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Sensitivity Analysis in Infectious Disease Control

  • Conference paper
Medical Informatics Berlin 1979

Part of the book series: Lecture Notes in Medical Informatics ((LNMED,volume 5))

Abstract

The use of comparatively simple multi-state, multi-parameter models has been developed in recent years both to promote epidemiological understanding and to guide public health control of a variety of infectious diseases. Applications have been made to a wide range of bacterial diseases like tuberculosis, typhoid fever, cholera, tetanus, leprosy, etc.; virus diseases like measles, influenza, infectious hepatitis, and poliomyelitis; venereal diseases, especially gonorrhoea; and parasitic diseases such as malaria and schistosomiasis (see Bailey, 1975).

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References

  • Bailey, N.T.J. (1975). The Mathematical Theory of Infectious Diseases. London: Griffin.

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  • Bekessy, A. (1971). Remarks relevant to the paper: Epidemiological model of typhoid fever etc. (Internal WHO memorandum, 24/9/71).

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  • Brauer, F. and Nohel, J.A. (1969). Qualitative Theory of Ordinary Differential Equations. New York: Benjamin.

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  • Cruz, Jr., J.B. (Ed.) (1973). System Sensitivity Analysis. Stroudsburg, Pennsylvania: Dowden, Hutchinson & Ross.

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  • Mehra, R.K. and Lainiotis, D.G. (Eds.) (1976). System Identification: Advances and Case Studies. London: Academic Press.

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  • Mesarovic, M. and Pestel, E. (1975). Mankind at the Turning Point. London: Hutchinson.

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  • Tomovic, R. and Vukobratovic, M. (1972). General Sensitivity Theory, New York: American Elsevier.

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Author information

Authors and Affiliations

  1. Unit of Health Statistical Methodology, WHO, Geneva, Switzerland

    Norman T. J. Bailey & J. L. Duppenthaler

Authors
  1. Norman T. J. Bailey
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  2. J. L. Duppenthaler
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Editor information

Editors and Affiliations

  1. North East Thames Regional Health Authority, 40, Eastbourne Terrace, London, W2 3QR, Great Britain

    B. Barber

  2. Département de Biophysique et de Biomathématiques, Université Paris VI, 91, boulevard de l’Hôpital, Paris 13ème, France

    F. Grémy

  3. Institut für Medizinische Informationsverarbeitung, Statistik und Biomathematik, Ludwig-Maximilian-Universität, Marchioninistr. 15, D-8000, München 70, Deutschland

    K. Ãœberla

  4. Institut für Dokumentation, Information und Statistik, Deutsches Krebsforschungszentrum, Im Neuenheimer Feld 280, D-6900, Heidelberg 1, Deutschland

    G. Wagner

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© 1979 Online Conferences Ltd., Uxbridge, England

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Bailey, N.T.J., Duppenthaler, J.L. (1979). Sensitivity Analysis in Infectious Disease Control. In: Barber, B., Grémy, F., Überla, K., Wagner, G. (eds) Medical Informatics Berlin 1979. Lecture Notes in Medical Informatics, vol 5. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-93120-8_1

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  • DOI: https://doi.org/10.1007/978-3-642-93120-8_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-09549-1

  • Online ISBN: 978-3-642-93120-8

  • eBook Packages: Springer Book Archive

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