Full metadata record
DC Field | Value | Language |
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dc.contributor.author | 최보율 | - |
dc.date.accessioned | 2019-12-08T08:29:28Z | - |
dc.date.available | 2019-12-08T08:29:28Z | - |
dc.date.issued | 2018-06 | - |
dc.identifier.citation | JOURNAL OF HOSPITAL INFECTION, v. 99, no. 2, page. 162-168 | en_US |
dc.identifier.issn | 0195-6701 | - |
dc.identifier.issn | 1532-2939 | - |
dc.identifier.uri | https://www.journalofhospitalinfection.com/article/S0195-6701(17)30526-1/fulltext | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/119012 | - |
dc.description.abstract | Background: Effective countermeasures against emerging infectious diseases require an understanding of transmission rate and basic reproduction number (R-0). R-0 for severe acute respiratory syndrome is generally considered to be >1, whereas that for Middle East respiratory syndrome (MERS) is considered to be <1. However, this does not explain the large-scale outbreaks of MERS that occurred in Kingdom of Saudi Arabia (KSA) and South Korean hospitals.Aim: To estimate R-0 in nosocomial outbreaks of MERS.Methods: R-0 was estimated using the incidence decay with an exponential adjustment model. The KSA and Korean outbreaks were compared using a line listing of MERS cases compiled using publicly available sources. Serial intervals to estimate R-0 were assumed to be six to eight days. Study parameters [R-0 and countermeasures (d)] were estimated by fitting a model to the cumulative incidence epidemic curves using Matlab.Findings: The estimated R-0 in Korea was 3.9 in the best-fit model, with a serial interval of six days. The first outbreak cluster in a hospital in Pyeongtaek had an R-0 of 4.04, and the largest outbreak cluster in a hospital in Samsung had an R-0 of 5.0. Assuming a six-day serial interval, the KSA outbreaks in Jeddah and Riyadh had R-0 values of 3.9 and 1.9, respectively.Conclusion: R-0 for the nosocomial MERS outbreaks in KSA and South Korea was estimated to be in the range of 2-5, which is significantly higher than the previous estimate of <1. Therefore, more comprehensive countermeasures are needed to address these infections. | en_US |
dc.description.sponsorship | This work was supported by the National Cancer Center Grant (NCC-1710141-1) and the Korea National Research Foundation Grant (NRF-2015R1A6A3A01020594). | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | W B SAUNDERS CO LTD | en_US |
dc.subject | Nosocomial infection | en_US |
dc.subject | Basic reproduction number | en_US |
dc.subject | Epidemiology | en_US |
dc.subject | Middle east respiratory | en_US |
dc.subject | syndrome coronavirus | en_US |
dc.subject | Mathematical modelling | en_US |
dc.subject | South Korea | en_US |
dc.title | High reproduction number of Middle East respiratory syndrome coronavirus in nosocomial outbreaks: mathematical modelling in Saudi Arabia and South Korea | en_US |
dc.type | Article | en_US |
dc.relation.no | 2 | - |
dc.relation.volume | 99 | - |
dc.identifier.doi | 10.1002/adfm.201800511 | - |
dc.relation.page | 1-7 | - |
dc.relation.journal | JOURNAL OF HOSPITAL INFECTION | - |
dc.contributor.googleauthor | Choi, S. | - |
dc.contributor.googleauthor | Jung, E. | - |
dc.contributor.googleauthor | Choi, B. Y. | - |
dc.contributor.googleauthor | Hur, Y. J. | - |
dc.contributor.googleauthor | Ki, M. | - |
dc.relation.code | 2018003099 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF MEDICINE[S] | - |
dc.sector.department | DEPARTMENT OF MEDICINE | - |
dc.identifier.pid | bychoi | - |
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