Epidemiology Essay

1946 Words4 Pages

Mathematical models and computer simulations are important tool to investigate spread and control of infectious diseases. These two jointly build and test theories that are involved with complex biological systems related disease, getting quantitative conjectures, determining parameter sensitivities due to change and estimating parameters from data. It is important to state that modeling is very crucial in epidemiology since in most cases we cannot do experiments. Modelling gives better idea in e-epidemiology when the system is simulated with various parameters because conducting experiments in e-epidemiology is critical.
Spread of virus or worms in computer network is very much similar with the spread of virus in biological systems. Remarkable research has been done in biological epidemic. Most of the models which are developed in computer epidemiology are taken from biological epidemic by changing few compartments or by adding various parameters. The basic models describe the number of individuals (or proportion of the population) that are susceptible, infected and recovered from a particular disease. The assumptions produce three standard sets of differential equations that give the foundations of almost all of mathematical epidemiology: the susceptible-infectious-recovered (SIR) model (Kermack, Mckendrick, 1927, 1932, 1933). Many biologically motivated modifications have been made to this basic framework also in computer epidemics. The basic model SIR (Susceptible-Infectious-Recovered) is given by Kermack and Mckendric. Based on the classical epidemic model of Kermack and Mckendric, several works have done in computer epidemiology. SIR model is extended to SEIR, SEIQR etc. Works of Mishra et. al. shows diversity in e-epidemic ...

... middle of paper ...

...at proposed a new Worm Interaction Model which is based upon and extending beyond the epidemic model focusing on random-scan worm interactions. It proposes a new set of metrics to quantify effectiveness of one worm terminating other worm and validate worm interaction model using simulations. This paper also provides the first work to characterize and investigate worm interactions of random-scan worms in multi-hop networks (Tanachaiwiwa and Helmy, 2007). For the best possible solution against cyber attack, researchers use Mathematical modeling as a tool to understand and identify the problems of cyber war (Chilachava and Kereselidze, 2009). Such kind of modeling is supposed to help in better understanding of the problem, but to allow such models to be practically workable, it is extremely important to provide a quantitative interface to the problem through the model.

More about Epidemiology Essay

Open Document