About: An empirical analysis of the Ebola outbreak in West Africa

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	An empirical analysis of the Ebola outbreak in West Africa
Creator	Khaleque, Abdul Sen, Parongama
source	ArXiv
abstract	The data for the Ebola outbreak that occurred in 2014-2016 in three countries of West Africa are analysed within a common framework. The analysis is made using the results of an agent based Susceptible-Infected-Removed (SIR) model on a Euclidean network, where nodes at a distance $l$ are connected with probability $P(l) /propto l^{-/delta }$, $/delta$ determining the range of the interaction, in addition to nearest neighbors. The cumulative (total) density of infected population here has the form $R(t) = /frac{a/exp(t/T)}{1+c/exp(t/T)}$, where the parameters depend on $/delta$ and the infection probability $q$. This form is seen to fit well with the data. Using the best fitting parameters, the time at which the peak is reached is estimated and is shown to be consistent with the data. We also show that in the Euclidean model, one can choose $/delta$ and $q$ values which reproduce the data for the three countries qualitatively. These choices are correlated with population density, control schemes and other factors. Comparing the real data and the results from the model one can also estimate the size of the actual population susceptible to the disease. Rescaling the real data a reasonably good quantitative agreement with the simulation results is obtained.
has issue date	2016-09-27(xsd:dateTime)
has license	arxiv
sha1sum (hex)	bb733d7fb43533da603e23abfd577152516cdb4f
resource representing a document's title	An empirical analysis of the Ebola outbreak in West Africa
resource representing a document's body	covid:bb733d7fb43533da603e23abfd577152516cdb4f#body_text
is schema:about of	named entity 'range' named entity 'Euclidean' named entity 'model' named entity 'ANALYSIS' named entity 'EBOLA' »more»

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