Prediction of COVID-19 transmission dynamics using a mathematical model considering behavior changes in Korea
OBJECTIVES Since the report of the first confirmed case in Daegu on February 18, 2020, local transmission of coronavirus disease 2019 (COVID-19) in Korea has continued. In this study, we aimed to identify the pattern of local transmission of COVID-19 using mathematical modeling and predict the epide...
Main Authors: | Soyoung Kim, Yu Bin Seo, Eunok Jung |
---|---|
Format: | Article |
Language: | English |
Published: |
Korean Society of Epidemiology
2020-04-01
|
Series: | Epidemiology and Health |
Subjects: | |
Online Access: | http://www.e-epih.org/upload/pdf/epih-42-e2020026.pdf |
Similar Items
-
COVID-19 Transmission: Bangladesh Perspective
by: Masud M A, et al.
Published: (2020-10-01) -
Managing bed capacity and timing of interventions: a COVID-19 model considering behavior and underreporting
by: Victoria May P. Mendoza, et al.
Published: (2023-01-01) -
Optimally capturing latency dynamics in models of tuberculosis transmission
by: Romain Ragonnet, et al.
Published: (2017-12-01) -
Thermal degradation of β -carotene from macauba palm: mathematical modeling and parameter estimation
by: Pedro Prates Valério, et al.
Published: (2021-04-01) -
Mathematical modeling in Neuroscience: Neuronal activity and its modulation by astrocytes
by: Shivendra Gajraj Tewari, et al.
Published: (2016-02-01)