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Reproduction Numbers and Critical Immunity Levels for Epidemics in a Community of Households

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Part of the book series: Lecture Notes in Statistics ((LNS,volume 114))

Abstract

Epidemic threshold parameters, also called reproduction numbers, play a central role in computing the vaccination coverage required to prevent epidemics. It is possible to define several different reproduction numbers for infectives in a community of households. To illustrate this we compute four distinct reproduction numbers for infectives for a community consisting of a large number of households of size three, using assumptions similar to the so-called general epidemic model. It is found that when individuals are selected independently for immunization the proportion that needs to be immunized so as to prevent epidemics is vI* = 1 – 1/R30, where R 30 is one of these reproduction numbers. When a proportion of households is selected and every member of each selected household is immunized, then the proportion of households that needs to be immunized is vH* = 1 – 1/R 40where R 40is another of the basic reproduction numbers. The result for vH* applies for an arbitrary household distribution and a disease with an arbitrary infectivity function. However, the result for vI* is more complicated for a community containing larger households.

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References

  1. N. T.J. Bailey. The Mathematical Theory of Infectious Diseases and its Applications Griffin, London (1975).

    MATH  Google Scholar 

  2. F. Ball, D. Mollison and G. Scalia-Tomba. Epidemics with two levels of mixing. Submitted (1995).

    Google Scholar 

  3. R. Bartoszyríski. On a certain model of an epidemic. Applicationes Mathematicae XIII(2):139–151 (1972).

    Google Scholar 

  4. N. G. Becker. The use of mathematical models in determining vaccination policies. Bull Int Statist Inst 46, Book 1, 478–490 (1975)

    Google Scholar 

  5. N. G. Becker. Analysis of Infectious Disease Data. Chapman and Hall, London (1989).

    Google Scholar 

  6. N. G. Becker and K. Dietz. The effect of the household distribution on transmission and control of highly infectious diseases. Mathematical Biosciences 127, 207–219 (1995).

    Article  MATH  Google Scholar 

  7. N. G. Becker and R. Hall. Immunisation levels for preventing epidemics in a community of households made up of individuals of different types. Mathematical Biosciences in press.

    Google Scholar 

  8. K. Dietz. Transmission and control of arboviruses. In: D. Ludwig and K. L. Cooke (eds) Proceedings of the SIMS Conference on Epidemiology Society for Industrial and Applied Mathematics, 122–131 (1975).

    Google Scholar 

  9. C. E. G. Smith. Factors in the transmission of virus infections from animals to man. Scientific Basis of Medicine.Ann.Rev.125–150 (1964).

    Google Scholar 

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© 1996 Springer Science+Business Media New York

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Becker, N.G., Dietz, K. (1996). Reproduction Numbers and Critical Immunity Levels for Epidemics in a Community of Households. In: Heyde, C.C., Prohorov, Y.V., Pyke, R., Rachev, S.T. (eds) Athens Conference on Applied Probability and Time Series Analysis. Lecture Notes in Statistics, vol 114. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-0749-8_19

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  • DOI: https://doi.org/10.1007/978-1-4612-0749-8_19

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-94788-4

  • Online ISBN: 978-1-4612-0749-8

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