Literature DB >> 1522393

Disease transmission models with density-dependent demographics.

L Q Gao1, H W Hethcote.   

Abstract

The models considered for the spread of an infectious disease in a population are of SIRS or SIS type with a standard incidence expression. The varying population size is described by a modification of the logistic differential equation which includes a term for disease-related deaths. The models have density-dependent restricted growth due to a decreasing birth rate and an increasing death rate as the population size increases towards its carrying capacity. Thresholds, equilibria and stability are determined for the systems of ordinary differential equations for each model. The persistence of the infectious disease and disease-related deaths can lead to a new equilibrium population size below the carrying capacity and can even cause the population to become extinct.

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Year:  1992        PMID: 1522393     DOI: 10.1007/bf00173265

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


  13 in total

1.  Dynamic models of infectious diseases as regulators of population sizes.

Authors:  J Mena-Lorca; H W Hethcote
Journal:  J Math Biol       Date:  1992       Impact factor: 2.259

2.  Some epidemiological models with nonlinear incidence.

Authors:  H W Hethcote; P van den Driessche
Journal:  J Math Biol       Date:  1991       Impact factor: 2.259

3.  Population models for diseases with no recovery.

Authors:  A Pugliese
Journal:  J Math Biol       Date:  1990       Impact factor: 2.259

4.  Demography and epidemics.

Authors:  S N Busenberg; K P Hadeler
Journal:  Math Biosci       Date:  1990-09       Impact factor: 2.144

5.  Analysis of a disease transmission model in a population with varying size.

Authors:  S Busenberg; P van den Driessche
Journal:  J Math Biol       Date:  1990       Impact factor: 2.259

6.  On the role of long incubation periods in the dynamics of acquired immunodeficiency syndrome (AIDS). Part 1: Single population models.

Authors:  C Castillo-Chavez; K Cooke; W Huang; S A Levin
Journal:  J Math Biol       Date:  1989       Impact factor: 2.259

7.  A competitive exclusion principle for pathogen virulence.

Authors:  H J Bremermann; H R Thieme
Journal:  J Math Biol       Date:  1989       Impact factor: 2.259

8.  Population biology of infectious diseases: Part I.

Authors:  R M Anderson; R M May
Journal:  Nature       Date:  1979-08-02       Impact factor: 49.962

9.  Population dynamics of fox rabies in Europe.

Authors:  R M Anderson; H C Jackson; R M May; A M Smith
Journal:  Nature       Date:  1981-02-26       Impact factor: 49.962

10.  Population biology of infectious diseases: Part II.

Authors:  R M May; R M Anderson
Journal:  Nature       Date:  1979-08-09       Impact factor: 49.962

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  14 in total

1.  Invasion, persistence and control in epidemic models for plant pathogens: the effect of host demography.

Authors:  Nik J Cunniffe; Christopher A Gilligan
Journal:  J R Soc Interface       Date:  2009-07-22       Impact factor: 4.118

2.  Double impact of sterilizing pathogens: added value of increased life expectancy on pest control effectiveness.

Authors:  Luděk Berec; Daniel Maxin
Journal:  J Math Biol       Date:  2011-06-28       Impact factor: 2.259

3.  An incubating diseased-predator ecoepidemic model.

Authors:  Chiara Tannoia; Emiliano Torre; Ezio Venturino
Journal:  J Biol Phys       Date:  2012-09-28       Impact factor: 1.365

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

Authors:  H W Hethcote; P van den Driessche
Journal:  J Math Biol       Date:  1995       Impact factor: 2.259

5.  Population size dependent incidence in models for diseases without immunity.

Authors:  J Zhou; H W Hethcote
Journal:  J Math Biol       Date:  1994       Impact factor: 2.259

6.  Species coexistence and periodicity in host-host-pathogen models.

Authors:  Herbert W Hethcote; Wendi Wang; Yi Li
Journal:  J Math Biol       Date:  2005-06-06       Impact factor: 2.164

Review 7.  Synthesising 30 years of mathematical modelling of Echinococcus transmission.

Authors:  Jo-An M Atkinson; Gail M Williams; Laith Yakob; Archie C A Clements; Tamsin S Barnes; Donald P McManus; Yu Rong Yang; Darren J Gray
Journal:  PLoS Negl Trop Dis       Date:  2013-08-29

8.  Anthropogenically driven environmental changes shift the ecological dynamics of hemorrhagic fever with renal syndrome.

Authors:  Huaiyu Tian; Pengbo Yu; Ottar N Bjørnstad; Bernard Cazelles; Jing Yang; Hua Tan; Shanqian Huang; Yujun Cui; Lu Dong; Chaofeng Ma; Changan Ma; Sen Zhou; Marko Laine; Xiaoxu Wu; Yanyun Zhang; Jingjun Wang; Ruifu Yang; Nils Chr Stenseth; Bing Xu
Journal:  PLoS Pathog       Date:  2017-01-31       Impact factor: 6.823

9.  On a Coupled Time-Dependent SIR Models Fitting with New York and New-Jersey States COVID-19 Data.

Authors:  Benjamin Ambrosio; M A Aziz-Alaoui
Journal:  Biology (Basel)       Date:  2020-06-24

10.  Mathematical epidemiology is not an oxymoron.

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

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