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article · Nonlinear science.

A mathematical model of Cholera–Typhoid coinfection dynamics with dual-seasonally driven contact rates

2024Open accessUniversity of Namibia

Abstract

Cholera and Typhoid Fever place a huge burden on public health systems of predominantly Asian and African countries. Poor sanitation and suboptimal treatment of these infections have been the primary causes of the resurgence of these infections in recent years. A mathematical model, consisting of a dynamical system, is used to model the progression of cholera, typhoid and co-infection cases over time. The seasonality of the infections is modelled using trigonometric functions. The findings show that during peak transmission, the severity of cholera and typhoid is determined by the presence or absence of a peak in coinfection cases.

Research topics

  • Vibrio bacteria research studies
  • Escherichia coli research studies
  • Viral gastroenteritis research and epidemiology

Sustainable Development Goals

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DOI: 10.1016/j.nls.2024.100001

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