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High Prevalence and Spatial Distribution of Strongyloides stercoralis in Rural Cambodia

BACKGROUND: The threadworm, Strongyloides stercoralis, endemic in tropical and temperate climates, is a neglected tropical disease. Its diagnosis requires specific methods, and accurate information on its geographic distribution and global burden are lacking. We predicted prevalence, using Bayesian...

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Autores principales: Khieu, Virak, Schär, Fabian, Forrer, Armelle, Hattendorf, Jan, Marti, Hanspeter, Duong, Socheat, Vounatsou, Penelope, Muth, Sinuon, Odermatt, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4055527/
https://www.ncbi.nlm.nih.gov/pubmed/24921627
http://dx.doi.org/10.1371/journal.pntd.0002854
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author Khieu, Virak
Schär, Fabian
Forrer, Armelle
Hattendorf, Jan
Marti, Hanspeter
Duong, Socheat
Vounatsou, Penelope
Muth, Sinuon
Odermatt, Peter
author_facet Khieu, Virak
Schär, Fabian
Forrer, Armelle
Hattendorf, Jan
Marti, Hanspeter
Duong, Socheat
Vounatsou, Penelope
Muth, Sinuon
Odermatt, Peter
author_sort Khieu, Virak
collection PubMed
description BACKGROUND: The threadworm, Strongyloides stercoralis, endemic in tropical and temperate climates, is a neglected tropical disease. Its diagnosis requires specific methods, and accurate information on its geographic distribution and global burden are lacking. We predicted prevalence, using Bayesian geostatistical modeling, and determined risk factors in northern Cambodia. METHODS: From February to June 2010, we performed a cross-sectional study among 2,396 participants from 60 villages in Preah Vihear Province, northern Cambodia. Two stool specimens per participant were examined using Koga agar plate culture and the Baermann method for detecting S. stercoralis infection. Environmental data was linked to parasitological and questionnaire data by location. Bayesian mixed logistic models were used to explore the spatial correlation of S. stercoralis infection risk. Bayesian Kriging was employed to predict risk at non-surveyed locations. PRINCIPAL FINDINGS: Of the 2,396 participants, 44.7% were infected with S. stercoralis. Of 1,071 strongyloidiasis cases, 339 (31.6%) were among schoolchildren and 425 (39.7%) were found in individuals under 16 years. The incidence of S. stercoralis infection statistically increased with age. Infection among male participants was significantly higher than among females (OR: 1.7; 95% CI: 1.4–2.0; P<0.001). Participants who defecated in latrines were infected significantly less than those who did not (OR: 0.6; 95% CI: 0.4–0.8; P = 0.001). Strongyloidiasis cases would be reduced by 39% if all participants defecated in latrines. Incidence of S. stercoralis infections did not show a strong tendency toward spatial clustering in this province. The risk of infection significantly decreased with increasing rainfall and soil organic carbon content, and increased in areas with rice fields. CONCLUSIONS/SIGNIFICANCE: Prevalence of S. stercoralis in rural Cambodia is very high and school-aged children and adults over 45 years were the most at risk for infection. Lack of access to adequate treatment for chronic uncomplicated strongyloidiasis is an urgent issue in Cambodia. We would expect to see similar prevalence rates elsewhere in Southeast Asia and other tropical resource poor countries.
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spelling pubmed-40555272014-06-18 High Prevalence and Spatial Distribution of Strongyloides stercoralis in Rural Cambodia Khieu, Virak Schär, Fabian Forrer, Armelle Hattendorf, Jan Marti, Hanspeter Duong, Socheat Vounatsou, Penelope Muth, Sinuon Odermatt, Peter PLoS Negl Trop Dis Research Article BACKGROUND: The threadworm, Strongyloides stercoralis, endemic in tropical and temperate climates, is a neglected tropical disease. Its diagnosis requires specific methods, and accurate information on its geographic distribution and global burden are lacking. We predicted prevalence, using Bayesian geostatistical modeling, and determined risk factors in northern Cambodia. METHODS: From February to June 2010, we performed a cross-sectional study among 2,396 participants from 60 villages in Preah Vihear Province, northern Cambodia. Two stool specimens per participant were examined using Koga agar plate culture and the Baermann method for detecting S. stercoralis infection. Environmental data was linked to parasitological and questionnaire data by location. Bayesian mixed logistic models were used to explore the spatial correlation of S. stercoralis infection risk. Bayesian Kriging was employed to predict risk at non-surveyed locations. PRINCIPAL FINDINGS: Of the 2,396 participants, 44.7% were infected with S. stercoralis. Of 1,071 strongyloidiasis cases, 339 (31.6%) were among schoolchildren and 425 (39.7%) were found in individuals under 16 years. The incidence of S. stercoralis infection statistically increased with age. Infection among male participants was significantly higher than among females (OR: 1.7; 95% CI: 1.4–2.0; P<0.001). Participants who defecated in latrines were infected significantly less than those who did not (OR: 0.6; 95% CI: 0.4–0.8; P = 0.001). Strongyloidiasis cases would be reduced by 39% if all participants defecated in latrines. Incidence of S. stercoralis infections did not show a strong tendency toward spatial clustering in this province. The risk of infection significantly decreased with increasing rainfall and soil organic carbon content, and increased in areas with rice fields. CONCLUSIONS/SIGNIFICANCE: Prevalence of S. stercoralis in rural Cambodia is very high and school-aged children and adults over 45 years were the most at risk for infection. Lack of access to adequate treatment for chronic uncomplicated strongyloidiasis is an urgent issue in Cambodia. We would expect to see similar prevalence rates elsewhere in Southeast Asia and other tropical resource poor countries. Public Library of Science 2014-06-12 /pmc/articles/PMC4055527/ /pubmed/24921627 http://dx.doi.org/10.1371/journal.pntd.0002854 Text en © 2014 Khieu et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Khieu, Virak
Schär, Fabian
Forrer, Armelle
Hattendorf, Jan
Marti, Hanspeter
Duong, Socheat
Vounatsou, Penelope
Muth, Sinuon
Odermatt, Peter
High Prevalence and Spatial Distribution of Strongyloides stercoralis in Rural Cambodia
title High Prevalence and Spatial Distribution of Strongyloides stercoralis in Rural Cambodia
title_full High Prevalence and Spatial Distribution of Strongyloides stercoralis in Rural Cambodia
title_fullStr High Prevalence and Spatial Distribution of Strongyloides stercoralis in Rural Cambodia
title_full_unstemmed High Prevalence and Spatial Distribution of Strongyloides stercoralis in Rural Cambodia
title_short High Prevalence and Spatial Distribution of Strongyloides stercoralis in Rural Cambodia
title_sort high prevalence and spatial distribution of strongyloides stercoralis in rural cambodia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4055527/
https://www.ncbi.nlm.nih.gov/pubmed/24921627
http://dx.doi.org/10.1371/journal.pntd.0002854
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