Regular ArticleThe Population Genetics of Antibiotic Resistance II: Analytic Theory for Sustained Populations of Bacteria in a Community of Hosts☆
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Cited by (36)
A unified inter-host and in-host model of antibiotic resistance and infection spread in a hospital ward
2017, Journal of Theoretical BiologyCitation Excerpt :The works (Opatowski et al., 2010; Temime et al., 2003) permit random movement of hosts between the sub-populations, simulating random mutations of pathogens, a widely-accepted source for changes in resistance. A second approach, used by Stewart et al. (1998) and Webb and collaborators (D’Agata et al., 2006; Webb et al., 2005), permits hosts to carry two pathogen strains (representing different resistance-levels) simultaneously. To incorporate the effects of these multiple strains, these researchers use an inter-host modeling structure similar to the partial differential equations models used in population dynamics, where the in-host influence enters as a new independent variable, representing either the proportion of the resistant strain within the host (in the former) or age-of-infection (as in the latter).
Changing antibiotic resistance: sustainability transformation to a pro-microbial planet
2017, Current Opinion in Environmental SustainabilityCitation Excerpt :This potential is enhanced by transport of microbial genes and antibiotic residues through global trade and travel of people and their personal microbiomes, which increases the speed of local resistance evolution with locally new resistance genes more likely to spread globally [78] (Figure 3e). Worryingly, while resistance has spread to all major classes of antibiotics on the market (Figure 3d), once resistance is frequent it can become much more difficult to reverse to lower levels across the community of microbial species [17•,64,79,80] (Figure 3c). Horizontal gene transfer makes microbial evolution a particularly complex and hard to predict process [63,81,82].
The influence of the multiplicity of infection upon the dynamics of a crop-pest-pathogen model with defence mechanisms
2015, Applied Mathematical ModellingCitation Excerpt :The models describing the spread of resistance factors through a population of hosts usually follow the SIS models; see, for instance, studies on the epidemiology of resistance spread [47,48]. Further, [42] explored both of the above situations in a model that incorporates within-host dynamics and tracks the average infection rates across hosts, pointing out that indiscriminate use of antibiotics greatly increases the rate of defence development. [41] provided another excellent modeling framework in which the direct interaction of hosts is considered, rather than interaction through an environmental pool, and found that resistance can be managed by cycling different antibiotics or using combinations of antibiotics.
Stakeholder position paper: Epidemiological perspectives on antibiotic use in animals
2006, Preventive Veterinary MedicineAntibiotic and insecticide resistance modeling - Is it time to start talking?
2001, Trends in MicrobiologyApplication of dynamic modelling techniques to the problem of antibacterial use and resistance: A scoping review
2018, Epidemiology and Infection
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S. B. LevyR. P. Novick