Effectiveness of Intervention Strategies on Mers-CoV Transmission Dynamics in South Korea, 2015

Simulations on the Network Based on the Real-World Contact Data

Datos Bibliográficos

ID15468429
AutoresYunhwan Kim (0000-0003-1138-6802, Kookmin University), Hohyung Ryu (0000-0003-4735-4861, Kyung Hee University), Sunmi Lee (0000-0003-1126-0660, Kyung Hee University, autor de correspondencia)
Año2021
Volumen18
Número7
Páginas3530-3530
Fecha de publicación2021-03-29
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaInternational Journal of Environmental Research and Public Health (JOURNAL)
Identificadores de la revistaISSN: 1661-7827 • E-ISSN: 1660-4601
EditorialMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph18073530
PMID33805362
OpenAlexW3148498161
IdiomaEN
Citas recibidas3
Referencias citadas22

The MERS-CoV spread in South Korea in 2015 was not only the largest outbreak of MERS-CoV in the region other than the Middle East but also a historic epidemic in South Korea. Thus, investigation of the MERS-CoV transmission dynamics, especially by agent-based modeling, would be meaningful for devising intervention strategies for novel infectious diseases. In this study, an agent-based model on MERS-CoV transmission in South Korea in 2015 was built and analyzed. The prominent characteristic of this model was that it built the simulation environment based on the real-world contact tracing network, which can be characterized as being scale-free. In the simulations, we explored the effectiveness of three possible intervention scenarios; mass quarantine, isolation, and isolation combined with acquaintance quarantine. The differences in MERS-CoV transmission dynamics by the number of links of the index case agent were examined. The simulation results indicate that isolation combined with acquaintance quarantine is more effective than others, and they also suggest the key role of super-spreaders in MERS-CoV transmission

Bioinformatics · Biology · Computer security · Contact tracing · Coronavirus disease 2019 (COVID-19 · Disease · Geography · Infectious disease (medical specialty · Intervention (counseling · Isolation (microbiology · Outbreak · Quarantine · Simulation · Telecommunications · Transmission (telecommunications · Complex Network Analysis Techniques · Computer Science · COVID-19 epidemiological studies · Data-Driven Disease Surveillance · Medicine · Ecology · Virology