Literature DB >> 16895309

Optimal pooled testing.

Brett A Saraniti1.   

Abstract

This paper first characterizes three pooled testing techniques for generic testing conditions. It then applies these methods to demonstrate potential costs savings for universal HIV screening in the United Stated and Thailand. The success of these techniques in general is shown to be dependent on the prevalence as well as the disparity in prevalence between high and low risk groups. Further limitations on effectiveness include the potential impact of dilution on sensitivity. This and other limitations are addressed in the second section which focuses on applications of the techniques. Cost reductions are demonstrated to be feasible at prevalence of up to 30% and increasing dramatically at lower rates. Applying optimal pooled testing to universal HIV screening would result in an annual savings of over $1.4 billion in the United States and over $130 million in Thailand. Recent calls for universal HIV testing are based on the cost effectiveness of routine screening. These assessments may substantially overstate the cost of routine screening which strengthens the argument for universal screening.

Mesh:

Year:  2006        PMID: 16895309     DOI: 10.1007/s10729-006-7662-y

Source DB:  PubMed          Journal:  Health Care Manag Sci        ISSN: 1386-9620


  8 in total

1.  Relevance of antibody content and test format in HIV testing of pooled sera.

Authors:  O T Monzon; F J Paladin; E Dimaandal; A M Balis; C Samson; S Mitchell
Journal:  AIDS       Date:  1992-01       Impact factor: 4.177

2.  Successful use of pooled sera to determine HIV-1 seroprevalence in Zaire with development of cost-efficiency models.

Authors:  F Behets; S Bertozzi; M Kasali; M Kashamuka; L Atikala; C Brown; R W Ryder; T C Quinn
Journal:  AIDS       Date:  1990-08       Impact factor: 4.177

3.  Routine screening for HIV infection--timely and cost-effective.

Authors:  Samuel A Bozzette
Journal:  N Engl J Med       Date:  2005-02-10       Impact factor: 91.245

4.  Cost reduction of unlinked testing for anti-HIV by investigation of pooled sera.

Authors:  G G Frösner; G Dobler; F J von Sonnenburg
Journal:  AIDS       Date:  1990-01       Impact factor: 4.177

5.  Studies of AIDS and HIV surveillance. Screening tests: can we get more by doing less?

Authors:  X M Tu; E Litvak; M Pagano
Journal:  Stat Med       Date:  1994 Oct 15-30       Impact factor: 2.373

6.  Cost-effectiveness of screening for HIV in the era of highly active antiretroviral therapy.

Authors:  Gillian D Sanders; Ahmed M Bayoumi; Vandana Sundaram; S Pinar Bilir; Christopher P Neukermans; Chara E Rydzak; Lena R Douglass; Laura C Lazzeroni; Mark Holodniy; Douglas K Owens
Journal:  N Engl J Med       Date:  2005-02-10       Impact factor: 91.245

7.  Expanded screening for HIV in the United States--an analysis of cost-effectiveness.

Authors:  A David Paltiel; Milton C Weinstein; April D Kimmel; George R Seage; Elena Losina; Hong Zhang; Kenneth A Freedberg; Rochelle P Walensky
Journal:  N Engl J Med       Date:  2005-02-10       Impact factor: 91.245

8.  Combining pooling and alternative algorithms in seroprevalence studies.

Authors:  J M Raboud; C Sherlock; M T Schechter; D G Lepine; M V O'Shaughnessy
Journal:  J Clin Microbiol       Date:  1993-09       Impact factor: 5.948

  8 in total
  4 in total

1.  Boosting SARS-CoV-2 detection combining pooling and multiplex strategies.

Authors:  Isadora Alonso Correa; Tamires de Souza Rodrigues; Alex Queiroz; Leon de França Nascimento; Thiago Wolff; Rubens Nobumoto Akamine; Sergio Noboru Kuriyama; Luciana Jesus da Costa; Antonio Augusto Fidalgo-Neto
Journal:  Sci Rep       Date:  2022-05-23       Impact factor: 4.996

2.  Pooled testing efficiency increases with test frequency.

Authors:  Ned Augenblick; Jonathan Kolstad; Ziad Obermeyer; Ao Wang
Journal:  Proc Natl Acad Sci U S A       Date:  2022-01-11       Impact factor: 12.779

3.  Optimal multi-stage group partition for efficient coronavirus screening.

Authors:  Yuvraj Gajpal; S S Appadoo; Victor Shi; Guoping Hu
Journal:  Ann Oper Res       Date:  2022-02-21       Impact factor: 4.820

4.  Boosting test-efficiency by pooled testing for SARS-CoV-2-Formula for optimal pool size.

Authors:  Rudolf Hanel; Stefan Thurner
Journal:  PLoS One       Date:  2020-11-04       Impact factor: 3.240

  4 in total

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