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...

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Detalles Bibliográficos
Autores principales: Valeriano, João Pedro, Cintra, Pedro Henrique, Libotte, Gustavo, Reis, Igor, Fontinele, Felipe, Silva, Renato, Malta, Sandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2022
Materias:
Original Paper
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

Internet

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

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