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Volume 12, Number 11—November 2006
Research

Targeted Social Distancing Designs for Pandemic Influenza

Robert J. Glass*Comments to Author , Laura M. Glass†, Walter E. Beyeler*, and H. Jason Min*
Author affiliations: *Sandia National Laboratories, Albuquerque, New Mexico, USA; †Albuquerque Public High School, Albuquerque, New Mexico, USA

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Figure 2

Natural history of influenza in our model. Duration of each state for a given person is chosen from an exponential distribution. State relative infectivity (IR) and mean state duration were chosen to reflect the infectivity variation of Ferguson et al. (10,11) (see Figure 3). Transition probabilities between presymptomatic and postsymptomatic states are also noted. For symptomatic persons who stay at home, link frequencies outside the household are reduced by 90%.

Figure 2. Natural history of influenza in our model. Duration of each state for a given person is chosen from an exponential distribution. State relative infectivity (IR) and mean state duration were chosen to reflect the infectivity variation of Ferguson et al. (10,11) (see Figure 3). Transition probabilities between presymptomatic and postsymptomatic states are also noted. For symptomatic persons who stay at home, link frequencies outside the household are reduced by 90%.

Main Article

References
  1. World Health Organization. Avian influenza frequently asked questions. Geneva: The Organization; 2005.
  2. Check  E. Avian flu special: is this our best shot? Nature. 2005;435:4046. DOIPubMedGoogle Scholar
  3. US Homeland Security Council. National strategy for pandemic influenza: implementation plan. Washington: US Department of Homeland Security; 2006.
  4. US Department of Health and Human Services. Pandemic influenza plan HHS. Washington: The Department; 2005.
  5. Glass  RJ, Glass  LM, Beyeler  WE. Local mitigation strategies for pandemic influenza: prepared for the Department of Homeland Security under the National Infrastructure Simulation and Analysis Center. Report no. SAND2005–7955J. Washington: Department of Homeland Security; 2005.
  6. Watts  DJ, Strogatz  SH. Collective dynamics of 'small-world' networks. Nature. 1998;393:4402. DOIPubMedGoogle Scholar
  7. Palla  G, Deranyi  I, Farkas  I, Vicsek  T. Uncovering the overlapping community structure of complex networks in nature and society. Nature. 2005;435:8148. DOIPubMedGoogle Scholar
  8. Newman  ME, Park  J. Why social networks are different from other types of networks. Phys Rev E Stat Nonlin Soft Matter Phys. 2003;68:036122. DOIPubMedGoogle Scholar
  9. US Census Bureau. United States Census 2000. Washington: The Bureau; 2000.
  10. Ferguson  NM, Cummings  DA, Fraser  C, Cajka  JC, Cooley  PC, Burke  DS. Strategies for mitigating an influenza pandemic. Nature. 2006;442:44852. DOIPubMedGoogle Scholar
  11. Ferguson  NM, Cummings  DA, Cauchemez  S, Fraser  C, Riley  S, Meeyai  A, Strategies for containing an emerging influenza pandemic in Southeast Asia. Nature. 2005;437:20914. DOIPubMedGoogle Scholar
  12. Longini  IM, Halloran  ME, Nizam  A, Yang  Y. Containing pandemic influenza with antiviral agents. Am J Epidemiol. 2004;159:62333. DOIPubMedGoogle Scholar
  13. Longini  IM, Nizam  A, Xu  SF, Ungchusak  K, Hanshaoworakul  W, Cummings  DA, Containing pandemic influenza at the source. Science. 2005;309:10837. DOIPubMedGoogle Scholar
  14. Germann  TC, Kadau  K, Longini  IM, Macken  CA. Mitigation strategies for pandemic influenza in the United States. Proc Natl Acad Sci U S A. 2006;103:593540. DOIPubMedGoogle Scholar
  15. Hayden  FG, Fritz  R, Lobo  MC, Alvord  W, Strober  W, Straus  SE. Local and systemic cytokine responses during experimental human influenza A virus infection: relation to symptom formation and host defense. J Clin Invest. 1998;101:6439. DOIPubMedGoogle Scholar
  16. Cauchemez  S, Carrat  F, Viboud  C, Valleron  AJ, Boelle  PY. Bayesian MCMC approach to study transmission of influenza: application to household longitudinal data. Stat Med. 2004;23:346987. DOIPubMedGoogle Scholar
  17. Viboud  C, Boelle  PY, Cauchemez  S, Lavenu  A, Valleron  AJ, Flahault  A, Risk factors of influenza transmission in households. Br J Gen Pract. 2004;54:6849.PubMedGoogle Scholar
  18. Principi  N, Esposito  S, Gasparini  R, Marchisio  P, Crovari  P; Flu-Flu Study Group. Burden of influenza in healthy children and their households. Arch Dis Child. 2004;89:10027. DOIPubMedGoogle Scholar
  19. Chin  TD, Foley  JF, Doto  IL, Gravelle  CR, Weston  J. Morbidity and mortality characteristics of Asian strain influenza. Public Health Rep. 1960;75:14858. DOIPubMedGoogle Scholar
  20. Davis  LE, Caldwell  GG, Lynch  RE, Bailey  RE, Chin  TD. Hong-Kong Influenza: the epidemiologic features of a high school family study analyzed and compared with a similar study during the 1957 Asian influenza epidemic. Am J Epidemiol. 1970;92:2407.PubMedGoogle Scholar
  21. Glezen  WP. Emerging infections: pandemic influenza. Epidemiol Rev. 1996;18:6476.PubMedGoogle Scholar
  22. Centers for Disease Control and Prevention. Death rates for selected causes by 10–year age groups, race, and sex: death registration states. Tables 1900–39. Atlanta: The Centers; 2005.

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