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Epidemiological models for heterogeneous populations: proportionate mixing,parameter estimation,and immunization programs
Affiliation:1. Dipartimento di Scienze Statistiche Paolo Fortunati, Universitá di Bologna, Bologna, Italy;2. Dipartimento di Fisica e Astronomia Augusto Righi, Universitá di Bologna, Bologna, Italy;1. Environment, Health and Safety, IMEC, Kapeldreef 75, Leuven 3001, Belgium;2. MMSDP, IICT, Bulgarian Academy of Sciences, Acad. G. Bonchev St., Block 25A, 1113, Sofia, Bulgaria
Abstract:Deterministic models are presented for epidemics which occur quickly and for long-term endemic diseases where births and deaths must be considered. Contact-rate matrices are formulated in terms of activity levels and subpopulation sizes by using a proportionate-mixing assumption. Methods are presented for estimating epidemic and endemic parameters in both homogeneous and heterogeneous populations. Other authors' approaches to contact-rate matrices and spatial heterogeneity are described. Three immunization programs are analyzed for a model of a spatially heterogeneous population and are compared in a “city and villages” example.
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