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Temporal and spatial modelling of escherichia coli antimicrobial resistance
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Temporal and spatial modelling of escherichia coli antimicrobial resistance

Kgomotso Emmanuel Moloko
Master of Science (MSc), University of Johannesburg
2026
Handle:
https://hdl.handle.net/10210/521566

Abstract

Antimicrobial resistance (AMR) poses a major global public health challenge, with Escherichia coli (E. coli) playing a central role due to its high prevalence and capacity to acquire resistance through plasmid-mediated gene transfer. This study examined the temporal and spatial dynamics of drug-sensitive and drug-resistant E. coli within the human gut and the external environment, focusing on mechanisms that drive the persistence and spread of resistance. A deterministic reaction-diffusion model was developed to capture key biological processes, including bacterial growth and competition, resistance fitness costs, horizontal gene transfer via plasmid conjugation, environmental shedding and ingestion, and spatial diffusion in both domains. Mathematical analysis examined model positivity, boundedness and equilibrium behaviour, while stability and Turing analyses were used to identify conditions under which diffusion could destabilise homogeneous equilibria. Numerical simulations, implemented using Crank–Nicolson and central difference schemes, showed that sensitive and resistant E. coli populations can coexist in the gut and environment through a feedback loop involving shedding and ingestion. Increased ingestion rates, representing poor hygiene, accelerated resistant strain growth in the gut, whereas reduced ingestion limited host colonisation but allowed environmental reservoirs to persist. The resistance fitness cost was found to moderate the spread of resistance, promoting coexistence rather than competitive exclusion, while plasmid-mediated gene transfer emerged as the dominant driver of resistance proliferation. Spatial diffusion strongly influenced persistence and distribution, with high diffusion promoting homogenisation and survival, and differential diffusion generating spatial pattern formation. Overall, the results highlight that AMR dynamics are driven by interacting spatial, biological and behavioural processes, underscoring the need for integrated control strategies combining hygiene improvement, antimicrobial stewardship and disruption of plasmid transfer mechanisms.
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