Literature DB >> 12211582

A clarification of transmission terms in host-microparasite models: numbers, densities and areas.

M Begon1, M Bennett, R G Bowers, N P French, S M Hazel, J Turner.   

Abstract

Transmission is the driving force in the dynamics of any infectious disease. A crucial element in understanding disease dynamics, therefore, is the 'transmission term' describing the rate at which susceptible hosts are 'converted' into infected hosts by their contact with infectious material. Recently, the conventional form of this term has been increasingly questioned, and new terminologies and conventions have been proposed. Here, therefore, we review the derivation of transmission terms, explain the basis of confusion, and provide clarification. The root of the problem has been a failure to include explicit consideration of the area occupied by a host population, alongside both the number of infectious hosts and their density within the population. We argue that the terms 'density-dependent transmission' and 'frequency-dependent transmission' remain valid and useful (though a 'fuller' transmission term for the former is identified), but that the terms 'mass action', 'true mass action' and 'pseudo mass action' are all unhelpful and should be dropped. Also, contrary to what has often been assumed, the distinction between homogeneous and heterogeneous mixing in a host population is orthogonal to the distinction between density- and frequency-dependent transmission modes.

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Year:  2002        PMID: 12211582      PMCID: PMC2869860          DOI: 10.1017/s0950268802007148

Source DB:  PubMed          Journal:  Epidemiol Infect        ISSN: 0950-2688            Impact factor:   2.451


  123 in total

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Journal:  Proc Biol Sci       Date:  2003-01-07       Impact factor: 5.349

2.  Preferential sexual transmission of pseudorabies virus in feral swine populations may not account for observed seroprevalence in the USA.

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Review 3.  A rigorous approach to investigating common assumptions about disease transmission: Process algebra as an emerging modelling methodology for epidemiology.

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Review 4.  Mathematical modeling of the transmission and control of foodborne pathogens and antimicrobial resistance at preharvest.

Authors:  Cristina Lanzas; Zhao Lu; Yrjo T Gröhn
Journal:  Foodborne Pathog Dis       Date:  2010-11-02       Impact factor: 3.171

5.  A symbiont's dispersal strategy: condition-dependent dispersal underlies predictable variation in direct transmission among hosts.

Authors:  James Skelton; Robert P Creed; Bryan L Brown
Journal:  Proc Biol Sci       Date:  2015-11-22       Impact factor: 5.349

6.  Measuring the transmission dynamics of a sexually transmitted disease.

Authors:  Jonathan J Ryder; K Mary Webberley; Michael Boots; Robert J Knell
Journal:  Proc Natl Acad Sci U S A       Date:  2005-10-04       Impact factor: 11.205

7.  Disease induced dynamics in host-parasitoid systems: chaos and coexistence.

Authors:  Katharine F Preedy; Pietà G Schofield; Mark A J Chaplain; Stephen F Hubbard
Journal:  J R Soc Interface       Date:  2007-06-22       Impact factor: 4.118

Review 8.  One model to rule them all? Modelling approaches across OneHealth for human, animal and plant epidemics.

Authors:  Adam Kleczkowski; Andy Hoyle; Paul McMenemy
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-06-24       Impact factor: 6.237

9.  Contact rates of wild-living and domestic dog populations in Australia: a new approach.

Authors:  Jessica Sparkes; Guy Ballard; Peter J S Fleming; Remy van de Ven; Gerhard Körtner
Journal:  Oecologia       Date:  2016-09-22       Impact factor: 3.225

10.  Managing dynamic epidemiological risks through trade.

Authors:  Richard D Horan; Eli P Fenichel; David Finnoff; Christopher A Wolf
Journal:  J Econ Dyn Control       Date:  2015-04-01
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