Assessing 3 Outbreak Detection Algorithms in an Electronic Syndromic Surveillance System in a Resource-Limited Setting
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%...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
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Centers for Disease Control and Prevention
2020-09-01
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Series: | Emerging Infectious Diseases |
Subjects: | |
Online Access: | https://wwwnc.cdc.gov/eid/article/26/9/19-1315_article |
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author | Emily Alsentzer Sarah-Blythe Ballard Joan Neyra Delphis M. Vera Victor B. Osorio Jose Quispe David L. Blazes Luis Loayza |
author_facet | Emily Alsentzer Sarah-Blythe Ballard Joan Neyra Delphis M. Vera Victor B. Osorio Jose Quispe David L. Blazes Luis Loayza |
author_sort | Emily Alsentzer |
collection | DOAJ |
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%. |
first_indexed | 2024-12-13T14:22:16Z |
format | Article |
id | doaj.art-a63bafe512254ea083727f89cc4e572a |
institution | Directory Open Access Journal |
issn | 1080-6040 1080-6059 |
language | English |
last_indexed | 2024-12-13T14:22:16Z |
publishDate | 2020-09-01 |
publisher | Centers for Disease Control and Prevention |
record_format | Article |
series | Emerging Infectious Diseases |
spelling | doaj.art-a63bafe512254ea083727f89cc4e572a2022-12-21T23:42:04ZengCenters for Disease Control and PreventionEmerging Infectious Diseases1080-60401080-60592020-09-012692196220010.3201/eid2609.191315Assessing 3 Outbreak Detection Algorithms in an Electronic Syndromic Surveillance System in a Resource-Limited SettingEmily AlsentzerSarah-Blythe BallardJoan NeyraDelphis M. VeraVictor B. OsorioJose QuispeDavid L. BlazesLuis LoayzaWe 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%.https://wwwnc.cdc.gov/eid/article/26/9/19-1315_articleoutbreak detection algorithmssyndromic surveillanceacute diarrheal diseaseresource-limited settingenteric infections |
spellingShingle | Emily Alsentzer Sarah-Blythe Ballard Joan Neyra Delphis M. Vera Victor B. Osorio Jose Quispe David L. Blazes Luis Loayza Assessing 3 Outbreak Detection Algorithms in an Electronic Syndromic Surveillance System in a Resource-Limited Setting Emerging Infectious Diseases outbreak detection algorithms syndromic surveillance acute diarrheal disease resource-limited setting enteric infections |
title | Assessing 3 Outbreak Detection Algorithms in an Electronic Syndromic Surveillance System in a Resource-Limited Setting |
title_full | Assessing 3 Outbreak Detection Algorithms in an Electronic Syndromic Surveillance System in a Resource-Limited Setting |
title_fullStr | Assessing 3 Outbreak Detection Algorithms in an Electronic Syndromic Surveillance System in a Resource-Limited Setting |
title_full_unstemmed | Assessing 3 Outbreak Detection Algorithms in an Electronic Syndromic Surveillance System in a Resource-Limited Setting |
title_short | Assessing 3 Outbreak Detection Algorithms in an Electronic Syndromic Surveillance System in a Resource-Limited Setting |
title_sort | assessing 3 outbreak detection algorithms in an electronic syndromic surveillance system in a resource limited setting |
topic | outbreak detection algorithms syndromic surveillance acute diarrheal disease resource-limited setting enteric infections |
url | https://wwwnc.cdc.gov/eid/article/26/9/19-1315_article |
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