Appraisal and Simulation on Codynamics of Pneumonia and Meningitis with Vaccination Intervention: From a Mathematical

Belela Samuel Kotola1,2, Dawit Melese Gebru3, Haileyesus Tessema Alemneh4

  • 1Department of Mathematics, Debre Berhan University, Debre Berhan, Ethiopia.

Insights

This study models pneumococcal meningitis and pneumonia coinfection dynamics. Reducing transmission rates and increasing vaccination are key to controlling this serious illness.

Area of Science:

  • Epidemiology
  • Mathematical Biology
  • Infectious Disease Dynamics

Background:

  • Pneumococcal meningitis is a life-threatening infection causing inflammation of brain and spinal cord membranes.
  • Pneumonia and meningitis coinfection presents a significant public health challenge, requiring effective management strategies.

Purpose of the Study:

  • To analyze the community dynamics of pneumonia and meningitis coinfection.
  • To suggest evidence-based management techniques for stakeholders.

Main Methods:

  • Utilized a mathematical compartment model to simulate coinfection dynamics.
  • Employed the next-generation matrix approach to derive effective reproduction numbers.
  • Conducted sensitivity analysis to identify key transmission factors.

Main Results:

  • The model indicates a stable disease-free equilibrium when the reproduction number is below one.
  • Sensitivity analysis revealed high sensitivity of transmission rates for both pneumonia and meningitis.
  • The endemic equilibrium point is stable when the maximum reproduction number exceeds one.

Conclusions:

  • Reducing transmission rates is crucial for controlling coinfection.
  • Strategies should focus on decreasing vaccination waning and increasing vaccination coverage for both diseases.
  • Stakeholders must prioritize these measures for effective prevention and control.

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