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Sequential time-window learning with approximate Bayesian computation: an application to epidemic forecasting
The long duration of the COVID-19 pandemic allowed for multiple bursts in the infection and death rates, the so-called epidemic waves. This complex behavior is no longer tractable by simple compartmental model and requires more sophisticated mathematical techniques for analyzing epidemic data and ge...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Netherlands
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9510304/ https://www.ncbi.nlm.nih.gov/pubmed/36188164 http://dx.doi.org/10.1007/s11071-022-07865-x |