ArticleBiomedical engineering online2017
Estimation of basic reproduction number of the Middle East respiratory syndrome coronavirus (MERS-CoV) during the outbreak in South Korea, 2015.
Article in Biomedical engineering online, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.
- MERS transmission and risk factors: a systematic review.BMC public health · 2018Pooled it
- The race to understand immunopathology in COVID-19: Perspectives on the impact of quantitative approaches to understand within-host interactions.Immunoinformatics (Amsterdam, Netherlands) · 2023Review
- Risk Assessment for the Transmission of Middle East Respiratory Syndrome Coronavirus (MERS-Cov) on Aircraft: A Systematic Review.Epidemiology and infection · 2021Article
- Basic Reproduction Number of the 2019 Novel Coronavirus Disease in the Major Endemic Areas of China: A Latent Profile Analysis.Frontiers in public health · 2021Article
- Immunopathogenesis of Different Emerging Viral Infections: Evasion, Fatal Mechanism, and Prevention.Frontiers in immunology · 2021Review
- A non-central beta model to forecast and evaluate pandemics time series.Chaos, solitons, and fractals · 2020Article
- A predictive model for Covid-19 spread - with application to eight US states and how to end the pandemic.Epidemiology and infection · 2020Article
- The susceptible-unidentified infected-confirmed (SUC) epidemic model for estimating unidentified infected population for COVID-19.Chaos, solitons, and fractals · 2020Article
- Bifurcation analysis of a SEIR epidemic system with governmental action and individual reaction.Advances in difference equations · 2020Article
- A novel luciferase immunosorbent assay performs better than a commercial enzyme-linked immunosorbent assay to detect MERS-CoV specific IgG in humans and animals.Biosafety and health · 2019Article
- A Methodology for Determining Which Diseases Warrant Care in a High-Level Containment Care Unit.Viruses · 2019Article
- Stochastic and spatio-temporal analysis of the Middle East Respiratory Syndrome outbreak in South Korea, 2015.Infectious Disease Modelling · 2019Article
- The transmission dynamics of Middle East Respiratory Syndrome coronavirus.Travel medicine and infectious diseaseArticle
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1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn South Korea, an outbreak of Middle East respiratory syndrome (MERS) occurred in 2015. It was the second largest MERS outbreak. As a result of the outbreak in South Korea, 186 infections were reported, and 36 patients died. At least 16,693 people were isolated with suspicious symptoms. This paper estimates the basic reproduction number of the MERS coronavirus (CoV), using data on the spread of MERS in South Korea.
methodsThe basic reproduction number of an epidemic is defined as the average number of secondary cases that an infected subject produces over its infectious period in a susceptible and uninfected population. To estimate the basic reproduction number of the MERS-CoV, we employ data from the 2015 South Korea MERS outbreak and the susceptible-infected-removed (SIR) model, a mathematical model that uses a set of ordinary differential equations (ODEs).
resultsWe fit the model to the epidemic data of the South Korea outbreak minimizing the sum of the squared errors to identify model parameters. Also we derive the basic reproductive number as the terms of the parameters of the SIR model. Then we determine the basic reproduction number of the MERS-CoV in South Korea in 2015 as 8.0977. It is worth comparing with the basic reproductive number of the 2014 Ebola outbreak in West Africa including Guinea, Sierra Leone, and Liberia, which had values of 1.5-2.5.
conclusionsThere was no intervention to control the infection in the early phase of the outbreak, thus the data used here provide the best conditions to evaluate the epidemic characteristics of MERS, such as the basic reproduction number. An evaluation of basic reproduction number using epidemic data could be problematic if there are stochastic fluctuations in the early phase of the outbreak, or if the report is not accurate and there is bias in the data. Such problems are not relevant to this study because the data used here were precisely reported and verified by Korea Hospital Association.
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