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Adnan Khan
Associate Professor
Research Interests
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Articles (3)
Year:
2025
Year:
2024
Synergistic interaction between influenza and pneumonia is well established in the literature. In this study, we present a model for the transmission dynamics of co-infection with influenza and pneumococcal pneumonia, with the goal of assessing the effects of influenza co-infection on the transmission of pneumonia. We derive an expression for the basic reproductive number [Formula: see text] where [Formula: see text] and [Formula: see text] are, respectively, the reproductive numbers for flu and pneumonia. We show that in the case [Formula: see text], infection with influenza is driven to extinction while pneumonia is endemic, with the endemic state being globally asymptotically stable. The converse result holds in the case where [Formula: see text]. We also show the existence of the co-infection equilibrium. In this case, we show that the presence of co-infection results in a possible backward bifurcation in the system at [Formula: see text]; epidemiologically, this means that the spread of the infection will be harder to control. Numerical simulations are presented to verify the analytic results and gain further insights.
Year:
2023
Collaborators (2)
Mudassar Imran
Associate Professor
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Zahra Lakdawala
Fraunhofer Institute for Wind Energy Systems
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