The effectiveness of intervention measures on MERS-CoV transmission by using the contact networks reconstructed from link prediction data

Mitigating the spread of infectious diseases is of paramount concern for societal safety, necessitating the development of effective intervention measures. Epidemic simulation is widely used to evaluate the efficacy of such measures, but realistic simulation environments are crucial for meaningful i...

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Bibliographic Details
Published in:	Frontiers in public health Vol. 12; p. 1386495
Main Authors:	Kim, Eunmi, Kim, Yunhwan, Jin, Hyeonseong, Lee, Yeonju, Lee, Hyosun, Lee, Sunmi
Format:	Journal Article
Language:	English
Published:	Switzerland Frontiers Media S.A 2024
Subjects:	Computer Simulation Contact Tracing - methods Coronavirus Infections - epidemiology Coronavirus Infections - prevention & control Coronavirus Infections - transmission Disease Outbreaks - prevention & control graph autoencoder (GAE) Humans interventions link prediction MERS-CoV Middle East Respiratory Syndrome Coronavirus network-based models Quarantine Republic of Korea - epidemiology Republic of Korea MERS-CoV interventions network-based models link prediction graph autoencoder (GAE)
ISSN:	2296-2565, 2296-2565
Online Access:	Get full text
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