• DocumentCode
    191025
  • Title

    EpiSpec: A formal specification language for parameterized agent-based models against epidemiological ground truth

  • Author

    Hussain, Faheem ; Ramanathan, Arvind ; Pullum, Laura L. ; Jha, Sumit Kumar

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Univ. of Central Florida, Orlando, FL, USA
  • fYear
    2014
  • fDate
    2-4 June 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Building complex computational models of the spread of epidemics is a problem that has seen renewed interest in recent years. Such models are being used for understanding real-time disease evolution prediction and are also proving useful in the prevention, monitoring and control of contagious diseases. There is a pressing need to ensure reliability of epidemiological models since they are widely used in safety-critical applications. In this paper, we present a new spatio-temporal specification language, EpiSpec, for describing detailed properties of agent-based computational epidemiological models. We describe the formal syntax of EpiSpec and demonstrate its use by describing various spatio-temporal properties related to disease evolution, and propose the use of statistical model checking as an algorithmic technique for verification and validation of large computational epidemiological models.
  • Keywords
    computational linguistics; diseases; epidemics; evolution (biological); formal languages; medical computing; spatiotemporal phenomena; statistics; EpiSpec; agent-based computational epidemiological models; algorithmic technique; complex computational models; contagious disease control; contagious disease monitoring; contagious disease prevention; epidemiological ground truth; formal specification language; formal syntax; parameterized agent-based models; real-time disease evolution prediction; safety-critical applications; spatiotemporal properties; spatiotemporal specification language; statistical model; Analytical models; Biological system modeling; Computational modeling; Diseases; Model checking; Predictive models; Probabilistic logic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Advances in Bio and Medical Sciences (ICCABS), 2014 IEEE 4th International Conference on
  • Conference_Location
    Miami, FL
  • Print_ISBN
    978-1-4799-5786-6
  • Type

    conf

  • DOI
    10.1109/ICCABS.2014.6863924
  • Filename
    6863924