Cargando…
A multi-stage SEIR(D) model of the COVID-19 epidemic in Korea
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...
Autor principal: | Shin, Hee-Young |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8288138/ https://www.ncbi.nlm.nih.gov/pubmed/34269629 http://dx.doi.org/10.1080/07853890.2021.1949490 |
Ejemplares similares
-
Protocol and clinical characteristics of patients under ‘at-home care’ for COVID-19 in South Korea: a retrospective cohort study
por: Park, Jin Ju, et al.
Publicado: (2022) -
Estimating the Size of a COVID-19 Epidemic from Surveillance Systems
por: Yue, Mu, et al.
Publicado: (2020) -
Coronavirus Goes Viral: Quantifying the COVID-19 Misinformation Epidemic on Twitter
por: Kouzy, Ramez, et al.
Publicado: (2020) -
Pakistan's COVID-19 Prevention and Control Response Using the World Health Organization's Guidelines for Epidemic Response Interventions
por: Emmanuel, Faran, et al.
Publicado: (2023) -
The effect of BMI on COVID-19 outcomes among older patients in South Korea: a nationwide retrospective cohort study*
por: Cho, Yongtak, et al.
Publicado: (2021)