Literature DB >> 22183846

Cost savings and increased efficiency using a stratified specimen pooling strategy for Chlamydia trachomatis and Neisseria gonorrhoeae.

Joanna Lynn Lewis1, Vivian Marie Lockary, Sadika Kobic.   

Abstract

Idaho Chlamydia trachomatis-Neisseria gonorrhoeae specimens from July 2009 were pooled by stratified specimen pooling, an approach that removes high-risk specimens from the pooling population and pools low-risk specimens to maximize pooling efficiency. This approach reduced pool positivity rates by 8%, repeated tests by 9%, and saved 47.4% in direct costs.

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Year:  2012        PMID: 22183846     DOI: 10.1097/OLQ.0b013e318231cd4a

Source DB:  PubMed          Journal:  Sex Transm Dis        ISSN: 0148-5717            Impact factor:   2.830


  20 in total

1.  Bayesian regression for group testing data.

Authors:  Christopher S McMahan; Joshua M Tebbs; Timothy E Hanson; Christopher R Bilder
Journal:  Biometrics       Date:  2017-04-12       Impact factor: 2.571

2.  Regression models for group testing data with pool dilution effects.

Authors:  Christopher S McMahan; Joshua M Tebbs; Christopher R Bilder
Journal:  Biostatistics       Date:  2012-11-28       Impact factor: 5.899

3.  Two-stage hierarchical group testing for multiple infections with application to the infertility prevention project.

Authors:  Joshua M Tebbs; Christopher S McMahan; Christopher R Bilder
Journal:  Biometrics       Date:  2013-10-04       Impact factor: 2.571

4.  A general framework for the regression analysis of pooled biomarker assessments.

Authors:  Yan Liu; Christopher McMahan; Colin Gallagher
Journal:  Stat Med       Date:  2017-03-28       Impact factor: 2.373

5.  Regression analysis and variable selection for two-stage multiple-infection group testing data.

Authors:  Juexin Lin; Dewei Wang; Qi Zheng
Journal:  Stat Med       Date:  2019-07-11       Impact factor: 2.373

6.  Pooling ocular swab specimens from Tanzania for testing by Roche Amplicor and Aptima Combo 2 assays for the detection of Chlamydia trachomatis: accuracy and cost-savings.

Authors:  Laura Dize; Sheila West; Thomas C Quinn; Charlotte A Gaydos
Journal:  Diagn Microbiol Infect Dis       Date:  2013-09-27       Impact factor: 2.803

7.  Group testing case identification with biomarker information.

Authors:  Dewei Wang; Christopher S McMahan; Joshua M Tebbs; Christopher R Bilder
Journal:  Comput Stat Data Anal       Date:  2018-02-01       Impact factor: 1.681

8.  Regression analysis for multiple-disease group testing data.

Authors:  Boan Zhang; Christopher R Bilder; Joshua M Tebbs
Journal:  Stat Med       Date:  2013-05-23       Impact factor: 2.373

9.  Hierarchical group testing for multiple infections.

Authors:  Peijie Hou; Joshua M Tebbs; Christopher R Bilder; Christopher S McMahan
Journal:  Biometrics       Date:  2016-09-22       Impact factor: 2.571

10.  Estimating the prevalence of multiple diseases from two-stage hierarchical pooling.

Authors:  Md S Warasi; Joshua M Tebbs; Christopher S McMahan; Christopher R Bilder
Journal:  Stat Med       Date:  2016-04-18       Impact factor: 2.373

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