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Senescence can play an essential role in modelling and estimation of vector based epidemiological indicators: demographical approach

Author

Listed:
  • Vassili N. Novoseltsev

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Anatoli I. Michalski

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Janna A. Novoseltseva
  • Anatoli I. Yashin

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • James R. Carey
  • Thomas W. Scott

Abstract

In the paper basic epidemiological indicators, produced by an aging population of vectors, are calculated. In the study we follow two lines: calculations for demographically structured population and individual life-history approach. We discuss the advantages and limitations of these approaches and compare the results of our calculations with epidemiological indicators obtained for non-aging population of vectors.

Suggested Citation

  • Vassili N. Novoseltsev & Anatoli I. Michalski & Janna A. Novoseltseva & Anatoli I. Yashin & James R. Carey & Thomas W. Scott, 2007. "Senescence can play an essential role in modelling and estimation of vector based epidemiological indicators: demographical approach," MPIDR Working Papers WP-2007-027, Max Planck Institute for Demographic Research, Rostock, Germany.
    • Handle: RePEc:dem:wpaper:wp-2007-027
    DOI: 10.4054/MPIDR-WP-2007-027
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    References listed on IDEAS

    as
    1. James Vaupel & Kenneth Manton & Eric Stallard, 1979. "The impact of heterogeneity in individual frailty on the dynamics of mortality," Demography, Springer;Population Association of America (PAA), vol. 16(3), pages 439-454, August.
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    More about this item

    Keywords

    Gibraltar; age effect; disease control; gerontology;
    All these keywords.

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • Z0 - Other Special Topics - - General

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