activity
20232026
most citedAdvancing Mathematical Epidemiology and Chemical Reaction Network Theory via Synergies Between Them

7 citations · 8 across the 11 of their papers we have counts for

collaborators

11 papers

math.DS2026

A Perron-Frobenius strong threshold theorem for (A, B, P, ϕ) balanced bilinear models, and the role of left and right Perron eigenvectors in mathematical epidemiology

Florin Avram, Rim Adenane, Andrei-Dan Halanay +2

This paper started as a review of seven results pertaining to a family of bilinear models with rank one NGM introduced by Fall, Iggidr, Sallet and Bonzi, which utilize the explicit…

q-bio.MN2026

Triangularity of the Jacobian on siphon faces, the Metzler property of its transversal component and other results

Florin Avram, Rim Adenane, Andrei-Dan Halanay

We establish two structural properties of the Jacobian of a positive ODE on any invariant boundary face, i.e. on the face defined by a siphon of an associated Chemical Reaction Net…

math.DS2026

Relay transitions and invasion thresholds in multi-strain rumor models: a chemical reaction network approach

Florin Avram, Rim Adenane, Andrei-Dan Halanay

The historical quest for unifying the concepts and methods of Chemical Reaction Networks theory (CRNT), Mahematical Epidemiology (ME) and ecology has received increased attention i…

math.DS2025

On the Similarity between Epidemiologic Strains, Minimal Self-Replicable Siphons, and autocatalytic cores in (Chemical) Reaction Networks: Towards a Unifying Framework

Florin Avram, Rim Adenane, Lasko Basnarkov +1

We aim to study boundary stability and persistence of positive odes in mathematical epidemiology models by importing structural tools from chemical reaction networks. This is large…

q-bio.MN2025

The Boundary Reproduction Number for Determining Boundary Steady State Stability in Chemical Reaction Systems

Matthew D. Johnston, Florin Avram

We introduce the boundary reproduction number, adapted from the next generation matrix method, to assess whether an infusion of species will persist or become exhausted in a chemic…

math.DS2024★ 7 cited

Advancing Mathematical Epidemiology and Chemical Reaction Network Theory via Synergies Between Them

Florin Avram, Rim Adenane, Mircea Neagu

Our paper reviews some key concepts in chemical reaction network theory and mathematical epidemiology, and examines their intersection, with three goals. The first is to make the c…

q-bio.MN2024★ 1 cited

Stability in Reaction Network Models via an Extension of the Next Generation Matrix Method

Florin Avram, Rim Adenane, Andrei D. Halanay +1

In this essay, we investigate some relations between Chemical Reaction Networks (CRN) and Mathematical Epidemiology (ME) and report on several pleasant surprises which we had simpl…

math.DS2024

Advancing Mathematical Epidemic Modeling via synergies with Chemical Reaction Network Theory and Lagrange-Hamilton Geometry

Florin Avram, Rim Adenane, Mircea Neagu

This essay reviews some key concepts in mathematical epidemiology and examines the intersection of this field with related scientific disciplines, such as chemical reaction network…

math.DS2024

Finding bifurcations in mathematical epidemiology via reaction network methods

Nicola Vassena, Florin Avram, Rim Adenane

Mathematical Epidemiology (ME) shares with Chemical Reaction Network Theory (CRNT) the basic mathematical structure of its dynamical systems. Despite this central similarity, metho…

q-bio.PE2023

Algorithmic approach for an unique definition of the next generation matrix

Florin Avram, Rim Adenane, Lasko Basnarkov +1

The basic reproduction number R0 is a concept which originated in population dynamics, mathematical epidemiology, and ecology and is closely related to the mean number of children…

math.DS2023

Dynamics of an SIR epidemic model with limited medical resources, revisited and corrected

Rim Adenane, Florin Avram, Mohamed El Fatini +1

This paper generalizes and corrects a famous paper (more than 200 citations) concerning Hopf and Bogdanov-Takens bifurcations due to L. Zhou and M. Fan, "Dynamics of an SIR epidemi…