PREPARE: PREdicting PAndemic's REcurring Waves Amidst Mutations, Vaccination, and Lockdowns
Fuente:
arXiv
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| Hauptverfasser: | , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866909332512178176 |
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| author | Shahtori, Narges M. Atashzar, S. Farokh |
| author_facet | Shahtori, Narges M. Atashzar, S. Farokh |
| contents | This study releases an adaptable framework that can provide insights to policymakers to predict the complex recurring waves of the pandemic in the medium postemergence of the virus spread, a phase marked by rapidly changing factors like virus mutations, lockdowns, and vaccinations, offering a way to forecast infection trends and stay ahead of future outbreaks even amidst uncertainty. The proposed model is validated on data from COVID-19 spread in Germany. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_00921 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | PREPARE: PREdicting PAndemic's REcurring Waves Amidst Mutations, Vaccination, and Lockdowns Shahtori, Narges M. Atashzar, S. Farokh Populations and Evolution Numerical Analysis Systems and Control Probability Chaotic Dynamics This study releases an adaptable framework that can provide insights to policymakers to predict the complex recurring waves of the pandemic in the medium postemergence of the virus spread, a phase marked by rapidly changing factors like virus mutations, lockdowns, and vaccinations, offering a way to forecast infection trends and stay ahead of future outbreaks even amidst uncertainty. The proposed model is validated on data from COVID-19 spread in Germany. |
| title | PREPARE: PREdicting PAndemic's REcurring Waves Amidst Mutations, Vaccination, and Lockdowns |
| topic | Populations and Evolution Numerical Analysis Systems and Control Probability Chaotic Dynamics |
| url | https://arxiv.org/abs/2410.00921 |