1st International ICST Conference on Bio Inspired Models of Network, Information and Computing Systems

Research Article

Strategies for containing an influenza pandemic: the case of Italy

  • @INPROCEEDINGS{10.1145/1315843.1315857,
        author={Stefano Merler and Giuseppe Jurman and Cesare Furlanello and Caterina Rizzo and Antonino  Bella and Marco  Massari and Marta Luisa  Ciofi degli Atti},
        title={Strategies for containing an influenza pandemic: the case of Italy},
        proceedings={1st International ICST Conference on Bio Inspired Models of Network, Information and Computing Systems},
        publisher={ACM},
        proceedings_a={BIONETICS},
        year={2006},
        month={12},
        keywords={},
        doi={10.1145/1315843.1315857}
    }
    
  • Stefano Merler
    Giuseppe Jurman
    Cesare Furlanello
    Caterina Rizzo
    Antonino Bella
    Marco Massari
    Marta Luisa Ciofi degli Atti
    Year: 2006
    Strategies for containing an influenza pandemic: the case of Italy
    BIONETICS
    ACM
    DOI: 10.1145/1315843.1315857
Stefano Merler1,*, Giuseppe Jurman1,*, Cesare Furlanello1,*, Caterina Rizzo2,*, Antonino Bella3,*, Marco Massari3,*, Marta Luisa Ciofi degli Atti3,*
  • 1: ITC-irst, Trento, Italy
  • 2: Department of Pharmaco-Biology, University of Bari, Bari, Italy
  • 3: National Centre for Epidemiology, Surveillance and Health Promotion, National Institute of Health, Rome, Italy
*Contact email: merler@itc.it, jurman@itc.it, furlan@itc.it, caterina.rizzo@iss.it, antonino.bella@iss.it, marco.massari@iss.it, marta.ciofi@iss.it

Abstract

In this paper we introduce an individual based model for simulating the spread of an emerging influenza pandemic in Italy and testing the effectiveness of some containing strategies including vaccination, antiviral prophylaxis and quarantine measures to increase social distances. Our results show that while the probability of interrupting a large outbreak is negligible, a combination of the control measures can be effective in reducing the incidence of infection. In particular, in the worst case, an incidence reduction from about 50% to about 10% can be hopefully achieved.