Nonlinear time series analysis of state-wise COVID-19 in Malaysia using wavelet and persistent homology
The nonlinear progression of COVID-19 positive cases, their fluctuations, the correlations in amplitudes and phases across different regions, along with seasonality or periodicity, pose challenges to thoroughly examining the data for revealing similarities or detecting anomalous trajectories. To add...
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| Main Authors: | , , , , |
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| 格式: | Article |
| 語言: | English |
| 出版: |
Springer Nature Limited
2024
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| 主題: | |
| 在線閱讀: | http://ir.unimas.my/id/eprint/46596/1/%282024%20Phang%20et%20al%29%20Sci%20Reps%20WoS%20Q1%20IF%203_8.pdf http://ir.unimas.my/id/eprint/46596/ https://www.nature.com/articles/s41598-024-79002-0 https://doi.org/10.1038/s41598-024-79002-0 |
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