biologia - Studia
biologia - Studia
biologia - Studia
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STUDIA UNIVERSITATIS BABEŞ – BOLYAI, BIOLOGIA, LV, 1, 2010, p. 61-65<br />
A MATHEMATICAL MODEL FOR AN EPIDEMIC<br />
IN AN OPEN SOCIETY<br />
MOHAMMAD REZA MOLAEI 1<br />
SUMMARY. In this paper a mathematical model for an infectious disease<br />
in an open society is introduced. The parameters of this model are time<br />
dependent, and it is an extension of the susceptible, infectious and removed<br />
(SIR) models. This model has this ability to determine the speed of<br />
recovery rate to protect the society from an epidemic.<br />
Keywords: mortality rate, recovery rate, per capita birth, SIR model<br />
Introduction<br />
Theory of infectious disease epidemics is based on mathematical models<br />
for the epidemics. Beside its applications in epidemiology it brings many bright<br />
mathematical results in dynamical systems (Bauch and Earn, 2003, Earn, et al.,<br />
2000, Korobeinikov and Maini, 2004). In the susceptible, infectious and removed<br />
(SIR) model and its extensions, the society is closed and its parameters such as per<br />
capita birth and mortality rate are constant numbers. In this paper we consider an<br />
open society. It means a society in which individuals enter it and leave it. Moreover<br />
its parameters are time dependent. For example the influenza infection in which<br />
passengers have essential role in its infection and this model can apply for it. In the<br />
next section we introduce this model and then we show that it is an extension of the<br />
previous models (Farkas, 2001). Moreover we find a recovery rate as a function of<br />
a time as a limitation for the speed of recovery to protect the society from an<br />
epidemic of a disease.<br />
The model<br />
We denote the number of individuals at time t by x(t). S(t) is the number of<br />
individuals who have no immunity to the infectious agent. We denote the number<br />
of individuals who are infected at time t and can transmit the infection to the<br />
susceptible individuals by I(t). R(t) is the number of individuals who are immune to<br />
1 Department of Mathematics, University of Kerman (Shahid Bahonar), 76169-14111, Kerman, Iran.<br />
E-mail: mrmolaei@mail.uk.ac.ir