Literature DB >> 1798335

Non-linear transmission rates and the dynamics of infectious disease.

M E Hochberg1.   

Abstract

This study considers how non-linearities in the transmission of microparasitic infections affect the population dynamics of host-parasite systems in which the disease is potentially lethal to the host. Non-linearities can either lead to a locally stable or unstable host-parasite equilibrium point, depending on the respective contributions of healthy and infected hosts to the functional form of the transmission rate. Analysis of the non-linear transmission model results in a revealing pair of local stability criteria. Specifically, stability requires sufficient total levels of intrinsic growth of the host population and total levels of density-dependent transmission. The most stable systems occur when increases in the density of healthy hosts result in increases in transmission efficiency, and increases in the number of infected hosts result in small decreases in transmission efficiency. These appear to be very reasonable relationships for directly transmitted microparasites.

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Year:  1991        PMID: 1798335     DOI: 10.1016/s0022-5193(05)80572-7

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  20 in total

1.  Modelling pathogen transmission: the interrelationship between local and global approaches.

Authors:  Joanne Turner; Michael Begon; Roger G Bowers
Journal:  Proc Biol Sci       Date:  2003-01-07       Impact factor: 5.349

Review 2.  A rigorous approach to investigating common assumptions about disease transmission: Process algebra as an emerging modelling methodology for epidemiology.

Authors:  Chris McCaig; Mike Begon; Rachel Norman; Carron Shankland
Journal:  Theory Biosci       Date:  2010-08-31       Impact factor: 1.919

3.  Influence of the transmission function on a simulated pathogen spread within a population.

Authors:  T Hoch; C Fourichon; A-F Viet; H Seegers
Journal:  Epidemiol Infect       Date:  2007-12-06       Impact factor: 2.451

4.  When individual behaviour matters: homogeneous and network models in epidemiology.

Authors:  Shweta Bansal; Bryan T Grenfell; Lauren Ancel Meyers
Journal:  J R Soc Interface       Date:  2007-10-22       Impact factor: 4.118

5.  Host-pathogen time series data in wildlife support a transmission function between density and frequency dependence.

Authors:  Matthew J Smith; Sandra Telfer; Eva R Kallio; Sarah Burthe; Alex R Cook; Xavier Lambin; Michael Begon
Journal:  Proc Natl Acad Sci U S A       Date:  2009-04-23       Impact factor: 11.205

6.  Responses of Mamestra brassicae (Lepidoptera: Noctuidae) to crowding: interactions with disease resistance, colour phase and growth.

Authors:  David Goulson; Jenny S Cory
Journal:  Oecologia       Date:  1995-12       Impact factor: 3.225

7.  Genotypic variation in parasite avoidance behaviour and other mechanistic, nonlinear components of transmission.

Authors:  Alexander T Strauss; Jessica L Hite; David J Civitello; Marta S Shocket; Carla E Cáceres; Spencer R Hall
Journal:  Proc Biol Sci       Date:  2019-11-20       Impact factor: 5.349

Review 8.  Mathematical models to characterize early epidemic growth: A review.

Authors:  Gerardo Chowell; Lisa Sattenspiel; Shweta Bansal; Cécile Viboud
Journal:  Phys Life Rev       Date:  2016-07-11       Impact factor: 11.025

9.  Density-dependent resistance of the gypsy moth Lymantria dispar to its nucleopolyhedrovirus, and the consequences for population dynamics.

Authors:  James R Reilly; Ann E Hajek
Journal:  Oecologia       Date:  2007-10-30       Impact factor: 3.225

10.  On the spread of epidemics in a closed heterogeneous population.

Authors:  Artem S Novozhilov
Journal:  Math Biosci       Date:  2008-08-03       Impact factor: 2.144

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