Literature DB >> 16687680

Important experimental parameters for determining infection rates in arthropod vectors using pool screening approaches.

Charles R Katholi1, Thomas R Unnasch.   

Abstract

Measuring transmission of a vector-borne infection is essential to understanding infection dynamics. When infection prevalence in the vector population is low, transmission is often measured by pool screening (also referred to as group testing). Several investigators have developed statistical methods to recover infection prevalence estimates from pool screen data. These are based on models that contain certain assumptions, and a pool screening approach must be designed to take these into account if accurate estimates of infection prevalence are to be obtained. Here we describe these assumptions and discuss appropriate sampling protocols. The sources of error inherent in pool screening are described, and we show that, under most conditions in which one would want to use group testing, most of the error results from sampling and not the pooling process. Issues involved in developing a sampling protocol, including the total number of insects to be screened and optimal pool size, are explored. The meaning of confidence intervals associated with prevalence estimates and the appropriate interpretation of these intervals are discussed.

Mesh:

Year:  2006        PMID: 16687680

Source DB:  PubMed          Journal:  Am J Trop Med Hyg        ISSN: 0002-9637            Impact factor:   2.345


  38 in total

1.  West Nile virus infection in mosquitoes in the mid-south USA, 2002-2005.

Authors:  Eddie W Cupp; Hassan K Hassan; Xin Yue; William K Oldland; Bruce M Lilley; Thomas R Unnasch
Journal:  J Med Entomol       Date:  2007-01       Impact factor: 2.278

2.  Persistence of Brugia malayi DNA in vector and non-vector mosquitoes: implications for xenomonitoring and transmission monitoring of lymphatic filariasis.

Authors:  Peter Fischer; Sara M Erickson; Kerstin Fischer; Jeremy F Fuchs; Ramakrishna U Rao; Bruce M Christensen; Gary J Weil
Journal:  Am J Trop Med Hyg       Date:  2007-03       Impact factor: 2.345

3.  Interruption of Onchocerca volvulus transmission in the Abu Hamed focus, Sudan.

Authors:  Tarig B Higazi; Isam M A Zarroug; Hanan A Mohamed; Wigdan A Elmubark; Tong Chor M Deran; Nabil Aziz; Moses Katabarwa; Hassan K Hassan; Thomas R Unnasch; Charles D Mackenzie; Frank Richards; Kamal Hashim
Journal:  Am J Trop Med Hyg       Date:  2013-05-20       Impact factor: 2.345

4.  Prevalence of sand flies and Leishmania donovani infection in a natural population of female Phlebotomus argentipes in Bihar State, India.

Authors:  Puja Tiwary; Dinesh Kumar; Rudra Pratap Singh; Madhukar Rai; Shyam Sundar
Journal:  Vector Borne Zoonotic Dis       Date:  2012-01-04       Impact factor: 2.133

5.  Estimating Disease Prevalence Using Inverse Binomial Pooled Testing.

Authors:  Nicholas A Pritchard; Joshua M Tebbs
Journal:  J Agric Biol Environ Stat       Date:  2011-03-01       Impact factor: 1.524

6.  Bayesian inference for disease prevalence using negative binomial group testing.

Authors:  Nicholas A Pritchard; Joshua M Tebbs
Journal:  Biom J       Date:  2011-02       Impact factor: 2.207

7.  Polymerase chain reaction pool screening used to compare prevalence of infective black flies in two onchocerciasis foci in northern Sudan.

Authors:  Tarig B Higazi; Isam M A Zarroug; Hanan A Mohamed; Wigdan A Elmubark; Wigdan A Mohamed; Tong Chor M Deran; Nabil Aziz; Moses Katabarwa; Hassan K Hassan; Thomas R Unnasch; Charles D Mackenzie; Frank Richards
Journal:  Am J Trop Med Hyg       Date:  2011-05       Impact factor: 2.345

8.  Sources of error in the estimation of mosquito infection rates used to assess risk of arbovirus transmission.

Authors:  Dulce M Bustamante; Cynthia C Lord
Journal:  Am J Trop Med Hyg       Date:  2010-06       Impact factor: 2.345

9.  Bias, efficiency, and agreement for group-testing regression models.

Authors:  Christopher R Bilder; Joshua M Tebbs
Journal:  J Stat Comput Simul       Date:  2009-01-01       Impact factor: 1.424

10.  Distribution of Brugia malayi larvae and DNA in vector and non-vector mosquitoes: implications for molecular diagnostics.

Authors:  Sara M Erickson; Kerstin Fischer; Gary J Weil; Bruce M Christensen; Peter U Fischer
Journal:  Parasit Vectors       Date:  2009-11-17       Impact factor: 3.876

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