id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
american_scientific_journal-3424	Hossain, Md. Tareque; Miah, Md. Musa; Hossain, Md. Babul	Numerical Study of Kermack-Mckendrik SIR Model to Predict the Outbreak of Ebola Virus Diseases Using Euler and Fourth Order Runge-Kutta Methods	2017	21	.pdf	application/pdf	5121	230	70	American Scientific Research Journal for Engineering, Technology, and Sciences (ASRJETS) (2017) Volume 37, No 1, pp 1-21 11 𝑘𝑘2𝑑𝑑 = 𝛽𝛽 �𝑆𝑆𝑛𝑛 + 𝑘𝑘1𝑑𝑑∆𝑡𝑡 2 � �𝐼𝐼𝑛𝑛 + 𝑘𝑘1𝑑𝑑∆𝑡𝑡 2 � − �𝐼𝐼𝑛𝑛 + 𝑘𝑘1𝑑𝑑∆𝑡𝑡 2 � 𝑘𝑘2𝑑𝑑 = 𝛾𝛾 �𝐼𝐼𝑛𝑛 + 𝑘𝑘1𝑑𝑑∆𝑡𝑡 2 � 𝑘𝑘3𝑑𝑑 = −𝛽𝛽 �𝑆𝑆𝑛𝑛 + 𝑘𝑘2𝑑𝑑∆𝑡𝑡 2 � (𝐼𝐼𝑛𝑛 + 𝑘𝑘2𝑑𝑑∆𝑡𝑡 2 ) 2. Methodology 2.1 Formulation of SIR model The SIR model is used to illustrate the transfer of the epidemic through the interaction of the following three different variables: 𝑆𝑆 = Number of people that are susceptible to Ebola 𝐼𝐼 = Number of people infected with Ebola 𝑅𝑅 = Number of people recovered American Scientific Research Journal for Engineering, Technology, and Sciences (ASRJETS) (2017) Volume 37, No 1, pp 1-21 3 from Ebola with total immunity It makes sense to assume that a fixed population of 𝑁𝑁 people, whereby there are no births and deaths by natural cause i.e. 𝑁𝑁 = 𝑆𝑆 + 𝐼𝐼 + 𝑅𝑅 [5] This is because the population is fixed and therefore, there are only three compartments in which the population may fit into.	cache/american_scientific_journal-3424.pdf	txt/american_scientific_journal-3424.txt
