International Journal of Infectious Diseases
Volume 14, Issue 9 , Pages e792-e795, September 2010

Same influenza vaccination strategies but different outcomes across US cities?

  • Claudia Taylor

      Affiliations

    • University of Pittsburgh, Department of Economics, Pennsylvania, USA
  • ,
  • Achla Marathe

      Affiliations

    • Virginia Bioinformatics Institute, Virginia Tech, 1880 Pratt Drive, Bldg XV, Blacksburg, VA 24061, USA
    • Corresponding Author InformationCorresponding author.
  • ,
  • Richard Beckman

      Affiliations

    • Virginia Bioinformatics Institute, Virginia Tech, 1880 Pratt Drive, Bldg XV, Blacksburg, VA 24061, USA

Received 5 November 2009; accepted 27 February 2010. published online 21 July 2010.

Corresponding Editor: William Cameron, Ottawa, Canada

Summary 

Objectives

This research aimed to determine if the same influenza vaccination strategies would have the same level of effectiveness when applied to two different US metropolitan areas, Miami and Seattle, where the composition of the population differs significantly in age distribution and household size distribution.

Methods

We used an individual-based network modeling approach in which every pair of individuals connected in the social network is represented. Factorial design experiments were performed to estimate the impact of age-targeted vaccination strategies to control the transmission of a ‘flu-like’ virus.

Results

The findings showed that: (1) age composition of the city matters in determining the effectiveness of a vaccination strategy and (2) vaccinating school children outperforms every other strategy.

Conclusions

The most significant policy implication of this research is that there may not be a universal vaccination strategy that works across all cities with the same level of effectiveness. Secondly, given the important role of school children in the transmission of influenza, the US Government should consider the vaccination of school children a top priority.

Keywords: Influenza, Vaccination, Individual-based model, Miami, Seattle

 

PII: S1201-9712(10)02405-7

doi:10.1016/j.ijid.2010.02.2267

International Journal of Infectious Diseases
Volume 14, Issue 9 , Pages e792-e795, September 2010