Serveur d'exploration MERS

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Risk factors for transmission of Middle East respiratory syndrome coronavirus infection during the 2015 outbreak in South Korea.

Identifieur interne : 000B41 ( PubMed/Checkpoint ); précédent : 000B40; suivant : 000B42

Risk factors for transmission of Middle East respiratory syndrome coronavirus infection during the 2015 outbreak in South Korea.

Auteurs : Seung Woo Kim [Corée du Sud] ; Jung Wan Park [Corée du Sud] ; Hee-Dong Jung [Corée du Sud] ; Jeong-Sun Yang [Corée du Sud] ; Yong-Shik Park [Corée du Sud] ; Changhwan Lee [Corée du Sud] ; Kyung Min Kim [Corée du Sud] ; Keon-Joo Lee [Corée du Sud] ; Donghyok Kwon [Corée du Sud] ; Young Joo Hur [Corée du Sud] ; Bo Youl Choi [Corée du Sud] ; Moran Ki [Corée du Sud]

Source :

RBID : pubmed:27940937

Abstract

Transmission heterogeneity was observed during the 2015 South Korean outbreak of Middle East respiratory syndrome coronavirus (MERS-CoV) infection. Only 22 of 186 cases transmitted the infection, and 5 super-spreading events caused 150 transmissions. We investigated the risk factors for MERS-CoV transmission.

DOI: 10.1093/cid/ciw768
PubMed: 27940937


Affiliations:


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pubmed:27940937

Le document en format XML

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<name sortKey="Ki, Moran" sort="Ki, Moran" uniqKey="Ki M" first="Moran" last="Ki">Moran Ki</name>
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<div type="abstract" xml:lang="en">Transmission heterogeneity was observed during the 2015 South Korean outbreak of Middle East respiratory syndrome coronavirus (MERS-CoV) infection. Only 22 of 186 cases transmitted the infection, and 5 super-spreading events caused 150 transmissions. We investigated the risk factors for MERS-CoV transmission.</div>
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<AbstractText Label="Background">Transmission heterogeneity was observed during the 2015 South Korean outbreak of Middle East respiratory syndrome coronavirus (MERS-CoV) infection. Only 22 of 186 cases transmitted the infection, and 5 super-spreading events caused 150 transmissions. We investigated the risk factors for MERS-CoV transmission.</AbstractText>
<AbstractText Label="Methods">Epidemiological reports were used to classify patients as non-spreaders, spreaders (1-4 transmission), or those associated with super-spreading event (≥4 transmissions). Logistic regression analyses were used to evaluate the factors that influenced MERS-CoV transmission.</AbstractText>
<AbstractText Label="Results">Compared to non-spreaders, spreaders exhibited a longer interval from symptom onset to isolation (7 days vs. 3 days) and more frequent pre-isolation pneumonia diagnoses (68.2% vs. 17.1%). Spreaders also exhibited higher values for pre-isolation contacts (149 vs. 17.5), pre-isolation hospitalization (68.2% vs. 16.5%), and emergency room visits (50% vs. 7.3%). Spreaders exhibited lower cycle thresholds for the upE and ORF1a genes (22.7 vs. 27.2 and 23.7 vs. 27.9, respectively). Transmission was independently associated with the cycle threshold (odds ratio [OR]: 0.84, 95% confidence interval [CI]: 0.75-0.96) and pre-isolation hospitalization or emergency room visits (OR: 6.82, 95% CI: 2.06-22.84). The spreaders with ≥4 transmissions exhibited higher values for pre-isolation contacts (777 vs. 78), pre-isolation emergency room visits (100% vs. 35.3%), and doctor-shopping (100% vs. 47.1%), compared to other spreaders.</AbstractText>
<AbstractText Label="Conclusions">These findings indicate that transmission is determined by host infectivity and the number of contacts, whereas super-spreading events were determined by the number of contacts and hospital visits. These relationships highlight the importance of rapidly enforcing infection control measures to prevent outbreaks.</AbstractText>
<CopyrightInformation>© The Author 2016. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail journals.permissions@oup.com.</CopyrightInformation>
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