Sensitivity Analysis in Infectious Disease Control
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).
KeywordsInfectious Hepatitis Typhoid Fever Resource Allocation Model Infectious Disease Control Matrix Manipulation
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- Bailey, N.T.J. (1975). The Mathematical Theory of Infectious Diseases. London: Griffin.Google Scholar
- Bekessy, A. (1971). Remarks relevant to the paper: Epidemiological model of typhoid fever etc. (Internal WHO memorandum, 24/9/71).Google Scholar
- Brauer, F. and Nohel, J.A. (1969). Qualitative Theory of Ordinary Differential Equations. New York: Benjamin.Google Scholar
- Cruz, Jr., J.B. (Ed.) (1973). System Sensitivity Analysis. Stroudsburg, Pennsylvania: Dowden, Hutchinson & Ross.Google Scholar
- Mehra, R.K. and Lainiotis, D.G. (Eds.) (1976). System Identification: Advances and Case Studies. London: Academic Press.Google Scholar
- Mesarovic, M. and Pestel, E. (1975). Mankind at the Turning Point. London: Hutchinson.Google Scholar
- Tomovic, R. and Vukobratovic, M. (1972). General Sensitivity Theory, New York: American Elsevier.Google Scholar