• DocumentCode
    1908797
  • Title

    Cost-effectiveness analysis of vaccination and self-isolation in case of H1N1

  • Author

    Yarmand, Hamed ; Ivy, Julie S. ; Roberts, Stephen D. ; Bengtson, Mary W. ; Bengtson, Neal M.

  • Author_Institution
    Dept. of Ind. & Syst. Eng., North Carolina State Univ., Raleigh, NC, USA
  • fYear
    2010
  • fDate
    5-8 Dec. 2010
  • Firstpage
    2199
  • Lastpage
    2210
  • Abstract
    In this research, we have conducted a cost-effectiveness analysis to examine the relative importance of vaccination and self-isolation, with respect to the current H1N1 outbreak. We have developed a continuous-time simulation model for the spread of H1N1 which allows for three types of interventions: antiviral prophylaxis and treatment, vaccination, and self-isolation and mandatory quarantine. The optimization model consists of two decision variables: vaccination fraction and self-isolation fraction among infectives. By considering the relative marginal costs associated with each of these decision variables, we have a linear objective function representing the total relative cost for each control policy. We have also considered upper bound constraints for maximum number of individuals under treatment (which is related to surge capacity) and percentage of infected individuals (which determines the attack rate). We have used grid search to obtain insight into the model, find the feasible region, and conduct the cost-effectiveness analysis.
  • Keywords
    continuous time systems; costing; digital simulation; diseases; epidemics; health care; linear programming; patient treatment; search problems; H1N1 outbreak; H1N1 spread; antiviral prophylaxis; attack rate; continuous-time simulation model; control policy; cost-effectiveness analysis; decision variable; grid search; infected individuals; linear objective function; mandatory quarantine; marginal cost; optimization model; patient treatment; self-isolation fraction; surge capacity; vaccination fraction; Analytical models; Biological system modeling; Diseases; Influenza; Mathematical model; Vaccines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference (WSC), Proceedings of the 2010 Winter
  • Conference_Location
    Baltimore, MD
  • ISSN
    0891-7736
  • Print_ISBN
    978-1-4244-9866-6
  • Type

    conf

  • DOI
    10.1109/WSC.2010.5678918
  • Filename
    5678918