Single Parameter Estimation Approach for Robust Estimation of SIR Model With Limited and Noisy Data: The Case for COVID-19

OBJECTIVE: The susceptible-infected-removed (SIR) model and its variants are widely used to predict the progress of coronavirus disease 2019 (COVID-19) worldwide, despite their rather simplistic nature. Nevertheless, robust estimation of the SIR model presents a significant challenge, particularly w...

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Detalles Bibliográficos
Autores principales: Senel, Kerem, Ozdinc, Mesut, Ozturkcan, Selcen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2020
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7431866/
https://www.ncbi.nlm.nih.gov/pubmed/32580814
http://dx.doi.org/10.1017/dmp.2020.220

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7431866/
https://www.ncbi.nlm.nih.gov/pubmed/32580814
http://dx.doi.org/10.1017/dmp.2020.220

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