title: Population-based simulations of influenza pandemics: validity and significance for public health policy.
abstract: OBJECTIVE
  To examine the validity and usefulness of pandemic simulations aimed at informing practical decision-making in public health.
  
  
  METHODS
  We recruited a multidisciplinary group of nine experts to assess a case-study simulation of influenza transmission in a Swedish county. We used a non-statistical nominal group technique to generate evaluations of the plausibility, formal validity (verification) and predictive validity of the simulation. A health-effect assessment structure was used as a framework for data collection.
  
  
  RESULTS
  The unpredictability of social order during disasters was not adequately addressed by simulation methods; even minor disruptions of the social order may invalidate key infrastructural assumptions underpinning current pandemic simulation models. Further, a direct relationship between model flexibility and computation time was noted. Consequently, simulation methods cannot, in practice, support integrated modifications of microbiological, epidemiological and spatial submodels or handle multiple parallel scenarios.
  
  
  CONCLUSIONS
  The combination of incomplete surveillance data and simulation methods that neglect social dynamics limits the ability of national public health agencies to provide policy-makers and the general public with the critical and timely information needed during a pandemic.
authors: Department of Medical and Health Sciences, Linköpings universitet, Linköping, Sweden. tti@ida.liu.se
authors: Toomas
authors: T
authors: Timpka
authors: Henrik
authors: H
authors: Eriksson
authors: Elin A
authors: EA
authors: Gursky
authors: James M
authors: JM
authors: Nyce
authors: Magnus
authors: M
authors: Morin
authors: Johan
authors: J
authors: Jenvald
authors: Magnus
authors: M
authors: Strömgren
authors: Einar
authors: E
authors: Holm
authors: Joakim
authors: J
authors: Ekberg
mesh_terms: D000998:Antiviral Agents / Q000600:supply & distribution / Q000627:therapeutic use; D003198:Computer Simulation; D004196:Disease Outbreaks; D006285:Health Planning / Q000379:methods*; D006291:Health Policy; D006801:Humans; D007251:Influenza, Human / Q000188:drug therapy / Q000453:epidemiology*; D011634:Public Health / Q000379:methods*; D015203:Reproducibility of Results; D013548:Sweden / Q000453:epidemiology
chemical_list: D000998:Antiviral Agents