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...

詳細記述

書誌詳細
主要な著者: Yajie Zhu, Feng Liu, Yulong Bai, Zebin Zhao, Chunfeng Ma, Adan Wu, Lijin Ning, Xiaowei Nie
フォーマット: 論文
言語:English
出版事項: Elsevier 2023-03-01
シリーズ:Heliyon
主題:
Data assimilation
Human activities
Active cases
Mathematical modelling
Metropolis–hastings sampling
オンライン･アクセス:http://www.sciencedirect.com/science/article/pii/S240584402301438X

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

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