Co-infection dynamics of COVID-19 and HIV/AIDS

Tesfaneh Debele Batu1, Legesse Lemecha Obsu2, Chernet Tuge Deressa3

  • 1Department of Applied Mathematics, Adama Science and Technology University, Adama, Ethiopia.

Scientific Reports
|October 27, 2023
PubMed

Insights

COVID-19 and Human Immunodeficiency Virus (HIV) co-infection poses significant risks, particularly for individuals with advanced HIV. Mathematical modeling and Ethiopian data analysis reveal that increased vaccination and treatment rates can reduce co-infection fatalities.

Area of Science:

  • Epidemiology and Mathematical Modeling
  • Infectious Disease Dynamics

Background:

  • Coronavirus Disease 2019 (COVID-19) and Human Immunodeficiency Virus (HIV) remain significant public health challenges, with co-infection posing a particular threat to immunocompromised individuals.
  • People with advanced HIV are a vulnerable population at high risk for severe outcomes when co-infected with COVID-19.
  • The lack of a cure for HIV and the potential for recurrent COVID-19 infections necessitate understanding co-infection dynamics.

Purpose of the Study:

  • To investigate the impact of intervention strategies on COVID-19 and HIV co-infection outcomes.
  • To identify key parameters influencing mortality risk in people living with HIV who contract COVID-19.
  • To analyze the transmission dynamics of COVID-19 and HIV co-infection using a mathematical model.

Main Methods:

  • Development and rigorous analysis of a mathematical model for COVID-19 and HIV co-infection.
  • Establishment of the model's invariant region, positivity, and boundedness.
  • Calculation of reproduction numbers, examination of equilibria, and analysis of backward bifurcation for the COVID-19 sub-model.
  • Parametric estimation using Ethiopian data, followed by numerical simulations to assess parameter effects and intervention impacts.

Main Results:

  • Parameters related to increased exposure and infectiousness in HIV patients positively correlate with higher co-infection rates.
  • Increased COVID-19 vaccination rates ([Formula: see text]) demonstrate a suppressive effect on co-infection cases.
  • Enhanced treatment rates for COVID-19 ([Formula: see text] and [Formula: see text]) in co-infected individuals significantly reduce the risk of death.
  • Backward bifurcation in the COVID-19 sub-model indicates that an R0 less than 1 is insufficient for disease elimination.

Conclusions:

  • Improving COVID-19 vaccine delivery programs and medical interventions are crucial for reducing COVID-19-related mortality in people living with HIV.
  • Targeted interventions addressing increased infectiousness and exposure in HIV patients are vital for controlling co-infection.
  • Mathematical modeling provides valuable insights into the complex dynamics of infectious disease co-infections and the efficacy of control strategies.

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