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Generic approach for mathematical model of multi-strain pandemics.

Teddy LazebnikSvetlana Bunimovich-Mendrazitsky
Published in: PloS one (2022)
Multi-strain pandemics have emerged as a major concern. We introduce a new model for assessing the connection between multi-strain pandemics and mortality rate, basic reproduction number, and maximum infected individuals. The proposed model provides a general mathematical approach for representing multi-strain pandemics, generalizing for an arbitrary number of strains. We show that the proposed model fits well with epidemiological historical world health data over a long time period. From a theoretical point of view, we show that the increasing number of strains increases logarithmically the maximum number of infected individuals and the mean mortality rate. Moreover, the mean basic reproduction number is statistically identical to the single, most aggressive pandemic strain for multi-strain pandemics.
Keyphrases
  • escherichia coli
  • healthcare
  • public health
  • coronavirus disease
  • cardiovascular events
  • mental health
  • cardiovascular disease
  • electronic health record
  • risk assessment
  • climate change
  • data analysis