Effectiveness analysis of multiple epidemic prevention measures in the context of COVID-19 using the SVIRD model and ensemble Kalman filter

Effectiveness analysis of multiple epidemic prevention measures in the context of COVID-19 using the SVIRD model and ensemble Kalman filter

The ability to accurately forecast the spread of coronavirus disease 2019 (COVID-19) is of great importance to the resumption of societal normality. Existing methods of epidemic forecasting often ignore the comprehensive analysis of multiple epidemic prevention measures. This paper aims to analyze v...

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Bibliographische Detailangaben
Hauptverfasser: Yajie Zhu, Feng Liu, Yulong Bai, Zebin Zhao, Chunfeng Ma, Adan Wu, Lijin Ning, Xiaowei Nie
Format: Artikel
Sprache:English
Veröffentlicht: Elsevier 2023-03-01
Schriftenreihe:Heliyon
Schlagworte:
Data assimilation
Human activities
Active cases
Mathematical modelling
Metropolis–hastings sampling
Online Zugang:http://www.sciencedirect.com/science/article/pii/S240584402301438X

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http://www.sciencedirect.com/science/article/pii/S240584402301438X

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