A statistical algorithm for the early detection of outbreaks of infectious disease

Journal of the Royal Statistical Society. Series A: Statistics in Society

Volumn 159, Issue 3, 1996, Pages 547-563

  Farrington, C P ^a   Andrews, N J ^a   Beale, A D ^a   Catchpole, M A ^a  

^a PUBLIC HEALTH ENGLAND   (United Kingdom)

Author keywords

Clustering; Dispersion; Epidemiology; Exceedance; Glim; Outbreak; Regression; Reweighting; Seasonality; Threshold; Trend

Indexed keywords

EID: 0039471962     PISSN: 09641998     EISSN: None     Source Type: Journal    
DOI: 10.2307/2983331     Document Type: Article

References (19)

1. Chen, R., Connelly, R. R. and Mantel, N. (1993) Analysing post-alarm data in a monitoring system in order to accept or reject the alarm. Statist. Med., 12, 1807-1812.
2. Davison, A. C. and Snell, E. J. (1991) Residuals and diagnostics. In Statistical Theory and Modelling (eds D. V. Hinkley, N. Reid and E. J. Snell). London: Chapman and Hall.
3. Ederer, F., Myers, M. H. and Mantel, N. (1964) A statistical problem in space and time: do leukemia cases come in clusters? Biometrics, 20, 626-638.
4. Farrington, C. P. and Beale, A. D. (1993) Computer aided detection of temporal clusters of organisms reported to CDSC. Communcbl. Dis. Rep. Rev., 3, R78-R82.
5. Francis, B., Green, M. and Payne, C. (1993) The GLIM System: Release 4 Manual. Oxford: Oxford University Press.
6. Kafadar, K. and Stroup, D. F. (1992) Analysis of aberrations in public health surveillance data: estimating variances on correlated samples. Statist. Med., 11, 1551-1568.
7. Langmuir, A. D. (1963) The surveillance of communicable diseases of national importance. New Engl. J. Med., 268, 182-192.
8. Naus, J. I. (1965) The distribution of the size of the maximum cluster of points on a line. J. Am. Statist. Ass., 60, 532-538.
9. Nobre, F. F. and Stroup, D. F. (1994) A monitoring system to detect changes in public health surveillance data. Int. J. Epidem., 23, 408-418.
10. Page, E. S. (1954) Continuous inspection schemes. Biometrika, 41, 100-115.
11. Parker, R. A. (1989) Analysis of surveillance data with Poisson regression: a case study. Statist. Med., 8, 285-294.
12. Roger, J. H. (1977) A significance test for cyclic trends in incidence data. Biometrika, 64, 152-155.
13. Serfling, R. E. (1963) Methods for current statistical analysis of excess pneumonia-influenza deaths. Publ. Hlth Rep., 78, 494-506.
14. Stroup, D. F., Williamson, G. D. and Herndon, J. L. (1989) Detection of aberrations in the occurrence of notifiable diseases surveillance data. Statist. Med., 8, 323-329.
15. Tango, T. (1984) The detection of disease clustering in time. Biometrics, 40, 15-26.
16. Tillett, H. E. and Spencer, I.-L. (1982) Influenza surveillance in England and Wales using routine statistics. J. Hyg. Camb., 88, 83-94.
17. Wallenstein, S. (1980) A test for detection of clustering over time. Am. J. Epidem., 111, 367-372.
18. Watier, L. and Richardson, S. (1991) A time series construction of an alert threshold with application to S. bovismorbificans in France. Statist. Med., 10, 1493-1509.
19. Weatherall, J. A. C. and Haskey, J. C. (1976) Surveillance of malformations. Br. Med. Bull., 32, 39-44.