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Risk Profiling of Hookworm Infection and Intensity in Southern Lao People’s Democratic Republic Using Bayesian Models

BACKGROUND: Among the common soil-transmitted helminth infections, hookworm causes the highest burden. Previous research in the southern part of Lao People’s Democratic Republic (Lao PDR) revealed high prevalence rates of hookworm infection. The purpose of this study was to predict the spatial distr...

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Autores principales: Forrer, Armelle, Vounatsou, Penelope, Sayasone, Somphou, Vonghachack, Youthanavanh, Bouakhasith, Dalouny, Utzinger, Jürg, Akkhavong, Kongsap, Odermatt, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4378892/
https://www.ncbi.nlm.nih.gov/pubmed/25822794
http://dx.doi.org/10.1371/journal.pntd.0003486
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author Forrer, Armelle
Vounatsou, Penelope
Sayasone, Somphou
Vonghachack, Youthanavanh
Bouakhasith, Dalouny
Utzinger, Jürg
Akkhavong, Kongsap
Odermatt, Peter
author_facet Forrer, Armelle
Vounatsou, Penelope
Sayasone, Somphou
Vonghachack, Youthanavanh
Bouakhasith, Dalouny
Utzinger, Jürg
Akkhavong, Kongsap
Odermatt, Peter
author_sort Forrer, Armelle
collection PubMed
description BACKGROUND: Among the common soil-transmitted helminth infections, hookworm causes the highest burden. Previous research in the southern part of Lao People’s Democratic Republic (Lao PDR) revealed high prevalence rates of hookworm infection. The purpose of this study was to predict the spatial distribution of hookworm infection and intensity, and to investigate risk factors in the Champasack province, southern Lao PDR. METHODOLOGY: A cross-sectional parasitological and questionnaire survey was conducted in 51 villages. Data on demography, socioeconomic status, water, sanitation, and behavior were combined with remotely sensed environmental data. Bayesian mixed effects logistic and negative binomial models were utilized to investigate risk factors and spatial distribution of hookworm infection and intensity, and to make predictions for non-surveyed locations. PRINCIPAL FINDINGS: A total of 3,371 individuals were examined with duplicate Kato-Katz thick smears and revealed a hookworm prevalence of 48.8%. Most infections (91.7%) were of light intensity (1-1,999 eggs/g of stool). Lower hookworm infection levels were associated with higher socioeconomic status. The lowest infection levels were found in preschool-aged children. Overall, females were at lower risk of infection, but women aged 50 years and above harbored the heaviest hookworm infection intensities. Hookworm was widespread in Champasack province with little evidence for spatial clustering. Infection risk was somewhat lower in the lowlands, mostly along the western bank of the Mekong River, while infection intensity was homogeneous across the Champasack province. CONCLUSIONS/SIGNIFICANCE: Hookworm transmission seems to occur within, rather than between villages in Champasack province. We present spatial risk maps of hookworm infection and intensity, which suggest that control efforts should be intensified in the Champasack province, particularly in mountainous areas.
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spelling pubmed-43788922015-04-09 Risk Profiling of Hookworm Infection and Intensity in Southern Lao People’s Democratic Republic Using Bayesian Models Forrer, Armelle Vounatsou, Penelope Sayasone, Somphou Vonghachack, Youthanavanh Bouakhasith, Dalouny Utzinger, Jürg Akkhavong, Kongsap Odermatt, Peter PLoS Negl Trop Dis Research Article BACKGROUND: Among the common soil-transmitted helminth infections, hookworm causes the highest burden. Previous research in the southern part of Lao People’s Democratic Republic (Lao PDR) revealed high prevalence rates of hookworm infection. The purpose of this study was to predict the spatial distribution of hookworm infection and intensity, and to investigate risk factors in the Champasack province, southern Lao PDR. METHODOLOGY: A cross-sectional parasitological and questionnaire survey was conducted in 51 villages. Data on demography, socioeconomic status, water, sanitation, and behavior were combined with remotely sensed environmental data. Bayesian mixed effects logistic and negative binomial models were utilized to investigate risk factors and spatial distribution of hookworm infection and intensity, and to make predictions for non-surveyed locations. PRINCIPAL FINDINGS: A total of 3,371 individuals were examined with duplicate Kato-Katz thick smears and revealed a hookworm prevalence of 48.8%. Most infections (91.7%) were of light intensity (1-1,999 eggs/g of stool). Lower hookworm infection levels were associated with higher socioeconomic status. The lowest infection levels were found in preschool-aged children. Overall, females were at lower risk of infection, but women aged 50 years and above harbored the heaviest hookworm infection intensities. Hookworm was widespread in Champasack province with little evidence for spatial clustering. Infection risk was somewhat lower in the lowlands, mostly along the western bank of the Mekong River, while infection intensity was homogeneous across the Champasack province. CONCLUSIONS/SIGNIFICANCE: Hookworm transmission seems to occur within, rather than between villages in Champasack province. We present spatial risk maps of hookworm infection and intensity, which suggest that control efforts should be intensified in the Champasack province, particularly in mountainous areas. Public Library of Science 2015-03-30 /pmc/articles/PMC4378892/ /pubmed/25822794 http://dx.doi.org/10.1371/journal.pntd.0003486 Text en © 2015 Forrer 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
Forrer, Armelle
Vounatsou, Penelope
Sayasone, Somphou
Vonghachack, Youthanavanh
Bouakhasith, Dalouny
Utzinger, Jürg
Akkhavong, Kongsap
Odermatt, Peter
Risk Profiling of Hookworm Infection and Intensity in Southern Lao People’s Democratic Republic Using Bayesian Models
title Risk Profiling of Hookworm Infection and Intensity in Southern Lao People’s Democratic Republic Using Bayesian Models
title_full Risk Profiling of Hookworm Infection and Intensity in Southern Lao People’s Democratic Republic Using Bayesian Models
title_fullStr Risk Profiling of Hookworm Infection and Intensity in Southern Lao People’s Democratic Republic Using Bayesian Models
title_full_unstemmed Risk Profiling of Hookworm Infection and Intensity in Southern Lao People’s Democratic Republic Using Bayesian Models
title_short Risk Profiling of Hookworm Infection and Intensity in Southern Lao People’s Democratic Republic Using Bayesian Models
title_sort risk profiling of hookworm infection and intensity in southern lao people’s democratic republic using bayesian models
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4378892/
https://www.ncbi.nlm.nih.gov/pubmed/25822794
http://dx.doi.org/10.1371/journal.pntd.0003486
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