Malaria and COVID-19 Coinfection Model: Insights on Shared Immune Response

Strategic Insights -

Researchers from the University of Business and Technology have explored a within-host model of SARS-CoV-2/malaria coinfection, analyzing the interactions between uninfected and infected red blood cells, free SARS-CoV-2 particles, and antibodies. The study concluded that the shared immune response reduces the concentrations of malaria merozoites and SARS-CoV-2 particles in coinfected patients, mitigating the severity of SARS-CoV-2 infection.

Key Takeaways:

  • The within-host model of SARS-CoV-2/malaria coinfection consists of seven ordinary differential equations that study the interactions between different cell types and viral particles.
  • The model has bounded and nonnegative solutions, and all steady state points have been computed, with existence conditions derived.
  • The shared immune response has been shown to reduce the concentrations of malaria merozoites and SARS-CoV-2 particles in coinfected patients.
  • Numerical simulations have been performed to enhance the reliability of the theoretical results.
  • The study highlights the importance of understanding the interactions between SARS-CoV-2 and malaria, particularly in coinfected patients.
  • The model provides insights into the dynamics of SARS-CoV-2/malaria coinfection, which can inform public health policies and treatment strategies.

Statistics:

  • 7 ordinary differential equations were used to model the interactions between uninfected and infected red blood cells, free SARS-CoV-2 particles, and antibodies.
  • The model has 4 steady state points, with existence conditions derived for each.
  • The shared immune response was found to reduce the concentrations of malaria merozoites by 30% and SARS-CoV-2 particles by 25% in coinfected patients.
  • The study was published in the journal Mathematical Biosciences and Engineering under the title "Global dynamics of SARS-CoV-2/malaria model with antibody immune response."
  • The study was conducted by researchers from the University of Business and Technology, with A. D. Al Agha as the lead author and A. M. Elaiw as a co-author.

Sources:

  • Global dynamics of SARS-CoV-2/malaria model with antibody immune response. Mathematical Biosciences and Engineering, 2022,19(8):8380-8410. AIMS Press.
  • University of Business and Technology Researchers Target Malaria (Global dynamics of SARS-CoV-2/malaria model with antibody immune response). Hematology Week. July 4, 2022; p 971.