In this paper we deal with discrete models of infectious disease spread. We come out from classical continuous Kermack-McKendrick compartmental approach which is transformed into the form of discrete simulation model. Next we generalize it by defining a concept of temporal communities which every individual is incorporated into. Temporal communities are built dynamically according to living rules from individuals in various stage of infection. Proper creation on communities is ensured by formerly developed algorithms including nested simulation.
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Minist Hlth, San Jose, Costa RicaUniv Oxford, Dept Zool, Oxford OX1 3PS, England
Morice, A.
Grenfell, B. T.
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Princeton Univ, Dept Ecol & Evolutionary Biol, Princeton, NJ 08544 USA
NIH, Fogarty Int Ctr, Bethesda, MD 20892 USAUniv Oxford, Dept Zool, Oxford OX1 3PS, England
Grenfell, B. T.
Bjornstad, O. N.
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NIH, Fogarty Int Ctr, Bethesda, MD 20892 USA
Penn State Univ, Ctr Infect Dis Dynam, State Coll, PA USAUniv Oxford, Dept Zool, Oxford OX1 3PS, England
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School of Computer Science and Engineering, University of NewSouthWales, Sydney, NSW
University of NewSouthWales, Sydney, NSWEmory University, Atlanta, GA
Salim F.
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Anderson T.
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Scotch M.
Xiong L.
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Emory University, Atlanta, GA
Emory University, Atlanta, GAEmory University, Atlanta, GA
Xiong L.
Sokol K.
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ETH Zurich, Zurich, ZurichEmory University, Atlanta, GA
Sokol K.
Xue H.
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University of NewSouthWales, Sydney, NSWEmory University, Atlanta, GA
Xue H.
Kong R.
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机构:Emory University, Atlanta, GA
Kong R.
Heslop D.
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University of NewSouthWales, Sydney, NSWEmory University, Atlanta, GA
Heslop D.
Paik H.-Y.
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University of NewSouthWales, Sydney, NSWEmory University, Atlanta, GA
Paik H.-Y.
Macintyre C.R.
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University of NewSouthWales, Sydney, NSWEmory University, Atlanta, GA