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Basic reinfection number and backward bifurcation
1Department of Applied Mathematics and Statistics, Montclair State University, 1 Normal Avenue, Montclair, NJ 07043, USA.
Mathematical Biosciences and Engineering : MBE
|November 24, 2021
Summary
Epidemiological models can show backward bifurcation due to reinfection. This study introduces the basic reinfection number to measure this, aiding disease control strategies when reinfection is a factor.
Area of Science:
- Epidemiology
- Mathematical Biology
- Infectious Disease Dynamics
Background:
- Some epidemiological models exhibit bi-stable dynamics, a phenomenon known as backward bifurcation, even when the basic reproduction number ($R_0$) is below 1.
- Causes for backward bifurcation include exogenous reinfection, super-infection, relapse, vaccination, and subpopulation heterogeneity.
Purpose of the Study:
- To define a new threshold, the basic reinfection number, to quantify reinfection forces.
- To characterize the type of bifurcation when the basic reproduction number equals one.
- To provide a comprehensive measure for disease control when reinfections or relapses are significant.
Main Methods:
- Definition of the basic reinfection number as a second threshold.
- Analysis of epidemiological models to formulate the basic reinfection number.
- Comparison of backward and forward bifurcation based on the basic reinfection number.
Main Results:
- The basic reinfection number characterizes the bifurcation type when $R_0 = 1$.
- A backward bifurcation occurs if the basic reinfection number is greater than one.
- A forward bifurcation occurs if the basic reinfection number is less than or equal to one.
Conclusions:
- The basic reproduction number and basic reinfection number together offer a complete measure for disease control in models with reinfection or relapse.
- The study formulates the basic reinfection number for various epidemiological models.
- This new metric enhances understanding and management of infectious diseases influenced by reinfection dynamics.
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