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Best Paper

FRI-2.203-SSS-FM-09

THE LOGISTIC EQUATION IN POPULATION ECOLOGY AND EPIDEMIOLOGY

Език: ENСтраници: 176-182

Цитиране на доклада

Yoana Delimarkova, Student

Financial Mathematics Student University of Ruse “Angel Kanchev”

E-mail: joana.delimarkova@gmail.com

Assoc. Prof. Julia Chaparova, PhD

Department of Mathematics University of Ruse “Angel Kanchev”

ORCID: 0000-0003-4138-7355

E-mail: jchaparova@uni-ruse.bg

Abstract

In this paper we review the fundamental mathematical models in population biology and epidemiology, with particular emphasis placed on the exponential and logistic models. Exponential growth is described by the Malthusian model, in which unlimited resources are assumed, but environmental constraints are not taken into account. To overcome this limitation, the logistic equation was introduced by Verhulst, incorporating the concept of carrying capacity and providing a more realistic model of population dynamics. The logistic model is also applied in epidemiology, where it is used to describe the spread of infectious diseases.

Keywords

Malthusian exponential model, Verhulstian logistic model, allometry, epidemiology, mathematical models

REFERENCES

  • F. Brauer, C. Castillo-Chavez, Mathematical Models in Population Biology and Epidemiology, (2nd ed.), Springer, 2012.
  • Murray, J. Mathematical Biology: An Introduction, Volume 1 (3rd ed.), Springer, 2002.
  • M. Braun, Differential Equations and Their Applications: An Introduction to Applied Mathematics, Springer-Verlag, 1993.
  • https://bg.alegsaonline.com/art/2847
  • S. Tersian, J. Chaparova, Ordinary Differential Equations: Introduction via Mathematica, Ruse University Press, 2005 (in Bulgarian).