Using the prevalence of individual species of intestinal nematode worms to estimate the combined prevalence of any species.

To assess if a probabilistic model could be used to estimate the combined prevalence of infection with any species of intestinal nematode worm when only the separate prevalence of each species is reported, and to estimate the extent to which simply taking the highest individual species prevalence un...

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Main Authors: Nilanthi de Silva, Andrew Hall
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2010-04-01
Series:PLoS Neglected Tropical Diseases
Online Access:http://europepmc.org/articles/PMC2854118?pdf=render
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spelling doaj-dc9d99637d6c454fba430bfd994cbccf2020-11-25T02:47:00ZengPublic Library of Science (PLoS)PLoS Neglected Tropical Diseases1935-27271935-27352010-04-0144e65510.1371/journal.pntd.0000655Using the prevalence of individual species of intestinal nematode worms to estimate the combined prevalence of any species.Nilanthi de SilvaAndrew HallTo assess if a probabilistic model could be used to estimate the combined prevalence of infection with any species of intestinal nematode worm when only the separate prevalence of each species is reported, and to estimate the extent to which simply taking the highest individual species prevalence underestimates the combined prevalence.Data were extracted from community surveys that reported both the proportion infected with individual species and the combined proportion infected, for a minimum sample of 100 individuals. The predicted combined proportion infected was calculated based on the assumption that the probability of infection with one species was independent of infection with another species, so the probability of combined infections was multiplicative.Thirty-three reports describing 63 data sets from surveys conducted in 20 countries were identified. A strong correlation was found between the observed and predicted combined proportion infected (r = 0.996, P<0.001). When the observed and predicted values were plotted against each other, a small correction of the predicted combined prevalence by dividing by a factor of 1.06 achieved a near perfect correlation between the two sets of values. The difference between the single highest species prevalence and the observed combined prevalence was on average 7% or smaller at a prevalence of <or=40%, but at prevalences of 40-80%, the difference was about 12%.A simple probabilistic model of combined infection with a small correction factor is proposed as a novel method to estimate the number of individuals that would benefit from mass deworming when data are reported only for separate species.http://europepmc.org/articles/PMC2854118?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Nilanthi de Silva
Andrew Hall
spellingShingle Nilanthi de Silva
Andrew Hall
Using the prevalence of individual species of intestinal nematode worms to estimate the combined prevalence of any species.
PLoS Neglected Tropical Diseases
author_facet Nilanthi de Silva
Andrew Hall
author_sort Nilanthi de Silva
title Using the prevalence of individual species of intestinal nematode worms to estimate the combined prevalence of any species.
title_short Using the prevalence of individual species of intestinal nematode worms to estimate the combined prevalence of any species.
title_full Using the prevalence of individual species of intestinal nematode worms to estimate the combined prevalence of any species.
title_fullStr Using the prevalence of individual species of intestinal nematode worms to estimate the combined prevalence of any species.
title_full_unstemmed Using the prevalence of individual species of intestinal nematode worms to estimate the combined prevalence of any species.
title_sort using the prevalence of individual species of intestinal nematode worms to estimate the combined prevalence of any species.
publisher Public Library of Science (PLoS)
series PLoS Neglected Tropical Diseases
issn 1935-2727
1935-2735
publishDate 2010-04-01
description To assess if a probabilistic model could be used to estimate the combined prevalence of infection with any species of intestinal nematode worm when only the separate prevalence of each species is reported, and to estimate the extent to which simply taking the highest individual species prevalence underestimates the combined prevalence.Data were extracted from community surveys that reported both the proportion infected with individual species and the combined proportion infected, for a minimum sample of 100 individuals. The predicted combined proportion infected was calculated based on the assumption that the probability of infection with one species was independent of infection with another species, so the probability of combined infections was multiplicative.Thirty-three reports describing 63 data sets from surveys conducted in 20 countries were identified. A strong correlation was found between the observed and predicted combined proportion infected (r = 0.996, P<0.001). When the observed and predicted values were plotted against each other, a small correction of the predicted combined prevalence by dividing by a factor of 1.06 achieved a near perfect correlation between the two sets of values. The difference between the single highest species prevalence and the observed combined prevalence was on average 7% or smaller at a prevalence of <or=40%, but at prevalences of 40-80%, the difference was about 12%.A simple probabilistic model of combined infection with a small correction factor is proposed as a novel method to estimate the number of individuals that would benefit from mass deworming when data are reported only for separate species.
url http://europepmc.org/articles/PMC2854118?pdf=render
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