The daily computed weighted averaging basic reproduction number R0,k,ωn for MERS-CoV in South Korea

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초록

In this paper, we propose the daily computed weighted averaging basic reproduction number R-0,k,omega(n) for Middle East respiratory syndrome coronavirus (MERS-CoV) outbreak in South Korea, May to July 2015. We use an SIR model with piecewise constant parameters beta (contact rate) and gamma (removed rate). We use the explicit Euler's method for the solution of the SIR model and a nonlinear least-square fitting procedure for finding the best parameters. In R-0,k,omega(n), the parameters n, k, and w denote days from a reference date, the number of days in averaging, and a weighting factor, respectively. We perform a series of numerical experiments and compare the results with the real-world data. In particular, using the predicted reproduction number based on the previous two consecutive reproduction numbers, we can predict the future behavior of the reproduction number. (C) 2016 Elsevier B.V. All rights reserved.

키워드

MERS-CoVSIR modelExplicit Euler's methodOptimal parameter fittingSIR MODEL
제목
The daily computed weighted averaging basic reproduction number R0,k,ωn for MERS-CoV in South Korea
저자
Jeong, DaraeLee, Chang HyeongChoi, YonghoKim, Junseok
DOI
10.1016/j.physa.2016.01.072
발행일
2016-06-01
유형
Article
저널명
Physica A: Statistical Mechanics and its Applications
451
페이지
190 ~ 197