTICS%20OF%20THE%20COVID-19%20OUTBREAK%20UNDER%20UNCERTAINTY%20OF%20THE%20DISEASE%20SPREADING.pdf |
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