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Modeling the transmission dynamics of delayed pneumonia-like diseases with a sensitivity of parameters.

Muhammad NaveedDumitru BaleanuAli RazaMuhammad RafiqAtif Hassan SooriMuhammad Mohsin
Published in: Advances in difference equations (2021)
Pneumonia is a highly transmitted disease in children. According to the World Health Organization (WHO), the most affected regions include South Asia and sub-Saharan Africa. 15% deaths of children are due to pneumonia. In 2017, 0.88 million children were killed under the age of five years. An analysis of pneumonia disease is performed with the help of a delayed mathematical modelling technique. The epidemiological system contemplates subpopulations of susceptible, carriers, infected and recovered individuals, along with nonlinear interactions between the members of those subpopulations. The positivity and the boundedness of the ongoing problem for nonnegative initial data are thoroughly proved. The system possesses pneumonia-free and pneumonia existing equilibrium points, whose stability is studied rigorously. Moreover, the numerical simulations confirm the validity of these theoretical results.
Keyphrases
  • young adults
  • community acquired pneumonia
  • respiratory failure
  • molecular dynamics
  • intensive care unit
  • machine learning
  • deep learning
  • acute respiratory distress syndrome