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

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

Advanced Search

Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.

Search our Collections & Repository

Advanced Search
Custom Query

All these words:

For very narrow results

This exact word or phrase:

When looking for a specific result

Any of these words:

Best used for discovery & interchangable words

None of these words:

Recommended to be used in conjunction with other fields

Language:

Dates

Publication Date Range:

to

Document Data

Title:

Document Type:

Library

Collection:

Series:

People

Author:

Clear All

Query Builder

Query box

Clear All

For additional assistance using the Custom Query please check out our Help Page

i

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

Sep 2020
By Alsentzer, Emily ; Ballard, Sarah-Blythe ; Neyra, Joan ; ...
Source: Emerg Infect Dis. 26(9):2196-2200

[PDF-1023.09 KB]

English

Details Supporting Files You May Also Like

Details:

Alternative Title:

Emerg Infect Dis
Personal Author:

Alsentzer, Emily ; Ballard, Sarah-Blythe ; Neyra, Joan ; Vera, Delphis M. ; Osorio, Victor B. ; ... More +

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

We evaluated the performance of X-bar chart, exponentially weighted moving average, and C3 cumulative sums aberration detection algorithms for acute diarrheal disease syndromic surveillance at naval sites in Peru during 2007-2011. The 3 algorithms' detection sensitivity was 100%, specificity was 97%-99%, and positive predictive value was 27%-46%.
Subjects:

[+]

Acute Diarrheal Disease Assessing 3 Outbreak Detection Algorithms In An Electronic Syndromic Surveillance System In A Resource-Limited Setting Dispatch Enteric Infections Outbreak Detection Algorithms Resource-Limited Setting Syndromic Surveillance
Source:

Emerg Infect Dis. 26(9):2196-2200
Pubmed ID:

32818406
Pubmed Central ID:

PMC7454051
Document Type:

Journal Article
Volume:

26
Issue:

9
Collection(s):

Emerging Infectious Diseases
Main Document Checksum:

[+]

urn:sha256:e5397e5d6215dd9b3114bc8fe4bc602f1e5854681f966b6734c334d5d618d658
Download URL:

https://stacks.cdc.gov/view/cdc/92979/cdc_92979_DS1.pdf
File Type:

	19-1315-F1.gif	gif
	19-1315-F1.jpg	jpeg
	19-1315-F2.gif	gif
	19-1315-F2.jpg	jpeg
	19-1315-Techapp-s1.pdf	pdf
	19-1315.nxml	xml

More +