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Factors associated with social contacts in four communities during the 2007–2008 influenza season

  • F. DeSTEFANO (a1) (a2), M. HABER (a3), D. CURRIVAN (a4), T. FARRIS (a4), B. BURRUS (a4), B. STONE-WIGGINS (a4), A. McCALLA (a4), H. GULED (a2), H. SHIH (a3), P. EDELSON (a1) and S. WETTERHALL (a2)...

Mathematical models of influenza pandemics are sensitive to changes in contact rates between individuals. We conducted population-based telephone surveys in four North Carolina counties to determine the number of social interactions between individuals during the 2007–2008 influenza season. Influenza activity was monitored through sentinel medical practices. Among 3845 adults, the number of social contacts varied with age, was lower on weekends than on weekdays, and further decreased during school holiday periods. Adults with influenza-like illnesses had fewer social contacts. Adults' contacts in the community setting increased during periods of peak influenza activity. Among 290 children, potential contacts (i.e. other people in the same location) were lowest among preschool-age children and decreased on weekends and during school holidays. In adjusted analyses, children's potential social contacts did not change during periods of peak influenza activity. These results should be useful for modelling influenza epidemics and pandemics and in planning mitigation and response strategies.

Corresponding author
*Author for correspondence: F. DeStefano, M.D., M.P.H., Immunization Safety Office, MS D-26, Centers for Disease Control and Prevention, Atlanta, GA 30333, USA. (Email:
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1.TC Germann , Mitigation strategies for pandemic influenza in the United States. Proceedings of the National Academy of Sciences USA 2006; 103: 59355940.

3.MJ Haber , Effectiveness of interventions to reduce contact rates during a simulated influenza pandemic. Emerging Infectious Diseases 2007; 13: 581589.

5.WJ Edmunds , CJ O'Callaghan , DJ Nokes . Who mixes with whom? A method to determine the contact patterns of adults that may lead to the spread of airborne infections. Proceedings of the Royal Society of London, Series B 1997; 264: 949957.

8.J Wallinga , P Teunis , M Kretzschmar . Using data on social contacts to estimate age-specific transmission parameters for respiratory-spread infectious agents. American Journal of Epidemiology 2006; 164: 936944.

9.J Mossong , Social contacts and mixing patterns relevant to the spread of infectious diseases. PLoS Medicine 2008; 5: 381391.

10.NM Ferguson , Strategies for mitigating an influenza pandemic. Nature 2006; 442: 448452.

11.ME Halloran . Invited Commentary: Challenges of using contact data to understand acute respiratory disease transmission. American Journal of Epidemiology 2006; 164: 945946.

12.S Cauchemez , Estimating the impact of school closure on influenza transmission from sentinel data. Nature 2008; 452: 750755.

14.CDC. 2007–08 U.S. Influenza season summary ( Accessed 25 June 2009.

15.M Kretzschmar , RT Mikolajczyk . Contact porofiles in eight European countries and implications for modeling the spread of airborne infectious diseases. PLoS ONE 2009; 4: e5931.

16.AC Hurt , Performance of six influenza rapid tests in detecting human influenza in clinical specimens. Journal of Clinical Virology 2007; 39: 132135.

17.TM Uyeki , Low sensitivity of rapid diagnostic test for influenza. Clinical Infectious Diseases 2009; 48: e89e92.

18.LM Glass , RJ Glass . Social contact networks for the spread of pandemic influenza in children and teenagers. BMC Public Health 2008; 8: 61.

19.N Hens , Estimating the impact of school closure on social mixing behaviour and the transmission of close contact infections in eight European countries. BMC Infectious Diseases 2009; 9: 187.

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Epidemiology & Infection
  • ISSN: 0950-2688
  • EISSN: 1469-4409
  • URL: /core/journals/epidemiology-and-infection
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