2007
DOI: 10.1016/j.tpb.2007.08.005
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Evaluating the importance of within- and between-host selection pressures on the evolution of chronic pathogens

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Cited by 128 publications
(111 citation statements)
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References 62 publications
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“…In general terms, we predict that a parasite may be selected for in the environment if it provides protection from a more virulent pathogen. The competitive advantage we observed for a low-cost (that is, low-virulence) parasitic element provides a valuable contrast to studies that predict or demonstrate an increase in virulence under competitive pressure for other parasites (Kover et al, 1997;Kover and Clay, 1998;Kerr et al, 2006;Coombs et al, 2007;Bull and Ebert, 2008). We postulate that the importance of vertical transmission and the resistance of the infected host to superinfection are key factors that support a competitive reduction in virulence in our system.…”
Section: Discussionmentioning
confidence: 56%
“…In general terms, we predict that a parasite may be selected for in the environment if it provides protection from a more virulent pathogen. The competitive advantage we observed for a low-cost (that is, low-virulence) parasitic element provides a valuable contrast to studies that predict or demonstrate an increase in virulence under competitive pressure for other parasites (Kover et al, 1997;Kover and Clay, 1998;Kerr et al, 2006;Coombs et al, 2007;Bull and Ebert, 2008). We postulate that the importance of vertical transmission and the resistance of the infected host to superinfection are key factors that support a competitive reduction in virulence in our system.…”
Section: Discussionmentioning
confidence: 56%
“…Much of the work to date has been motivated by the withinhost dynamics of HIV infection ( Nowak & May 2000;Perelson 2002), but the interest in influenza and other acute infections is allowing mathematical models to be developed for a range of other diseases (Baccam et al 2006;Heffernan & Keeling 2008). It is to be hoped that incorporating such mechanisms into epidemiological models will allow for greater insights into issues such as repeat infections, partial immunity, cross-reaction between strains, heterogeneous response to infection and transmission-virulence trade-offs (Gilchrist & Coombs 2006;Read & Keeling 2006;Coombs et al 2007) for general models. This merging of scales is also clearly necessary if epidemiology and public-health modelling are to exploit the wealth of new genetic and molecular information available on many pathogens.…”
Section: Discussionmentioning
confidence: 99%
“…This framework allows one to explicitly determine parameters of the between-host model from the behaviour of the within-host model-and hence predict the transmission consequences of waning immunity. Previous studies have used nested models to link within-host and epidemiological characteristics to study the relationship between transmission and virulence (Sasaki & Iwasa 1991;Antia et al 1994;Ganusov et al 2002;Gilchrist & Sasaki 2002;André et al 2003;Krakauer & Komarova 2003;Alizon & Van Baalen 2005;Gilchrist & Coombs 2006;Read & Keeling 2006;Coombs et al 2007), while other studies have developed immunoepidemiological models, where the classes of hosts are delineated by immune or infection status (Kostova 2005;Vickers & Osgood 2007;Cornell et al 2008;Mitchell et al 2008). However, with the exception of a select few (e.g.…”
Section: Introductionmentioning
confidence: 99%
“…The within-and between-host dynamics have been studied for several infectious diseases using the nested models (e.g. [7,9,[11][12][13][14][15][16]25]). However, to the best of our knowledge, no existing work has attempted to address the coupled within-and between-host dynamics of cholera (a severe water-borne gastroenteric disease caused by the bacterium Vibrio cholerae), despite the fact that a large body of work has been devoted to its population level modelling (e.g.…”
Section: Introductionmentioning
confidence: 99%