Classification of community-acquired outbreaks for the global transmission of COVID-19: Machine learning and statistical model analysis
Background: As Coronavirus disease 2019 (COVID-19) pandemic led to the unprecedent largescale repeated surges of epidemics worldwide since the end of 2019, data-driven analysis to look into the duration and case load of each episode of outbreak worldwide has been motivated. Methods: Using open data...
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Main Authors: | , , , , , , , , |
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Format: | Article |
Language: | English English |
Published: |
Elsevier
2021
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Subjects: | |
Online Access: | https://eprints.ums.edu.my/id/eprint/32677/1/Classification%20of%20community-acquired%20outbreaks%20for%20the%20global%20transmission%20of%20COVID-19_%20Machine%20learning%20and%20statistical%20model%20analysis.pdf https://eprints.ums.edu.my/id/eprint/32677/3/Classification%20of%20community-acquired%20outbreaks%20for%20the%20global%20transmission%20of%20COVID-19_%20Machine%20learning%20and%20statistical%20model%20analysis%20_ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/32677/ https://www.sciencedirect.com/science/article/pii/S0929664621002230 https://doi.org/10.1016/j.jfma.2021.05.010 |
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Institution: | Universiti Malaysia Sabah |
Language: | English English |