activity
20202025
most citedInference in epidemiological agent-based models using ensemble-based data assimilation

17 citations · 29 across the 5 of their papers we have counts for

collaborators

5 papers

physics.soc-ph2025

Modeling Epidemics on Multiplex Networks: Epidemic Threshold and Basic Reproduction Number

Eric Alejandro Rozan, Mario Ignacio Simoy, Sebastian Bouzat +1

Accurate epidemic forecasting requires models that account for the layered and heterogeneous nature of real social interactions. The basic reproduction number , as ca…

q-bio.PE2024

Stochastic two-patch epidemic model with nonlinear recidivism

Juan G. Calvo, Mario I. Simoy, Juan P. Aparicio +2

We develop a stochastic two-patch epidemic model with nonlinear recidivism to investigate infectious disease dynamics in heterogeneous populations. Extending a deterministic framew…

q-bio.PE2022

Non-local interaction effects in models of interacting populations

Mario I. Simoy, Marcelo N. Kuperman

We consider a couple of models for the dynamics of the populations of two interacting species, inspired by Lotka-Volterra's classical equations. The novelty of this work is that th…

stat.AP2021★ 17 cited

Inference in epidemiological agent-based models using ensemble-based data assimilation

Tadeo Javier Cocucci, Manuel Pulido, Juan Aparicio +3

To represent the complex individual interactions in the dynamics of disease spread informed by data, the coupling of an epidemiological agent-based model with the ensemble Kalman f…

q-bio.PE2020★ 12 cited

Ross-Macdonald Models: Which one should we use?

Mario Ignacio Simoy, Juan Pablo Aparicio

Ross-Macdonald models are the building blocks of most vector-borne disease models. Even for the same disease, different authors use different model formulations, but a study of the…