Assessing 3 Outbreak Detection Algorithms in an Electronic Syndromic Surveillance System in a Resource-Limited Setting-Reference-Cited by-同舟云学术

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Assessing 3 Outbreak Detection Algorithms in an Electronic Syndromic Surveillance System in a Resource-Limited Setting

Published:2020-09 Issue:9 Volume:26 Page:2196-2200
ISSN:1080-6040
Container-title:Emerging Infectious Diseases
language:
Short-container-title:Emerg. Infect. Dis.

Author:

Alsentzer Emily,Ballard Sarah-Blythe,Neyra Joan,Vera Delphis M.,Osorio Victor B.,Quispe Jose,Blazes David L.,Loayza Luis

Publisher

Centers for Disease Control and Prevention (CDC)

Subject

Infectious Diseases,Microbiology (medical),Epidemiology

Reference12 articles.

1. Overview of syndromic surveillance: what is syndromic surveillance?;Henning;MMWR Morb Mortal Wkly Rep,2004

2. The Biosurveillance Analytics Resource Directory (BARD): facilitating the use of epidemiological models for infectious disease surveillance.;Margevicius;PLoS One,2016

3. Blazes DL, Lewis SH. Disease surveillance: technological contributions to global health security. Boca Raton (Florida): CRC Press; 2016. p. 120–1.

4. Challenges in the implementation of an electronic surveillance system in a resource-limited setting: Alerta, in Peru.;Soto;BMC Proc,2008

5. Burkom H. Development, adaptation, and assessment of alerting algorithms for biosurveillance. Johns Hopkins APL Tech Dig. 2003;24:335–42 [cited 2020 Apr 4]. https://www.jhuapl.edu/content/techdigest/pdf/v24-n04/24-04-burkom.pdf

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