activity
20052023
most citedA geometric analysis of the SIR, SIRS and SIRWS epidemiological models

66 citations · 160 across the 7 of their papers we have counts for

collaborators

7 papers

math.DS2023★ 17 cited

A geometric analysis of the SIRS model with secondary infections

Panagiotis Kaklamanos, Andrea Pugliese, Mattia Sensi +1

We propose a compartmental model for a disease with temporary immunity and secondary infections. From our assumptions on the parameters involved in the model, the system naturally…

q-bio.PE2021★ 34 cited

SUIHTER: A new mathematical model for COVID-19. Application to the analysis of the second epidemic outbreak in Italy

Nicola Parolini, Luca Dede', Paola F. Antonietti +6

The COVID-19 epidemic is the last of a long list of pandemics that have affected humankind in the last century. In this paper, we propose a novel mathematical epidemiological model…

math.DS2020★ 2 cited

A geometric analysis of the SIRS epidemiological model on a homogeneous network

Hildeberto Jardón-Kojakhmetov, Christian Kuehn, Andrea Pugliese +1

We study a fast-slow version of an SIRS epidemiological model on homogeneous graphs, obtained through the application of the moment closure method. We use GSPT to study the model,…

q-bio.PE2020★ 9 cited

Evolutionary dynamics in an SI epidemic model with phenotype-structured susceptible compartment

Tommaso Lorenzi, Andrea Pugliese, Mattia Sensi +1

We present an SI epidemic model whereby a continuous variable captures variability in proliferative potential and resistance to infection among susceptibles. The occurrence of heri…

q-bio.PE2020★ 9 cited

Inferring the COVID-19 infection curve in Italy

Andrea Pugliese, Sara Sottile

Aim of this manuscript is to show a simple method to infer the time-course of new COVID-19 infections (the most important information in order to establish the effect of containmen…

math.DS2020★ 66 cited

A geometric analysis of the SIR, SIRS and SIRWS epidemiological models

Hildeberto Jardón-Kojakhmetov, Christian Kuehn, Andrea Pugliese +1

We study fast-slow versions of the SIR, SIRS, and SIRWS epidemiological models. The multiple time scale behavior is introduced to account for large differences between some of the…