Hyperbolic Representation of the Richards Growth Model

The phenomenological universalities (PU) approach is employed to derive the Richards growth function in the unknown hyperbolic representation. The formula derived can be applied in theoretical modeling of sigmoid and involuted growth of biological systems. In the model proposed, the exponent in the Richards function has the following clear biological meaning: it describes the number of cells doubling, leading to an increase in a biomass of the system from m0 (birth or hatching mass) to the limiting value m∞ (mass at maturity). The generalized form of the universal growth function is derived. It can be employed in fitting the weight–age data for a variety of biological systems, including copepods, tumors, fish, birds, mammals and dinosaurs. Both the PU methodology and the Richards model can be effectively applied in the theoretical modeling of infectious disease outbreaks. To substantiate this assertion, the simplest PU-SIR (Susceptible–Infective–Removed) epidemiological model is considered. In this approach, it is assumed that the number of births is approximately equal to the number of deaths, while the impact of recovered (quarantined) individuals on the dynamics of the infection is negligible.

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Journal
Mathematics
Published
2025-04-17
DOI
https://doi.org/10.3390/math13081316
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
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article
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Hyperbolic Representation of the Richards Growth Model

Marcin Molski
Mathematics
Mathematical and Theoretical Epidemiology and Ecology Models
article

Hyperbolic Representation of the Richards Growth Model

Marcin Molski
article en

Abstract

The phenomenological universalities (PU) approach is employed to derive the Richards growth function in the unknown hyperbolic representation. The formula derived can be applied in theoretical modeling of sigmoid and involuted growth of biological systems. In the model proposed, the exponent in the Richards function has the following clear biological meaning: it describes the number of cells doubling, leading to an increase in a biomass of the system from m0 (birth or hatching mass) to the limiting value m∞ (mass at maturity). The generalized form of the universal growth function is derived. It can be employed in fitting the weight–age data for a variety of biological systems, including copepods, tumors, fish, birds, mammals and dinosaurs. Both the PU methodology and the Richards model can be effectively applied in the theoretical modeling of infectious disease outbreaks. To substantiate this assertion, the simplest PU-SIR (Susceptible–Infective–Removed) epidemiological model is considered. In this approach, it is assumed that the number of births is approximately equal to the number of deaths, while the impact of recovered (quarantined) individuals on the dynamics of the infection is negligible.

MathematicsVol. 13(8)
Adam Mickiewicz University in Poznań (PL)
Openalex Percentile: Top 89%
Mathematical and Theoretical Epidemiology and Ecology Models
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Hyperbolic Representation of the Richards Growth Model — Marcin Molski · Mathematics (2025) | TGRS Research Map | TGRS