activity
20192025
collaborators

5 papers

q-bio.PE2025

Simulating cell populations with explicit cell cycle length -- implications to cell cycle dependent tumour therapy

Peter Boldog, Gergely Röst

In this study, we present a stochastic simulation model designed to explicitly incorporate cell cycle length, overcoming limitations associated with classical compartmental models.…

q-bio.QM2025

Age Group Sensitivity Analysis of Epidemic Models: Investigating the Impact of Contact Matrix Structure

Zsolt Vizi, Evans Kiptoo Korir, Norbert Bogya +3

Understanding the role of different age groups in disease transmission is crucial for designing effective intervention strategies. A key parameter in age-structured epidemic models…

q-bio.PE2022

Exact lattice-based stochastic cell culture simulation algorithms incorporating spontaneous and contact-dependent reactions

Peter Boldog

In this paper, we address the modeling issues of cell movement and division with a special focus on the phenomenon of volume exclusion in a lattice-based, exact stochastic simulati…

q-bio.QM2021

Propensity matrix method for age dependent stochastic infectious disease models

Péter Boldog, Norbert Bogya, Zsolt Vizi

Mathematical modeling is one of the key factors of the effective control of newly found infectious diseases, such as COVID-19. Our knowledge about the parameters and the course of…

q-bio.CB2019

Convergence of solutions in a mean-field model of go-or-grow type with reservation of sites for proliferation and cell cycle delay

Ruth E. Baker, Péter Boldog, Gergely Röst

We consider the mean-field approximation of an individual-based model describing cell motility and proliferation, which incorporates the volume exclusion principle, the go-or-grow…