Effectiveness analysis of multiple epidemic prevention measures in the context of COVID-19 using the SVIRD model and ensemble Kalman filter-Reference-Cited by-同舟云学术

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

Published:2023-03 Issue:3 Volume:9 Page:e14231
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Zhu Yajie,Liu Feng,Bai Yulong,Zhao Zebin,Ma Chunfeng,Wu Adan,Ning Lijin,Nie Xiaowei

Funder

National Natural Science Foundation of China

Science and Technology Department of Gansu Province

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference43 articles.

1. An SIR epidemic model for COVID-19 spread with fuzzy parameter: the case of Indonesia;Abdy;Adv. Differ. Equ.,2021

2. Modelling the COVID-19 epidemic and implementation of population-wide interventions in Italy;Giordano;Nat. Med.,2020

3. A data driven analysis and forecast of COVID-19 dynamics during the third wave using SIRD model in Bangladesh;Faruk;COVID,2021

4. Modified SEIR and AI prediction of the epidemics trend of COVID-19 in China under public health interventions;Yang;J. Thorac. Dis.,2020

5. Simulating immunization campaigns and vaccine protection against COVID-19 pandemic in Brazil;Amaral;IEEE Access,2021

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Compartmental modeling for pandemic data analysis: The gap between statistics and models;Heliyon;2024-06

2. Uncertain SEIAR system dynamics modeling for improved community health management of respiratory virus diseases: A COVID-19 case study;Heliyon;2024-02

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