Dynamics and profiles of a degenerated reaction-diffusion host-pathogen model with apparent and inapparent infection

Jinliang Wang1, Han Lu1

  • 1Engineering Research Center of Agricultural Microbiology Technology, Ministry of Education & Heilongjiang Provincial Key Laboratory of Ecological Restoration and Resource Utilization for Cold Region & School of Mathematical Science, Heilongjiang University, Harbin 150080, PR China.

Communications in Nonlinear Science & Numerical Simulation
|June 12, 2023
PubMed

Insights

Inapparent infections significantly drive disease spread, as shown by a mathematical model. Controlling these hidden infections and environmental pathogens is crucial for effective disease prevention and management.

Area of Science:

  • Mathematical modeling
  • Epidemiology
  • Infectious disease dynamics

Background:

  • Inapparent infections, where hosts show few or no symptoms, are key drivers of pathogen transmission for diseases like HIV, typhoid fever, and COVID-19.
  • Understanding the role of inapparent infections is critical for developing effective disease control strategies.

Purpose of the Study:

  • To formulate and analyze a reaction-diffusion host-pathogen model that distinguishes between apparent and inapparent infectious individuals.
  • To investigate the impact of inapparent infections on disease spread and identify key factors for control.

Main Methods:

  • Development of a degenerated reaction-diffusion host-pathogen model with distinct classes for apparent and inapparent infectious individuals.
  • Mathematical analysis to derive threshold-type results and analyze the asymptotic profiles of the positive steady state.
  • Numerical simulations to explore the effects of spatial heterogeneity and transmission rates.

Main Results:

  • The model confirms that inapparent infectious individuals significantly increase disease transmission risk.
  • Spatial heterogeneity in transmission rates can intensify epidemics.
  • Disinfection of the environment is identified as an important preventive measure.

Conclusions:

  • Inapparent infections pose a substantial threat to public health and require targeted control measures.
  • Mathematical modeling provides valuable insights into disease dynamics and informs prevention strategies.
  • Environmental disinfection is a critical component of integrated disease control efforts.

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