Automated, laboratory-based system using the Internet for disease outbreak detection, the Netherlands

Marc-Alain Widdowson; Arnold Bosman; Edward van Straten; Mark Tinga; Sandra Chaves; Liesbeth van Eerden; Wilfred van Pelt

doi:10.3201/eid0909.020450

Automated, laboratory-based system using the Internet for disease outbreak detection, the Netherlands

Marc-Alain Widdowson, Arnold Bosman, Edward van Straten, Mark Tinga, Sandra Chaves, Liesbeth van Eerden, Wilfred van Pelt

Institute of Tropical Medicine

Research output: Contribution to journal › A1: Web of Science-article › peer-review

Abstract

Rapid detection of outbreaks is recognized as crucial for effective control measures and has particular relevance with the recently increased concern about bioterrorism. Automated analysis of electronically collected laboratory data can result in rapid detection of widespread outbreaks or outbreaks of pathogens with common signs and symptoms. In the Netherlands, an automated outbreak detection system for all types of pathogens has been developed within an existing electronic laboratory-based surveillance system called ISIS. Features include the use of a flexible algorithm for daily analysis of data and presentation of signals on the Internet for interpretation by health professionals. By 2006, the outbreak detection system will analyze laboratory-reported data on all pathogens and will cover 35% of the Dutch population.

Original language	English
Journal	Emerging Infectious Diseases
Volume	9
Issue number	9
Pages (from-to)	1046-1052
Number of pages	7
ISSN	1080-6040
DOIs	https://doi.org/10.3201/eid0909.020450
Publication status	Published - 2003

Keywords

Algorithms
Bacteria/classification
Clinical Laboratory Techniques/statistics & numerical data
Communicable Diseases, Emerging/diagnosis
Disease Outbreaks
Humans
Internet
Netherlands/epidemiology
Population Surveillance/methods

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10.3201/eid0909.020450

Cite this

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title = "Automated, laboratory-based system using the Internet for disease outbreak detection, the Netherlands",

abstract = "Rapid detection of outbreaks is recognized as crucial for effective control measures and has particular relevance with the recently increased concern about bioterrorism. Automated analysis of electronically collected laboratory data can result in rapid detection of widespread outbreaks or outbreaks of pathogens with common signs and symptoms. In the Netherlands, an automated outbreak detection system for all types of pathogens has been developed within an existing electronic laboratory-based surveillance system called ISIS. Features include the use of a flexible algorithm for daily analysis of data and presentation of signals on the Internet for interpretation by health professionals. By 2006, the outbreak detection system will analyze laboratory-reported data on all pathogens and will cover 35% of the Dutch population.",

keywords = "Algorithms, Bacteria/classification, Clinical Laboratory Techniques/statistics & numerical data, Communicable Diseases, Emerging/diagnosis, Disease Outbreaks, Humans, Internet, Netherlands/epidemiology, Population Surveillance/methods",

author = "Marc-Alain Widdowson and Arnold Bosman and {van Straten}, Edward and Mark Tinga and Sandra Chaves and {van Eerden}, Liesbeth and {van Pelt}, Wilfred",

year = "2003",

doi = "10.3201/eid0909.020450",

language = "English",

volume = "9",

pages = "1046--1052",

journal = "Emerging Infectious Diseases",

issn = "1080-6040",

publisher = "Centers for Disease Control and Prevention (CDC)",

number = "9",

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TY - JOUR

T1 - Automated, laboratory-based system using the Internet for disease outbreak detection, the Netherlands

AU - Widdowson, Marc-Alain

AU - Bosman, Arnold

AU - van Straten, Edward

AU - Tinga, Mark

AU - Chaves, Sandra

AU - van Eerden, Liesbeth

AU - van Pelt, Wilfred

PY - 2003

Y1 - 2003

N2 - Rapid detection of outbreaks is recognized as crucial for effective control measures and has particular relevance with the recently increased concern about bioterrorism. Automated analysis of electronically collected laboratory data can result in rapid detection of widespread outbreaks or outbreaks of pathogens with common signs and symptoms. In the Netherlands, an automated outbreak detection system for all types of pathogens has been developed within an existing electronic laboratory-based surveillance system called ISIS. Features include the use of a flexible algorithm for daily analysis of data and presentation of signals on the Internet for interpretation by health professionals. By 2006, the outbreak detection system will analyze laboratory-reported data on all pathogens and will cover 35% of the Dutch population.

AB - Rapid detection of outbreaks is recognized as crucial for effective control measures and has particular relevance with the recently increased concern about bioterrorism. Automated analysis of electronically collected laboratory data can result in rapid detection of widespread outbreaks or outbreaks of pathogens with common signs and symptoms. In the Netherlands, an automated outbreak detection system for all types of pathogens has been developed within an existing electronic laboratory-based surveillance system called ISIS. Features include the use of a flexible algorithm for daily analysis of data and presentation of signals on the Internet for interpretation by health professionals. By 2006, the outbreak detection system will analyze laboratory-reported data on all pathogens and will cover 35% of the Dutch population.

KW - Algorithms

KW - Bacteria/classification

KW - Clinical Laboratory Techniques/statistics & numerical data

KW - Communicable Diseases, Emerging/diagnosis

KW - Disease Outbreaks

KW - Humans

KW - Internet

KW - Netherlands/epidemiology

KW - Population Surveillance/methods

U2 - 10.3201/eid0909.020450

DO - 10.3201/eid0909.020450

M3 - A1: Web of Science-article

C2 - 14519238

SN - 1080-6040

VL - 9

SP - 1046

EP - 1052

JO - Emerging Infectious Diseases

JF - Emerging Infectious Diseases

IS - 9

ER -

Automated, laboratory-based system using the Internet for disease outbreak detection, the Netherlands

Abstract

Keywords

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