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

Identifieur interne : 000982 ( Pmc/Checkpoint ); précédent : 000981; suivant : 000983

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

Auteurs : Darae Jeong [Corée du Sud] ; Chang Hyeong Lee [Corée du Sud] ; Yongho Choi [Corée du Sud] ; Junseok Kim [Corée du Sud]

Source :

RBID : PMC:7126530

Abstract

In this paper, we propose the daily computed weighted averaging basic reproduction number R0,k,ωn 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 β (contact rate) and γ (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 R0,k,ωn, 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.


Url:
DOI: 10.1016/j.physa.2016.01.072
PubMed: 32288098
PubMed Central: 7126530


Affiliations:


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PMC:7126530

Le document en format XML

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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
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(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
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, the parameters
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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.</p>
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for MERS-CoV in South Korea</article-title>
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<surname>Choi</surname>
<given-names>Yongho</given-names>
</name>
<xref rid="af000005" ref-type="aff">a</xref>
</contrib>
<contrib contrib-type="author" id="au000020">
<name>
<surname>Kim</surname>
<given-names>Junseok</given-names>
</name>
<email>cfdkim@korea.ac.kr</email>
<email>http://math.korea.ac.kr/~cfdkim/</email>
<xref rid="af000005" ref-type="aff">a</xref>
<xref rid="cor000005" ref-type="corresp"></xref>
</contrib>
</contrib-group>
<aff id="af000005">
<label>a</label>
Department of Mathematics, Korea University, Seoul 136-713, Republic of Korea</aff>
<aff id="af000010">
<label>b</label>
Department of Mathematical Sciences, Ulsan National Institute of Science and Technology (UNIST), Ulsan 689-798, Republic of Korea</aff>
<author-notes>
<corresp id="cor000005">
<label></label>
Corresponding author.
<email>cfdkim@korea.ac.kr</email>
<email>http://math.korea.ac.kr/~cfdkim/</email>
</corresp>
</author-notes>
<pub-date pub-type="pmc-release">
<day>2</day>
<month>2</month>
<year>2016</year>
</pub-date>
<pmc-comment> PMC Release delay is 0 months and 0 days and was based on .</pmc-comment>
<pub-date pub-type="ppub">
<day>1</day>
<month>6</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="epub">
<day>2</day>
<month>2</month>
<year>2016</year>
</pub-date>
<volume>451</volume>
<fpage>190</fpage>
<lpage>197</lpage>
<history>
<date date-type="received">
<day>8</day>
<month>12</month>
<year>2015</year>
</date>
<date date-type="rev-recd">
<day>8</day>
<month>1</month>
<year>2016</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright © 2016 Elsevier B.V. All rights reserved.</copyright-statement>
<copyright-year>2016</copyright-year>
<copyright-holder>Elsevier B.V.</copyright-holder>
<license>
<license-p>Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.</license-p>
</license>
</permissions>
<abstract id="a000005">
<p>In this paper, we propose the daily computed weighted averaging basic reproduction number
<inline-formula>
<mml:math id="M2" altimg="si7.gif" display="inline" overflow="scroll">
<mml:msubsup>
<mml:mrow>
<mml:mi>R</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mn>0</mml:mn>
<mml:mo>,</mml:mo>
<mml:mi>k</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>ω</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mi>n</mml:mi>
</mml:mrow>
</mml:msubsup>
</mml:math>
</inline-formula>
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
<inline-formula>
<mml:math id="M3" altimg="si31.gif" display="inline" overflow="scroll">
<mml:mi>β</mml:mi>
</mml:math>
</inline-formula>
(contact rate) and
<inline-formula>
<mml:math id="M4" altimg="si32.gif" display="inline" overflow="scroll">
<mml:mi>γ</mml:mi>
</mml:math>
</inline-formula>
(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
<inline-formula>
<mml:math id="M5" altimg="si7.gif" display="inline" overflow="scroll">
<mml:msubsup>
<mml:mrow>
<mml:mi>R</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mn>0</mml:mn>
<mml:mo>,</mml:mo>
<mml:mi>k</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>ω</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mi>n</mml:mi>
</mml:mrow>
</mml:msubsup>
</mml:math>
</inline-formula>
, the parameters
<inline-formula>
<mml:math id="M6" altimg="si23.gif" display="inline" overflow="scroll">
<mml:mi>n</mml:mi>
</mml:math>
</inline-formula>
,
<inline-formula>
<mml:math id="M7" altimg="si35.gif" display="inline" overflow="scroll">
<mml:mi>k</mml:mi>
</mml:math>
</inline-formula>
, and
<inline-formula>
<mml:math id="M8" altimg="si36.gif" display="inline" overflow="scroll">
<mml:mi>w</mml:mi>
</mml:math>
</inline-formula>
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.</p>
</abstract>
<abstract abstract-type="author-highlights" id="a000010">
<title>Highlights</title>
<p>
<list list-type="simple" id="l000005">
<list-item id="li000005">
<label></label>
<p id="p000005">We propose the daily basic reproduction number for MERS-CoV in South Korea.</p>
</list-item>
<list-item id="li000010">
<label></label>
<p id="p000010">We use an SIR model with piecewise constant contact and removed rates.</p>
</list-item>
<list-item id="li000015">
<label></label>
<p id="p000015">We apply the explicit Euler’s method for the solution of the SIR model.</p>
</list-item>
<list-item id="li000020">
<label></label>
<p id="p000020">We use nonlinear least-square fitting procedure for finding the best parameters.</p>
</list-item>
</list>
</p>
</abstract>
<kwd-group id="ks000005">
<title>Keywords</title>
<kwd>MERS-CoV</kwd>
<kwd>SIR model</kwd>
<kwd>Explicit Euler’s method</kwd>
<kwd>Optimal parameter fitting</kwd>
</kwd-group>
</article-meta>
</front>
</pmc>
<affiliations>
<list>
<country>
<li>Corée du Sud</li>
</country>
<region>
<li>Région capitale de Séoul</li>
</region>
<settlement>
<li>Séoul</li>
</settlement>
</list>
<tree>
<country name="Corée du Sud">
<region name="Région capitale de Séoul">
<name sortKey="Jeong, Darae" sort="Jeong, Darae" uniqKey="Jeong D" first="Darae" last="Jeong">Darae Jeong</name>
</region>
<name sortKey="Choi, Yongho" sort="Choi, Yongho" uniqKey="Choi Y" first="Yongho" last="Choi">Yongho Choi</name>
<name sortKey="Kim, Junseok" sort="Kim, Junseok" uniqKey="Kim J" first="Junseok" last="Kim">Junseok Kim</name>
<name sortKey="Lee, Chang Hyeong" sort="Lee, Chang Hyeong" uniqKey="Lee C" first="Chang Hyeong" last="Lee">Chang Hyeong Lee</name>
</country>
</tree>
</affiliations>
</record>

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