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Ecological Drivers of Mansonella perstans Infection in Uganda and Patterns of Co-endemicity with Lymphatic Filariasis and Malaria

BACKGROUND: Mansonella perstans is a widespread, but relatively unknown human filarial parasite transmitted by Culicoides biting midges. Although it is found in many parts of sub-Saharan Africa, only few studies have been carried out to deepen the understanding of its ecology, epidemiology, and heal...

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Autores principales: Stensgaard, Anna-Sofie, Vounatsou, Penelope, Onapa, Ambrose W., Utzinger, Jürg, Pedersen, Erling M., Kristensen, Thomas K., Simonsen, Paul E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4721671/
https://www.ncbi.nlm.nih.gov/pubmed/26793972
http://dx.doi.org/10.1371/journal.pntd.0004319
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author Stensgaard, Anna-Sofie
Vounatsou, Penelope
Onapa, Ambrose W.
Utzinger, Jürg
Pedersen, Erling M.
Kristensen, Thomas K.
Simonsen, Paul E.
author_facet Stensgaard, Anna-Sofie
Vounatsou, Penelope
Onapa, Ambrose W.
Utzinger, Jürg
Pedersen, Erling M.
Kristensen, Thomas K.
Simonsen, Paul E.
author_sort Stensgaard, Anna-Sofie
collection PubMed
description BACKGROUND: Mansonella perstans is a widespread, but relatively unknown human filarial parasite transmitted by Culicoides biting midges. Although it is found in many parts of sub-Saharan Africa, only few studies have been carried out to deepen the understanding of its ecology, epidemiology, and health consequences. Hence, knowledge about ecological drivers of the vector and parasite distribution, integral to develop spatially explicit models for disease prevention, control, and elimination strategies, is limited. METHODOLOGY: We analyzed data from a comprehensive nationwide survey of M. perstans infection conducted in 76 schools across Uganda in 2000–2003, to identify environmental drivers. A suite of Bayesian geostatistical regression models was fitted, and the best fitting model based on the deviance information criterion was utilized to predict M. perstans infection risk for all of Uganda. Additionally, we investigated co-infection rates and co-distribution with Wuchereria bancrofti and Plasmodium spp. infections observed at the same survey by mapping geographically overlapping areas. PRINCIPAL FINDINGS: Several bioclimatic factors were significantly associated with M. perstans infection levels. A spatial Bayesian regression model showed the best fit, with diurnal temperature range, normalized difference vegetation index, and cattle densities identified as significant covariates. This model was employed to predict M. perstans infection risk at non-sampled locations. The level of co-infection with W. bancrofti was low (0.3%), due to limited geographic overlap. However, where the two infections did overlap geographically, a positive association was found. CONCLUSIONS/SIGNIFICANCE: This study presents the first geostatistical risk map for M. perstans in Uganda. We confirmed a widespread distribution of M. perstans, and identified important potential drivers of risk. The results provide new insight about the ecologic preferences of this otherwise poorly known filarial parasite and its Culicoides vector species in Uganda, which might be relevant for other settings in sub-Saharan Africa.
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spelling pubmed-47216712016-01-30 Ecological Drivers of Mansonella perstans Infection in Uganda and Patterns of Co-endemicity with Lymphatic Filariasis and Malaria Stensgaard, Anna-Sofie Vounatsou, Penelope Onapa, Ambrose W. Utzinger, Jürg Pedersen, Erling M. Kristensen, Thomas K. Simonsen, Paul E. PLoS Negl Trop Dis Research Article BACKGROUND: Mansonella perstans is a widespread, but relatively unknown human filarial parasite transmitted by Culicoides biting midges. Although it is found in many parts of sub-Saharan Africa, only few studies have been carried out to deepen the understanding of its ecology, epidemiology, and health consequences. Hence, knowledge about ecological drivers of the vector and parasite distribution, integral to develop spatially explicit models for disease prevention, control, and elimination strategies, is limited. METHODOLOGY: We analyzed data from a comprehensive nationwide survey of M. perstans infection conducted in 76 schools across Uganda in 2000–2003, to identify environmental drivers. A suite of Bayesian geostatistical regression models was fitted, and the best fitting model based on the deviance information criterion was utilized to predict M. perstans infection risk for all of Uganda. Additionally, we investigated co-infection rates and co-distribution with Wuchereria bancrofti and Plasmodium spp. infections observed at the same survey by mapping geographically overlapping areas. PRINCIPAL FINDINGS: Several bioclimatic factors were significantly associated with M. perstans infection levels. A spatial Bayesian regression model showed the best fit, with diurnal temperature range, normalized difference vegetation index, and cattle densities identified as significant covariates. This model was employed to predict M. perstans infection risk at non-sampled locations. The level of co-infection with W. bancrofti was low (0.3%), due to limited geographic overlap. However, where the two infections did overlap geographically, a positive association was found. CONCLUSIONS/SIGNIFICANCE: This study presents the first geostatistical risk map for M. perstans in Uganda. We confirmed a widespread distribution of M. perstans, and identified important potential drivers of risk. The results provide new insight about the ecologic preferences of this otherwise poorly known filarial parasite and its Culicoides vector species in Uganda, which might be relevant for other settings in sub-Saharan Africa. Public Library of Science 2016-01-21 /pmc/articles/PMC4721671/ /pubmed/26793972 http://dx.doi.org/10.1371/journal.pntd.0004319 Text en © 2016 Stensgaard 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 (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Stensgaard, Anna-Sofie
Vounatsou, Penelope
Onapa, Ambrose W.
Utzinger, Jürg
Pedersen, Erling M.
Kristensen, Thomas K.
Simonsen, Paul E.
Ecological Drivers of Mansonella perstans Infection in Uganda and Patterns of Co-endemicity with Lymphatic Filariasis and Malaria
title Ecological Drivers of Mansonella perstans Infection in Uganda and Patterns of Co-endemicity with Lymphatic Filariasis and Malaria
title_full Ecological Drivers of Mansonella perstans Infection in Uganda and Patterns of Co-endemicity with Lymphatic Filariasis and Malaria
title_fullStr Ecological Drivers of Mansonella perstans Infection in Uganda and Patterns of Co-endemicity with Lymphatic Filariasis and Malaria
title_full_unstemmed Ecological Drivers of Mansonella perstans Infection in Uganda and Patterns of Co-endemicity with Lymphatic Filariasis and Malaria
title_short Ecological Drivers of Mansonella perstans Infection in Uganda and Patterns of Co-endemicity with Lymphatic Filariasis and Malaria
title_sort ecological drivers of mansonella perstans infection in uganda and patterns of co-endemicity with lymphatic filariasis and malaria
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4721671/
https://www.ncbi.nlm.nih.gov/pubmed/26793972
http://dx.doi.org/10.1371/journal.pntd.0004319
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