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Dynamical transmission model of MERS-CoV in two areas

Middle East Respiratory Syndrome Coronavirus (MERS-CoV) is a disease first reported in Saudi Arabia in 2012 and it can be transmitted from human to human. This disease has spread to several other countries, most confirmed cases have displayed symptoms of severe acute respiratory illness and many of...

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Detalles Bibliográficos
Autores principales: Yong, Benny, Owen, Livia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AIP Publishing LLC 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7108780/
https://www.ncbi.nlm.nih.gov/pubmed/32255875
http://dx.doi.org/10.1063/1.4942993
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author Yong, Benny
Owen, Livia
author_facet Yong, Benny
Owen, Livia
author_sort Yong, Benny
collection PubMed
description Middle East Respiratory Syndrome Coronavirus (MERS-CoV) is a disease first reported in Saudi Arabia in 2012 and it can be transmitted from human to human. This disease has spread to several other countries, most confirmed cases have displayed symptoms of severe acute respiratory illness and many of these patients have died. This research is aimed to construct a mathematical model for the transmission of MERS-CoV in two areas by separating the human population into two groups; susceptible and infectious groups. The dynamics of the disease is studied by a compartmental model involving ordinary differrential equations. The basic reproductive number of this disease is discussed to control the outbreak of this disease. Sensitivity analysis of this model is performed to determine the relative importance of the model parameters to the MERS-CoV transmission.
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spelling pubmed-71087802020-04-01 Dynamical transmission model of MERS-CoV in two areas Yong, Benny Owen, Livia AIP Conf Proc Articles Middle East Respiratory Syndrome Coronavirus (MERS-CoV) is a disease first reported in Saudi Arabia in 2012 and it can be transmitted from human to human. This disease has spread to several other countries, most confirmed cases have displayed symptoms of severe acute respiratory illness and many of these patients have died. This research is aimed to construct a mathematical model for the transmission of MERS-CoV in two areas by separating the human population into two groups; susceptible and infectious groups. The dynamics of the disease is studied by a compartmental model involving ordinary differrential equations. The basic reproductive number of this disease is discussed to control the outbreak of this disease. Sensitivity analysis of this model is performed to determine the relative importance of the model parameters to the MERS-CoV transmission. AIP Publishing LLC 2016-02-29 /pmc/articles/PMC7108780/ /pubmed/32255875 http://dx.doi.org/10.1063/1.4942993 Text en 0094-243X/2016/1716/020010/7/$30.00 All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).
spellingShingle Articles
Yong, Benny
Owen, Livia
Dynamical transmission model of MERS-CoV in two areas
title Dynamical transmission model of MERS-CoV in two areas
title_full Dynamical transmission model of MERS-CoV in two areas
title_fullStr Dynamical transmission model of MERS-CoV in two areas
title_full_unstemmed Dynamical transmission model of MERS-CoV in two areas
title_short Dynamical transmission model of MERS-CoV in two areas
title_sort dynamical transmission model of mers-cov in two areas
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7108780/
https://www.ncbi.nlm.nih.gov/pubmed/32255875
http://dx.doi.org/10.1063/1.4942993
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