2023
DOI: 10.1016/j.heliyon.2023.e14231
|View full text |Cite
|
Sign up to set email alerts
|

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

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 36 publications
0
2
0
Order By: Relevance
“…Ershadi and Shemirani (2022) [ 39 ] enriched the literature with a multi-objective optimization model designed for crisis response planning, encompassing considerations for injured individuals and logistical planning. In a recent contribution, Zhu et al (2023) [ 40 ] introduced an SEIAR model specifically tailored to analyze the efficacy of multiple epidemic prevention measures for COVID-19. Their work underscored the importance of diverse strategies in effectively managing the pandemic.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Ershadi and Shemirani (2022) [ 39 ] enriched the literature with a multi-objective optimization model designed for crisis response planning, encompassing considerations for injured individuals and logistical planning. In a recent contribution, Zhu et al (2023) [ 40 ] introduced an SEIAR model specifically tailored to analyze the efficacy of multiple epidemic prevention measures for COVID-19. Their work underscored the importance of diverse strategies in effectively managing the pandemic.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Models of this type try to predict how a disease spreads, the number of people infected, or the duration of a pandemic and to estimate various epidemiological parameters such as the reproduction number. Such models can also attempt to explain how different public health interventions imposed by authorities may affect the outcome of the pandemic [21] , [22] .…”
Section: Introductionmentioning
confidence: 99%