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MODELING AND CONTROL OF EPIDEMIC DISEASES ON COMPLEX NETWORKS

Incorporating human behavior into epidemic models

We wrote a survey paper on analysis and control of epidemics on complex networks: 

We developed a framework for modeling human behavior in epidemic models using a co-evolutionary model, and we studied it:

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We developed and studied a realistic model of human decision making concerning vaccination

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We developed a model for sexually transmitted disease, incorporating human behavior, and we studied it:

 

We developed thoeretical tools to study different methods to control epidemic processes, by means of NPIs and vaccination, usinf different control-theoretic tools, including nonlinear MPC and quantum computing:

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We studied stocastic epidemic models on networks:


​We expanded the theory of activity-driven networks by proposing a continuous-time formulation. Then, we added new analytically-trectable features to improve the modeling of human behavior:

 

We developed and studied multivirus models, in which multiple competing variants or strains spread in the same population:​

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We developed and studied a mathematical model for the spread of vector-borne diseases:

  • Zino L., Casu A., and Rizzo A., A Human-Vector Susceptible--Infected--Susceptible Model for Analyzing and Controlling the Spread of Vector-Borne Diseases. Accepted for presentation at the 23rd European Control Conference, 2025

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