A Mathematical Analysis of Competitive Dynamics and Aggressive Treatment in the Evolution of Drug Resistance in Malaria Parasites

Tianqi Song, Yishi Wang, Yang Li () and Guoliang Fan
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Tianqi Song: School of Economics and Management, Shanghai Maritime University, Shanghai 201306, China
Yishi Wang: Shanghai Institute of Aerospace System Engineering, Shanghai 201108, China
Yang Li: School of Economics and Management, Shanghai Maritime University, Shanghai 201306, China
Guoliang Fan: School of Economics and Management, Shanghai Maritime University, Shanghai 201306, China

Mathematics, 2024, vol. 12, issue 10, 1-16

Abstract: Experimental evidence supports the counterintuitive notion that rapid eradication of pathogens within a host, infected with both drug-sensitive and -resistant malaria parasites, can actually accelerate the evolution of drug-resistant pathogens. This study aims to analyze the competitive dynamics between these two strains through a mathematical model and evaluate the impact of aggressive treatment on the spread of drug resistance. We conducted equilibrium, uncertainty, and sensitivity analyses to assess the model, identifying and measuring the influence of key factors on the outcome variable (the population of drug-resistant parasites). Both equilibrium and local sensitivity analyses concurred that the density of drug-resistant parasites is notably affected by genetic instability, the production rate of red blood cells, the number of merozoites, and competition factors. Conversely, there is a negative relationship between genetic instability and one of the competition coefficients. Global sensitivity analysis offers a comprehensive examination of the impact of each input parameter on the temporal propagation of drug resistance, effectively accounting for the interplay among parameters. Both local and global sensitivity analyses underscore the continuous impact of drug treatment on the progression of drug resistance over time. This paper anticipates exploring the underlying mechanisms of drug resistance and providing theoretical support for developing more effective drug treatment strategies.

Keywords: drug resistance evolution; competitive dynamics; aggressive treatment; uncertainty and sensitivity analysis (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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