Abstract
CERTAIN infectious diseases are supposed to have relatively constant incubation periods with short intervals of high infectivity. Greenwood1 studied an idealized model, having a fixed incubation period and point-infectivity. He showed that a single primary case in a small family group of susceptibles would lead to a chain of binomial distributions of new cases. With measles, the observed distribution of the total size of family epidemics agreed closely with that predicted by the theory. Later, Wilson et al. 2, analysing new data with respect to the actual links of each chain, obtained only poor fitting of theory to observation. Following a hint of Greenwood's3, Bailey4 showed that satisfactory agreement could be restored by introducing a suitable distribution for the chance of infection in different families.
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References
Greenwood, M., J. Hyg. Camb., 31, 336 (1931).
Wilson, E. B., Bennett, C., Allen, M., and Worcester, J., Proc. Amer. Phil. Soc., 80, 357 (1939).
Greenwood, M., Biometrika, 36, 1 (1949).
Bailey, N. T. J., Biometrika, 40, 279 (1953).
Hope Simpson, R. E., Lancet, ii, 549 (1952), and private communication.
Hope Simpson, R. E., Lancet, ii, 755 (1948).
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BAILEY, N. A Statistical Method of estimating the Periods of Incubation and Infection of an Infectious Disease. Nature 174, 139–140 (1954). https://doi.org/10.1038/174139a0
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DOI: https://doi.org/10.1038/174139a0
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