Branching Approximation for the Collective Epidemic Model |
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Authors: | Lefe`vre Claude Utev Sergey |
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Institution: | (1) Institut de Statistique et de Recherche Ope´rationnelle, Universite´ Libre de Bruxelles, C.P.210, Boulevard du Triomphe, B-1050 Bruxelles, Belgique;(2) Department of Mathematics and Statistics, School of Statistical Sciences, La Trobe University, Bundoora, Victoria, 3083, Australia |
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Abstract: | A new approach is developed that allows us to establish and analyze a branching-type approximation for the collective epidemic model. Firstly, a necessary and sufficient condition is obtained for the vague convergence of the final size of the epidemic to the total progeny in an appropriate branching model, as the initial number of susceptibles tends to infinity. Then, an upper bound for the L
1 distance between the statistics under study is derived, showing inter alia that the approximation may hold even when the initial number of infectives is arbitrarily large. The results are illustrated with several particular models of special interest. |
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Keywords: | Epidemic process final size branching process total progeny vague convergence coupling L
1 distance total variation distance |
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