Use of time-series analysis in infectious disease surveillance

Bulletin of the World Health Organization

Volumn 76, Issue 4, 1998, Pages 327-333

  Allard, R ^a,b,c  

^a Department of Public Health

^b MCGILL UNIVERSITY   (Canada)

^c MONTREAL GENERAL HOSPITAL   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

HEALTH SURVEY; INFECTION CONTROL; INFECTION PREVENTION; INFORMATION PROCESSING; REVIEW; STATISTICAL ANALYSIS; STATISTICAL MODEL;

COMMUNICABLE DISEASE CONTROL; DISEASE NOTIFICATION; FORECASTING; HUMANS; MODELS, STATISTICAL; POPULATION SURVEILLANCE; QUEBEC; TIME FACTORS;

EID: 0031753106     PISSN: 00429686     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Review

References (6)

1. Abraham B, Ledolter J. Statistical methods for forecasting. New York, John Wiley & Sons, 1983: 281-321.
2. Wilkinson L, Hill MA. Systat for DOS, Version 6. Advanced applications. Evanston, IL, 1994: 589-621.
3. Haddad S, Basha M, Rapose W. Statistical software for public health surveillance. A.P.C. Systems, Inc. and Centers for Disease Control, Washington, DC: 22-82.
4. Greenland S. Modeling and variable selection in epidemiologic analysis. American journal of public health, 1989, 79: 340-349.
5. Du JG, Li Y. The integer-valued autoregressive (INAR(p)) model. Journal of time series analysis, 1991, 12: 129-142.
6. Hillier FS, Lieberman GJ. Introduction to operations research. San Francisco, CA, Holden-Day, 1967: 402ff.