Abstract
The development of noncommunicable diseases in aging populations is highly influenced by risk factors. Individuals react differently to the risk factors and therefore the population (cohort) becomes non-homogeneous. Several long-term indicators might be considered as functionals of risk factors. An example is the known fact that the number and distribution in time of child births determine the probability for a woman to get breast cancer at a given age.
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References
Eimeren van, W., Engelbrecht, R. and Flagle, Ch. D. (eds): Third International Conference on System Science in Health Care. Springer-Verlag, Berlin Heidelberg New York Tokyo 1984
Petrovski, A. M.: Mathematical Modelling of the Dynamics of Health Indicates. In: Eimeren van, W., Engelbrecht, R. and Flagle, Ch. D. (eds): System Science in Health Care. Springer-Verlag, Berlin Heidelberg New York Tokyo 1984, pp. 1058–62
Petrovski, A. M., Vaupel, J. W., Yashin, A. I.: Models of Risk Group Dynamics. In: Eimeren van, W., Engelbrecht, R. and Flagle, Ch. D. (eds): System Science in Health Care. Springer-Verlag, Berlin Heidelberg New York Tokyo 1984, pp. 936–7
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© 1987 Springer-Verlag Berlin Heidelberg
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Petrovski, A. (1987). Some Remarks on the Applied Theory of Heterogeneous Populations. In: Schwefel, D. (eds) Indicators and Trends in Health and Health Care. Health Systems Research. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-71537-2_8
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DOI: https://doi.org/10.1007/978-3-642-71537-2_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-16998-7
Online ISBN: 978-3-642-71537-2
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