A Two Sex Age Structured Population Model In Discrete Time


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A Two-sex, Age-structured Population Model in Discrete-time


A Two-sex, Age-structured Population Model in Discrete-time

Author: Stephen Eric Tennenbaum

language: en

Publisher:

Release Date: 2006


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Gender-structured Population Modeling


Gender-structured Population Modeling

Author: M. Iannelli

language: en

Publisher: SIAM

Release Date: 2005-01-01


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Gender-Structured Population Modeling gives a unified presentation of and mathematical framework for modeling population growth by couple formation. It provides an overview of both past and present modeling results. The authors focus on pair formation (marriage) and two-sex models with different forms of the marriage function -- the basis of couple formation -- and discuss which of these forms might make a better choice for a particular population (the United States). The book also provides results on model analysis, gives an up-to-date review of mathematical demography, discusses numerical methods, and puts deterministic modeling of human populations into historical perspective.

Age-Structured Population Dynamics in Demography and Epidemiology


Age-Structured Population Dynamics in Demography and Epidemiology

Author: Hisashi Inaba

language: en

Publisher: Springer

Release Date: 2017-03-15


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This book is the first one in which basic demographic models are rigorously formulated by using modern age-structured population dynamics, extended to study real-world population problems. Age structure is a crucial factor in understanding population phenomena, and the essential ideas in demography and epidemiology cannot be understood without mathematical formulation; therefore, this book gives readers a robust mathematical introduction to human population studies. In the first part of the volume, classical demographic models such as the stable population model and its linear extensions, density-dependent nonlinear models, and pair-formation models are formulated by the McKendrick partial differential equation and are analyzed from a dynamical system point of view. In the second part, mathematical models for infectious diseases spreading at the population level are examined by using nonlinear differential equations and a renewal equation. Since an epidemic can be seen as a nonlinear renewal process of an infected population, this book will provide a natural unification point of view for demography and epidemiology. The well-known epidemic threshold principle is formulated by the basic reproduction number, which is also a most important key index in demography. The author develops a universal theory of the basic reproduction number in heterogeneous environments. By introducing the host age structure, epidemic models are developed into more realistic demographic formulations, which are essentially needed to attack urgent epidemiological control problems in the real world.