Dynamical Transmission Model of MERS-CoV in Two Areas

Yong, Benny; Owen, Livia

dc.contributor.author	Yong, Benny
dc.contributor.author	Owen, Livia
dc.date.accessioned	2017-11-30T09:09:46Z
dc.date.available	2017-11-30T09:09:46Z
dc.date.issued	2015
dc.identifier.other	maklhsc327
dc.identifier.uri	http://hdl.handle.net/123456789/4483
dc.description	Makalah dipresentasikan pada The 3rd Conference on Industrial and Applied Mathematics. The Industrial and Financial Mathematics Research Group, the Faculty of Mathematics and Natural Sciences, ITB. Bandung, Indonesia, 11-13 October 2015.	en_US
dc.description.abstract	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.	en_US
dc.language.iso	en	en_US
dc.publisher	The Industrial and Financial Mathematics Research Group, the Faculty of Mathematics and Natural Sciences, ITB	en_US
dc.subject	MERS-CoV	en_US
dc.subject	TRANSMISSION MODEL	en_US
dc.subject	BASIC REPRODUCTIVE NUMBER	en_US
dc.subject	SENSITIVITY ANALYSIS	en_US
dc.title	Dynamical Transmission Model of MERS-CoV in Two Areas	en_US
dc.type	Conference Papers	en_US