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...

Podrobná bibliografie
Hlavní autoři:	Yajie Zhu, Feng Liu, Yulong Bai, Zebin Zhao, Chunfeng Ma, Adan Wu, Lijin Ning, Xiaowei Nie
Médium:	Článek
Jazyk:	English
Vydáno:	Elsevier 2023-03-01
Edice:	Heliyon
Témata:	Data assimilation Human activities Active cases Mathematical modelling Metropolis–hastings sampling
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S240584402301438X

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