Literature DB >> 12729197

Improving sensitivity of oral fluid testing in IgG prevalence studies: application of mixture models to a rubella antibody survey.

N J Gay1, A J Vyse, F Enquselassie, W Nigatu, D J Nokes.   

Abstract

A method for the analysis of age-stratified antibody prevalence surveys is applied to a previously reported survey of antibody to rubella virus using oral fluid samples in which the sensitivity of the assay used was shown to be compromised. The age-specific distribution of the quantitative results of antibody tests using oral fluids is modelled as a mixture of strong positive, weak positive and negative components. This yields maximum likelihood estimates of the prevalence at each age and demonstrates that, when used in conjunction with mixture modelling techniques, the results of antibody prevalence studies using oral fluids accurately reflect those obtained using sera.

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Year:  2003        PMID: 12729197      PMCID: PMC2869964          DOI: 10.1017/s0950268802008051

Source DB:  PubMed          Journal:  Epidemiol Infect        ISSN: 0950-2688            Impact factor:   2.451


  14 in total

1.  Interpreting serological surveys using mixture models: the seroepidemiology of measles, mumps and rubella in England and Wales at the beginning of the 21st century.

Authors:  A J Vyse; N J Gay; L M Hesketh; R Pebody; P Morgan-Capner; E Miller
Journal:  Epidemiol Infect       Date:  2006-05-02       Impact factor: 2.451

2.  Analysis of rubella antibody distribution from newborn dried blood spots using finite mixture models.

Authors:  P Hardelid; D Williams; C Dezateux; P A Tookey; C S Peckham; W D Cubitt; M Cortina-Borja
Journal:  Epidemiol Infect       Date:  2008-02-25       Impact factor: 2.451

3.  Detection of measles- and mumps-specific IgG antibodies in paired serum and oral fluid samples from Norwegian conscripts.

Authors:  K Vainio; H H Samdal; G Anestad; E Wedege; D H Skutlaberg; K T Bransdal; R Mundal; I S Aaberge
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2008-02-22       Impact factor: 3.267

4.  Seroepidemiology of diphtheria and pertussis in Luxembourg in 2000.

Authors:  J Mossong; L Putz; Z Shkedy; F Schneider
Journal:  Epidemiol Infect       Date:  2005-11-29       Impact factor: 2.451

5.  The burden of parvovirus B19 infection in women of childbearing age in England and Wales.

Authors:  A J Vyse; N J Andrews; L M Hesketh; R Pebody
Journal:  Epidemiol Infect       Date:  2007-02-12       Impact factor: 2.451

6.  Evaluation of a measles vaccine campaign by oral-fluid surveys in a rural Kenyan district: interpretation of antibody prevalence data using mixture models.

Authors:  E O Ohuma; E A Okiro; A Bett; J Abwao; S Were; D Samuel; A Vyse; N Gay; D W G Brown; D J Nokes
Journal:  Epidemiol Infect       Date:  2008-06-10       Impact factor: 2.451

7.  Establishing the extent of malaria transmission and challenges facing pre-elimination in the Republic of Djibouti.

Authors:  Abdisalan M Noor; Maoulid B Mohamed; Cleopatra K Mugyenyi; Mouna A Osman; Hawa H Guessod; Caroline W Kabaria; Ifrah A Ahmed; Mary Nyonda; Jackie Cook; Christopher J Drakeley; Margaret J Mackinnon; Robert W Snow
Journal:  BMC Infect Dis       Date:  2011-05-11       Impact factor: 3.090

Review 8.  Application of Oral Fluid Assays in Support of Mumps, Rubella and Varicella Control Programs.

Authors:  Peter A C Maple
Journal:  Vaccines (Basel)       Date:  2015-12-09

9.  Estimating malaria transmission intensity from Plasmodium falciparum serological data using antibody density models.

Authors:  Emilie Pothin; Neil M Ferguson; Chris J Drakeley; Azra C Ghani
Journal:  Malar J       Date:  2016-02-09       Impact factor: 2.979

10.  Antibody levels against GLURP R2, MSP1 block 2 hybrid and AS202.11 and the risk of malaria in children living in hyperendemic (Burkina Faso) and hypo-endemic (Ghana) areas.

Authors:  Bright Adu; Mariama K Cherif; Samuel Bosomprah; Amidou Diarra; Fareed K N Arthur; Emmanuel K Dickson; Giampietro Corradin; David R Cavanagh; Michael Theisen; Sodiomon B Sirima; Issa Nebie; Daniel Dodoo
Journal:  Malar J       Date:  2016-02-27       Impact factor: 2.979

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