Skip to main content

Time to extinction of infectious diseases through age-dependent branching models

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Statistics ((LNSP,volume 197))

Abstract

This paper is concerned with a Sevast’yanov age-dependent branching process, describing outbreaks of an infectious disease with incubation period. The main goal was to define the optimal proportion of susceptible individuals that has to be vaccinated in order to eliminate the disease. To this end we study the properties of the time to extinction of an infection according to the proportion of immune individuals in the population. The results lead us to suggest a vaccination policy based on the mean of the infection survival time. Finally, we provide a simulation-based method to determine the optimal vaccination level, and as an illustration analyze the data of outbreaks of avian influenza spreading in Vietnam at the end of 2006.

Mathematics Subject Classification (2000): 60J80, 92D30

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Andersson, H. Britton, T.: Stochastic Epidemic Models and Their Statistical Analysis. Lecture Notes in Statistics 151. Springer-Verlag, New York (2000)

    Google Scholar 

  2. Ball, F., Donnelly, P.: Strong approximations for epidemic models. Stoch. Proc. Appl. 55, 1–21 (1995)

    Article  MATH  MathSciNet  Google Scholar 

  3. Brunner, H.: Collocation Methods for Volterra Integral and Related Functional Differential Equations. Cambridge University Press, Cambridge (2004)

    Book  Google Scholar 

  4. Daley, D.J., Gani, J.: Epidemic Modelling: An Introduction. Cambridge University Press, Cambridge (1999)

    Google Scholar 

  5. De Serres, G., Gay, N.J., Farrington, C.P.: Epidemiology of transmissible diseases after elimination. Am. J. Epidemiol. 151, 1039–1048 (2000)

    Google Scholar 

  6. Farrington, C., Grant, A.: The distribution of time to extinction in subcritical branching processes: applications to outbreaks of infectious disease. J. Appl. Probab., 36, 771–779 (1999)

    Article  MATH  MathSciNet  Google Scholar 

  7. Farrington, C.P., Kanaan, M.N., Gay, N.J.: Branching process models for surveillance of infectious diseases controlled by mass vaccination. Biostatistics, 4[s](2), 279–295 (2003)

    Article  MATH  Google Scholar 

  8. Gonzáalez, M., Martínez, R., Slavtchova-Bojkova, M.: Age-dependent branching processes as models of infectious diseases. C. R. Acad. Bulgare Sci. 62[s](5), 541–550 (2009)

    MathSciNet  Google Scholar 

  9. Guttorp, P.: Statistical Inference for Branching Processes. John Wiley and Sons, Inc., New York (1991)

    Google Scholar 

  10. IDSA: Avian influenza (bird flu): agricultural and wildlife considerations. Infectious Diseases Society of America. (2007) http://www.idsociety.org/pandemicinfluenza.htm.

  11. Isham, V.: Stochastic models for epidemics. In Davison, A.C., Dodge, Y., Wermuth, N. (eds.) Chapter 1, Celebrating Statistics Papers in Honour of Sir David Cox on His 80th Birthday. Oxford University Press, Oxford (2005)

    Google Scholar 

  12. Jagers, P.: Branching Processes with Biological Applications. John Wiley and Sons Inc., London (1975)

    Google Scholar 

  13. Johnson, R., Susarla, V., Van Ryzin, J.: Bayesian nonparametric estimation for age-dependent branching processes. Stoch. Proc. Appl. 9[s](3), 307-318 (1979)

    Article  MATH  Google Scholar 

  14. Martínez, R., Slavtchova-Bojkova, M.: Comparison between numerical and simulation methods for age-dependent branching models with immigration. Pliska Stud. Math. Bulgar. 17, 147–154 (2005)

    MathSciNet  Google Scholar 

  15. Mode, C.J., Sleemam, C.K.: Stochastic Processes in Epidemiology. World Scientific Publishing Company, Singapore (2000)

    Google Scholar 

  16. OIE: Report reference 1828/TY-DT. World Organization for Animal Health. (2007) http://www.oie.int.

  17. Pakes, A.: Biological applications of branching processes. In Shanbhag, D.N., Rao, C.R. (eds.) Chapter 18, Handbook of Statistics Vol. 21 Stochastic Processes: Modelling and Simulation, pp. 693–773, Elsevier Science B.V., Amsterdam (2003)

    Google Scholar 

  18. R Development Core Team: R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria (2009). http://www.R-project.org. ISBN 3-900051-07-0

  19. Sevast’yanov, B.: Branching Processes. Mir, Moscow (1971)

    Google Scholar 

Download references

Acknowledgements

M. González and R. Martínez was supported by the Ministerio de Ciencia e Innovación and the FEDER through the Plan Nacional de Investigación Científica, Desarrollo e Innovación Tecnológica, grants MTM2006-08891 and MTM2009-13248. M. Slavtchova-Bojkova was supported by the NFSI, grant VU-MI-105/2005, Bulgaria, and by an action of the program ECO-NET’2006 financed by the French government. She is also especially grateful to the University of Extremadura, Consejeróa de Infraestructura y Desarrollo Tecnológico de la Junta de Extremadura, and the FEDER (grant TEM07034) for the excellent research facilities during the period of preparation of this paper.

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Miguel González , Rodrigo Martínez or Maroussia Slavtchova-Bojkova .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

González, M., Martínez, R., Slavtchova-Bojkova, M. (2010). Time to extinction of infectious diseases through age-dependent branching models. In: González Velasco, M., Puerto, I., Martínez, R., Molina, M., Mota, M., Ramos, A. (eds) Workshop on Branching Processes and Their Applications. Lecture Notes in Statistics(), vol 197. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11156-3_17

Download citation

Publish with us

Policies and ethics