Answers are grounded in this paper and cite their sources.
Some epidemiological models exhibit bi-stable dynamics even when the basic reproduction number R₀ is below $ 1 $, through a phenomenon known as a backward bifurcation. Causes for this phenomenon include exogenous reinfection, super-infection, relapse, vaccination exercises, heterogeneity among subpopulations, etc. To measure the reinfection forces, this paper defines a second threshold: the basic reinfection number. This number characterizes the type of bifurcation when the basic reproduction number is equal to one. If the basic reinfection number is greater than one, the bifurcation is backward. Otherwise it is forward. The basic reinfection number with the basic reproduction number together gives a complete measure for disease control whenever reinfections (or relapses) matter. We formulate the basic reinfection number for a variety of epidemiological models.
No takes yet. Share an insight, caveat, or question.
Baojun Song (2021) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: