collaborators

6 papers

q-bio.PE2026

PesTwin: A modular agent-based framework for pest and vector population control

Andrea De Antoni, Giovanni Iacca, Andrea Pugliese +4

Species-specific pest and vector control strategies, including the sterile insect technique, Wolbachia-based interventions, and genetic control technologies, offer powerful alterna…

q-bio.QM2026

PesTwin: a biology-informed Digital Twin for enabling precision farming

Andrea De Antoni, Matteo Rucco, Alberto Maria Cattaneo +6

In a context of growing agricultural demand and new challenges related to food security and accessibility, boosting agricultural productivity is more important than ever. Reducing…

q-bio.PE2026

A model for mosquito-borne epidemic outbreaks with information-dependent protective behaviour

Simone De Reggi, Andrea Pugliese, Mattia Sensi +1

We investigate a model for a mosquito-borne epidemic in which human hosts may adopt protective behaviour against vector bites in response to information on both past and current di…

physics.soc-ph2026

To trace or not to trace: analytical insights from network-based contact-tracing models

Giulia de Meijere, Andrea Pugliese, Gerardo Iñiguez +2

Contact tracing is one of the most important control measures deployed during epidemics. Relying on the identification of contacts of known infected individuals, it necessitates a…

q-bio.PE2026

SEIR models with host heterogeneity: theoretical aspects and applications to seasonal influenza dynamics

Tamás Tekeli, Andrea Pugliese, Cinzia Soresina

Population heterogeneity is a key factor in epidemic dynamics, influencing both transmission and final epidemic size. While heterogeneity is often modelled through age structure, s…

q-bio.PE2025

On the effectiveness of odor-baited traps on mosquito-borne infections

Haonan Zhong, Marina Lima, Andrea Pugliese +3

The host's odor serves as a critical biological tracking signal in the host-seeking process of mosquitoes, and its heterogeneity significantly influences the transmission of mosqui…