Propagation thresholds in a diffusive epidemic model with latency and vaccination
Yahui Wang1, Xinjian Wang1, Guo Lin1
1School of Mathematics and Statistics, Lanzhou University, Lanzhou, 730000 Gansu People's Republic of China.
Summary
This study analyzes epidemic spread using a diffusive model with latency and vaccination. Vaccination was found to reduce the disease
Area of Science:
- Epidemiology
- Mathematical Biology
- Dynamical Systems
Background:
- Understanding disease propagation is crucial for public health interventions.
- Diffusive epidemic models with latency and vaccination are essential for studying disease dynamics.
- Spatial spread and its thresholds require detailed mathematical analysis.
Purpose of the Study:
- To investigate propagation thresholds in a diffusive epidemic model incorporating latency and vaccination.
- To analyze the spatial expansion features of infected populations under specific initial conditions.
- To determine the relationship between minimal spreading speed and traveling wave solutions.
Main Methods:
- Analysis of a diffusive epidemic model with latency and vaccination.
- Study of spatial expansion under exponentially decaying initial conditions.
- Investigation of convergence using compact open topology for finite spreading speeds.
- Characterization of minimal spreading speed via traveling wave solutions.
Main Results:
- Different leftward and rightward spreading speeds were observed based on initial decaying values.
- Convergence was studied for finite spreading speeds.
- The minimal spreading speed was identified as the minimal wave speed of traveling wave solutions.
- Vaccination was shown to decrease the spatial expansion ability of the disease.
Conclusions:
- The study elucidates the spatial dynamics of epidemic propagation in a diffusive model.
- Asymptotic behavior of traveling wave solutions is key to distinguishing minimal spreading speeds.
- Vaccination emerges as a significant factor in mitigating disease spatial spread.
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