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Genomic epidemiology reveals the reduction of the introduction and spread of SARS-CoV-2 after implementing control strategies in Republic of Korea, 2020
- Source :
- Virus Evolution
- Publication Year :
- 2021
- Publisher :
- Oxford University Press, 2021.
-
Abstract
- Genomic epidemiology is a core component in investigating the spread of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In this study, the efficacy of control strategies in South Korea was evaluated using genomic epidemiology based on viral genome sequences of 2,065 SARS-CoV-2 cases identified in South Korea from January 2020 to December 2020. Phylogenetic analysis revealed that the majority of viruses introduced from inbound travelers did not further spread throughout South Korea; however, four distinct subgroups (KR.1–4, belonging to B.1.497, B.1, K.1 and B.41) of viruses caused local epidemics. After the introduction of enhanced social distancing, the viral population size and daily case numbers decreased, and KR.2–4 subgroups were extinguished from South Korea. Nevertheless, there was a subsequent increase in KR.1 subgroups after the downgrading of social distancing level. These results indicate that the international traveler quarantine system implemented in South Korea along with social distancing measures efficiently reduced the introduction and spread of SARS-CoV-2, but it was not completely controlled. An improvement of control strategies will be required to better control SARS-CoV-2, its variants, and future pandemic viruses.
- Subjects :
- traveler quarantine
medicine.medical_specialty
Coronavirus disease 2019 (COVID-19)
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
viruses
genomic epidemiology
phylogeography
Microbiology
law.invention
law
Virology
Quarantine
Pandemic
Epidemiology
medicine
AcademicSubjects/MED00860
SARS-CoV-2
Core component
Social distance
Population size
AcademicSubjects/SCI01130
AcademicSubjects/SCI02285
social distancing
Geography
Corrigendum
Rapid Communication
Demography
Subjects
Details
- Language :
- English
- ISSN :
- 20571577
- Volume :
- 7
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- Virus Evolution
- Accession number :
- edsair.doi.dedup.....585020943c8e2976398a8bbef7954d64