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Generic approach for mathematical model of multi-strain pandemics

Teddy Lazebnik, Svetlana Bunimovich‐Mendrazitsky

2022PLoS ONE46 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

PandemicStrain (injury)Basic reproduction numberEpidemic modelCoronavirus disease 2019 (COVID-19)Mortality rateBiologyMathematicsStatisticsDemographyInfectious disease (medical specialty)MedicinePopulationDiseaseSociologyPathologyAnatomyCOVID-19 epidemiological studiesMathematical and Theoretical Epidemiology and Ecology ModelsEvolution and Genetic Dynamics
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