Literature DB >> 7205075

The effect of integral conditions in certain equations modelling epidemics and population growth.

S Busenberg, K L Cooke.   

Abstract

Models of epidemics that lead to delay differential equations often have subsidiary integral conditions that are imposed by the interpretation of these models. The neglect of these conditions may lead to solutions that behave in a radically different manner from solutions restricted to obey them. Examples are given of such behavior, including cases where periodic solutions may occur off the natural set defined by these conditions but not on it. A complete stability analysis is also given of a new model of a disease propagated by a vector where these integral conditions play an important role.

Mesh:

Year:  1980        PMID: 7205075     DOI: 10.1007/bf00276393

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  9 in total

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2.  Persistence of bacteria and phages in a chemostat.

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3.  Delay differential systems for tick population dynamics.

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4.  An SIS epidemic model with variable population size and a delay.

Authors:  H W Hethcote; P van den Driessche
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5.  Prelude to Hopf bifurcation in an epidemic model: analysis of a characteristic equation associated with a nonlinear Volterra integral equation.

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Journal:  J Math Biol       Date:  1982       Impact factor: 2.259

6.  Stability analysis for models of diseases without immunity.

Authors:  H W Hethcote; H W Stech; P van den Driessche
Journal:  J Math Biol       Date:  1981       Impact factor: 2.259

7.  Hopf Bifurcation of an Epidemic Model with Delay.

Authors:  Li-Peng Song; Xiao-Qiang Ding; Li-Ping Feng; Qiong Shi
Journal:  PLoS One       Date:  2016-06-15       Impact factor: 3.240

8.  Testing, tracing and isolation in compartmental models.

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Journal:  PLoS Comput Biol       Date:  2021-03-04       Impact factor: 4.475

9.  Mathematical epidemiology is not an oxymoron.

Authors:  Fred Brauer
Journal:  BMC Public Health       Date:  2009-11-18       Impact factor: 3.295

  9 in total

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