Automated Biosurveillance Data from England and Wales, 1991–2011

Enki, Doyo G.; Noufaily, Angela; Garthwaite, Paul H.; Andrews, Nick J.; Charlett, André; Lane, Chris; Farrington, C. Paddy

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Automated Biosurveillance Data from England and Wales, 1991–2011

Supporting Files Public Domain

Jan 2013
By Enki, Doyo G. ; Noufaily, Angela ; Garthwaite, Paul H. ; ...

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Alternative Title:

Emerg Infect Dis
Personal Author:

Enki, Doyo G. ; Noufaily, Angela ; Garthwaite, Paul H. ; Andrews, Nick J. ; Charlett, André ; Lane, Chris ; Farrington, C. Paddy
Description:

Outbreak detection systems for use with very large multiple surveillance databases must be suited both to the data available and to the requirements of full automation. To inform the development of more effective outbreak detection algorithms, we analyzed 20 years of data (1991-2011) from a large laboratory surveillance database used for outbreak detection in England and Wales. The data relate to 3,303 distinct types of infectious pathogens, with a frequency range spanning 6 orders of magnitude. Several hundred organism types were reported each week. We describe the diversity of seasonal patterns, trends, artifacts, and extra-Poisson variability to which an effective multiple laboratory-based outbreak detection system must adjust. We provide empirical information to guide the selection of simple statistical models for automated surveillance of multiple organisms, in the light of the key requirements of such outbreak detection systems, namely, robustness, flexibility, and sensitivity.
Subjects:

Algorithms Automation Bacteria Bacterial Infections Bacterial Load Biosurveillance Colony Count, Microbial Data Analysis Database Disease Outbreaks England Epidemiology Fungi Humans Incidence Infectious Disease Outbreaks Models, Statistical Mycoses Public Health Informatics Public Health Surveillance Reproducibility Of Results Research Sensitivity And Specificity Statistical Model Virus Diseases Viruses Wales
Source:

Emerg Infect Dis. 19(1):35-42.
Document Type:

Journal Article
Volume:

19
Issue:

1
Collection(s):

Emerging Infectious Diseases
Main Document Checksum:

urn:sha256:ce681128c4340ec2a10dedce9d4e8d54692dc1b8bbd945874f9221e4e2c72927
Download URL:

https://stacks.cdc.gov/view/cdc/18830/cdc_18830_DS1.pdf
File Type:

[PDF - 828.60 KB ]

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