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).
KeywordsHepatitis Covariance Influenza Tuberculosis Malaria
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