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A multi-stage SEIR(D) model of the COVID-19 epidemic in Korea.
Ann Med. 2021 12; 53(1):1159-1169.AM

Abstract

BACKGROUND

This paper uses a SEIR(D) model to analyse the time-varying transmission dynamics of the COVID-19 epidemic in Korea throughout its multiple stages of development. This multi-stage estimation of the model parameters offers a better model fit compared to the whole period analysis and shows how the COVID-19's infection patterns change over time, primarily depending on the effectiveness of the public health authority's non-pharmaceutical interventions (NPIs).

METHODS

This paper uses the SEIR(D) compartment model to simulate and estimate the parameters for three distinctive stages of the COVID-19 epidemic in Korea, using a manually compiled COVID-19 epidemic dataset for the period between 18 February 2020 and 08 February 2021. The paper identifies three major stages of the COVID-19 epidemic, conducts multi-stage estimations of the SEIR(D) model parameters, and carefully infers context-dependent meaning of the estimation results to help better understand the unique patterns of the transmission of the novel coronavirus (SARS-CoV-2) in each stage.

RESULTS

The original SIR compartment model may produce a poor and even misleading estimation result if it is used to cover the entire period of the epidemic. However, if we use the model carefully in distinctive stages of the COVID-19 epidemic, we can find useful insights into the nature of the transmission of the novel coronavirus and the relative effectiveness of the government's non-pharmaceutical interventions over time.Key messagesIdentifies three distinctive waves of the COVID-19 epidemic in Korea.Conducts multi-stage estimations of the COVID-19 transmission dynamics using SEIR(D) epidemic models.The transmission dynamics of the COVID-19 vary over time, primarily depending on the relative effectiveness of the government's non-pharmaceutical interventions (NPIs).The SEIR(D) epidemic model is useful and informative, but only when it is used carefully to account for the presence of multiple waves and context-dependent infection patterns in each wave.

Authors+Show Affiliations

Department of Economics, Raj Soin College of Business, Wright State University, Dayton, OH, USA.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

34269629

Citation

Shin, Hee-Young. "A Multi-stage SEIR(D) Model of the COVID-19 Epidemic in Korea." Annals of Medicine, vol. 53, no. 1, 2021, pp. 1159-1169.
Shin HY. A multi-stage SEIR(D) model of the COVID-19 epidemic in Korea. Ann Med. 2021;53(1):1159-1169.
Shin, H. Y. (2021). A multi-stage SEIR(D) model of the COVID-19 epidemic in Korea. Annals of Medicine, 53(1), 1159-1169. https://doi.org/10.1080/07853890.2021.1949490
Shin HY. A Multi-stage SEIR(D) Model of the COVID-19 Epidemic in Korea. Ann Med. 2021;53(1):1159-1169. PubMed PMID: 34269629.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - A multi-stage SEIR(D) model of the COVID-19 epidemic in Korea. A1 - Shin,Hee-Young, PY - 2021/7/16/entrez PY - 2021/7/17/pubmed PY - 2021/7/24/medline KW - (South) Korea KW - COVID-19 KW - epidemic model KW - non-pharmaceutical interventions (NPIs) KW - the SEIR(D) model SP - 1159 EP - 1169 JF - Annals of medicine JO - Ann Med VL - 53 IS - 1 N2 - BACKGROUND: This paper uses a SEIR(D) model to analyse the time-varying transmission dynamics of the COVID-19 epidemic in Korea throughout its multiple stages of development. This multi-stage estimation of the model parameters offers a better model fit compared to the whole period analysis and shows how the COVID-19's infection patterns change over time, primarily depending on the effectiveness of the public health authority's non-pharmaceutical interventions (NPIs). METHODS: This paper uses the SEIR(D) compartment model to simulate and estimate the parameters for three distinctive stages of the COVID-19 epidemic in Korea, using a manually compiled COVID-19 epidemic dataset for the period between 18 February 2020 and 08 February 2021. The paper identifies three major stages of the COVID-19 epidemic, conducts multi-stage estimations of the SEIR(D) model parameters, and carefully infers context-dependent meaning of the estimation results to help better understand the unique patterns of the transmission of the novel coronavirus (SARS-CoV-2) in each stage. RESULTS: The original SIR compartment model may produce a poor and even misleading estimation result if it is used to cover the entire period of the epidemic. However, if we use the model carefully in distinctive stages of the COVID-19 epidemic, we can find useful insights into the nature of the transmission of the novel coronavirus and the relative effectiveness of the government's non-pharmaceutical interventions over time.Key messagesIdentifies three distinctive waves of the COVID-19 epidemic in Korea.Conducts multi-stage estimations of the COVID-19 transmission dynamics using SEIR(D) epidemic models.The transmission dynamics of the COVID-19 vary over time, primarily depending on the relative effectiveness of the government's non-pharmaceutical interventions (NPIs).The SEIR(D) epidemic model is useful and informative, but only when it is used carefully to account for the presence of multiple waves and context-dependent infection patterns in each wave. SN - 1365-2060 UR - https://www.unboundmedicine.com/medline/citation/34269629/A_multi-stage_SEIR(D)_model_of_the_COVID-19_epidemic_in_Korea. L2 - https://www.tandfonline.com/doi/full/10.1080/07853890.2021.1949490 DB - PRIME DP - Unbound Medicine ER -