Literature DB >> 11055638

Sensitivity and predictive value positive measurements for public health surveillance systems.

R R German1.   

Abstract

Two important measurements for the evaluation of a public health surveillance system are sensitivity and predictive value positive (PVP). The computation of sensitivity and PVP for a public health surveillance system, however, can be complicated by the absence of an appropriate gold standard. In addition, there are few references for the computation of sensitivity and PVP for a surveillance system. To determine how these attributes of evaluation have been reported in epidemiologic literature, I review papers that report sensitivity and PVP for public health surveillance systems. Of the 31 papers that met selection criteria, 21 (68%) included either a reference for the computation or a definition of the attributes, whereas 18 (58%) reported both attributes. All 31 papers reported sensitivity, and among the 31 papers, 24 (77%) reported more than one sensitivity measurement. Among the 18 papers that reported at least PVP, 13 (72%) reported more than one PVP measurement. This review provides guidance in computing sensitivity and PVP for a public health surveillance system.

Mesh:

Year:  2000        PMID: 11055638     DOI: 10.1097/00001648-200011000-00020

Source DB:  PubMed          Journal:  Epidemiology        ISSN: 1044-3983            Impact factor:   4.822


  12 in total

1.  Timeliness of emergency department diagnoses for syndromic surveillance.

Authors:  Debbie Travers; Clifton Barnett; Amy Ising; Anna Waller
Journal:  AMIA Annu Symp Proc       Date:  2006

2.  Factors associated with the safety of voluntary medical male circumcision in Nyanza province, Kenya.

Authors:  Amy Herman-Roloff; Robert C Bailey; Kawango Agot
Journal:  Bull World Health Organ       Date:  2012-08-27       Impact factor: 9.408

3.  Development and Evaluation of a Fully Automated Surveillance System for Influenza-Associated Hospitalization at a Multihospital Health System in Northeast Ohio.

Authors:  Patrick C Burke; Rachel Benish Shirley; Jacob Raciniewski; James F Simon; Robert Wyllie; Thomas G Fraser
Journal:  Appl Clin Inform       Date:  2020-08-26       Impact factor: 2.342

4.  Construction and application of surveillance and response systems for parasitic diseases in China, led by NIPD.

Authors:  Y-W Hao; Q Wang; C-L Cao; T Tian; Z-L Zhu; J Xu; S-S Zhou; W-P Wu; Y-D Chen; Y Zhang; J-X Chen; S-Z Li; N Xiao; X-N Zhou
Journal:  Adv Parasitol       Date:  2020-05-13       Impact factor: 3.870

5.  Can near real-time monitoring of emergency department diagnoses facilitate early response to sporadic meningococcal infection?--prospective and retrospective evaluations.

Authors:  Libby O'Toole; David J Muscatello; Wei Zheng; Tim Churches
Journal:  BMC Infect Dis       Date:  2010-10-27       Impact factor: 3.090

6.  Assessment of a syndromic surveillance system based on morbidity data: results from the Oscour network during a heat wave.

Authors:  Loïc Josseran; Anne Fouillet; Nadège Caillère; Dominique Brun-Ney; Danièle Ilef; Gilles Brucker; Helena Medeiros; Pascal Astagneau
Journal:  PLoS One       Date:  2010-08-09       Impact factor: 3.240

7.  Reporting incidence from a surveillance system with an operational case definition of unknown predictive value positive.

Authors:  Scott R Kegler
Journal:  Epidemiol Perspect Innov       Date:  2005-07-20

8.  Construction and application of surveillance and response systems for parasitic diseases in China, led by NIPD-CTDR.

Authors:  Yu-Wan Hao; Qiang Wang; Chun-Li Cao; Tian Tian; Ze-Lin Zhu; Jing Xu; Shuisen Zhou; Weiping Wu; Yingdan Chen; Yi Zhang; Jia-Xu Chen; Shi-Zhu Li; Ning Xiao; Xiao-Nong Zhou
Journal:  Adv Parasitol       Date:  2020-05-13       Impact factor: 3.870

9.  Epidemiology and National Surveillance System for Foot and Mouth Disease in Cattle in Thailand during 2008-2019.

Authors:  Orapun Arjkumpa; Tedsak Yano; Rotchana Prakotcheo; Chalutwan Sansamur; Veerasak Punyapornwithaya
Journal:  Vet Sci       Date:  2020-07-24

Review 10.  Systematic review and meta-analysis of validation studies on a diabetes case definition from health administrative records.

Authors:  Aaron Leong; Kaberi Dasgupta; Sasha Bernatsky; Diane Lacaille; Antonio Avina-Zubieta; Elham Rahme
Journal:  PLoS One       Date:  2013-10-09       Impact factor: 3.240

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