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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Main Authors: Virak Khieu (Author), Fabian Schär (Author), Armelle Forrer (Author), Jan Hattendorf (Author), Hanspeter Marti (Author), Socheat Duong (Author), Penelope Vounatsou (Author), Sinuon Muth (Author), Peter Odermatt (Author)
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Published: Public Library of Science (PLoS), 2014-06-01T00:00:00Z.
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100 1 0 |a Virak Khieu  |e author 
700 1 0 |a Fabian Schär  |e author 
700 1 0 |a Armelle Forrer  |e author 
700 1 0 |a Jan Hattendorf  |e author 
700 1 0 |a Hanspeter Marti  |e author 
700 1 0 |a Socheat Duong  |e author 
700 1 0 |a Penelope Vounatsou  |e author 
700 1 0 |a Sinuon Muth  |e author 
700 1 0 |a Peter Odermatt  |e author 
245 0 0 |a High prevalence and spatial distribution of Strongyloides stercoralis in rural Cambodia. 
260 |b Public Library of Science (PLoS),   |c 2014-06-01T00:00:00Z. 
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500 |a 10.1371/journal.pntd.0002854 
520 |a 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. 
546 |a EN 
690 |a Arctic medicine. Tropical medicine 
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690 |a Public aspects of medicine 
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786 0 |n PLoS Neglected Tropical Diseases, Vol 8, Iss 6, p e2854 (2014) 
787 0 |n http://europepmc.org/articles/PMC4055527?pdf=render 
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