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Mathematical Epidemiological Model of the Propagation and Prevention of Infectious Diseases Considering COVID-19 Vaccination

Authors: Kazumi Omata; Hiroaki Mitsuya;

Mathematical Epidemiological Model of the Propagation and Prevention of Infectious Diseases Considering COVID-19 Vaccination

Abstract

Abstract The duration of the necessity of current restrictions and preventive countermeasures against the COVID-19 pandemic is of great concern. While several previous epidemiological studies have discussed controlling the course of the epidemic with regard to social distancing, vaccination, care capacities, and future scenarios, we adopt an alternative approach to provide insights into the time scale of epidemic propagation in human populations. We show that the reproduction number modified by preventive countermeasures Rm implies a threshold R~m to reach the herd immunity level at time Th. While Th varies moderately for large Rm, it increases sharply around Rm=R~m, and Th is infinite below Rm=R~m. The transition region for this increase is minute, demonstrating that prevention of infectious diseases must consider the relatively asymptotic nature of their propagation, which varies unpredictably between steady transmission and explosive outbreaks. These results suggest the continuation of preventive countermeasures to suppress the transmission of COVID-19 for many years; if they were discontinued or reduced such that Rm exceeded R~m, the disease would be transmitted throughout the considered community, and the required herd immunity level would be reached within 250 days if Rm > 1.6. However, the implementation of vaccination programs could drastically alter this dynamic.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
hybrid