Geostatistical model-based estimates of Schistosomiasis prevalence among individuals aged ≤ 20 years in West Africa.

BACKGROUND: Schistosomiasis is a water-based disease that is believed to affect over 200 million people with an estimated 97% of the infections concentrated in Africa. However, these statistics are largely based on population re-adjusted data originally published by Utroska and colleagues more than...

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Published in:PLoS Neglected Tropical Diseases
Main Authors: Nadine Schur, Eveline Hürlimann, Amadou Garba, Mamadou S Traoré, Omar Ndir, Raoult C Ratard, Louis-Albert Tchuem Tchuenté, Thomas K Kristensen, Jürg Utzinger, Penelope Vounatsou
Format: Article in Journal/Newspaper
Language:English
Published: Public Library of Science (PLoS) 2011
Subjects:
Online Access:https://doi.org/10.1371/journal.pntd.0001194
https://doaj.org/article/7a0abe0ca4f54279aa7f82340b50ff29
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spelling ftdoajarticles:oai:doaj.org/article:7a0abe0ca4f54279aa7f82340b50ff29 2023-05-15T15:15:51+02:00 Geostatistical model-based estimates of Schistosomiasis prevalence among individuals aged ≤ 20 years in West Africa. Nadine Schur Eveline Hürlimann Amadou Garba Mamadou S Traoré Omar Ndir Raoult C Ratard Louis-Albert Tchuem Tchuenté Thomas K Kristensen Jürg Utzinger Penelope Vounatsou 2011-06-01T00:00:00Z https://doi.org/10.1371/journal.pntd.0001194 https://doaj.org/article/7a0abe0ca4f54279aa7f82340b50ff29 EN eng Public Library of Science (PLoS) http://europepmc.org/articles/PMC3114755?pdf=render https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 doi:10.1371/journal.pntd.0001194 https://doaj.org/article/7a0abe0ca4f54279aa7f82340b50ff29 PLoS Neglected Tropical Diseases, Vol 5, Iss 6, p e1194 (2011) Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 article 2011 ftdoajarticles https://doi.org/10.1371/journal.pntd.0001194 2022-12-31T10:44:51Z BACKGROUND: Schistosomiasis is a water-based disease that is believed to affect over 200 million people with an estimated 97% of the infections concentrated in Africa. However, these statistics are largely based on population re-adjusted data originally published by Utroska and colleagues more than 20 years ago. Hence, these estimates are outdated due to large-scale preventive chemotherapy programs, improved sanitation, water resources development and management, among other reasons. For planning, coordination, and evaluation of control activities, it is essential to possess reliable schistosomiasis prevalence maps. METHODOLOGY: We analyzed survey data compiled on a newly established open-access global neglected tropical diseases database (i) to create smooth empirical prevalence maps for Schistosoma mansoni and S. haematobium for individuals aged ≤ 20 years in West Africa, including Cameroon, and (ii) to derive country-specific prevalence estimates. We used Bayesian geostatistical models based on environmental predictors to take into account potential clustering due to common spatially structured exposures. Prediction at unobserved locations was facilitated by joint kriging. PRINCIPAL FINDINGS: Our models revealed that 50.8 million individuals aged ≤ 20 years in West Africa are infected with either S. mansoni, or S. haematobium, or both species concurrently. The country prevalence estimates ranged between 0.5% (The Gambia) and 37.1% (Liberia) for S. mansoni, and between 17.6% (The Gambia) and 51.6% (Sierra Leone) for S. haematobium. We observed that the combined prevalence for both schistosome species is two-fold lower in Gambia than previously reported, while we found an almost two-fold higher estimate for Liberia (58.3%) than reported before (30.0%). Our predictions are likely to overestimate overall country prevalence, since modeling was based on children and adolescents up to the age of 20 years who are at highest risk of infection. CONCLUSION/SIGNIFICANCE: We present the first empirical estimates for S. ... Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic PLoS Neglected Tropical Diseases 5 6 e1194
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Arctic medicine. Tropical medicine
RC955-962
Public aspects of medicine
RA1-1270
spellingShingle Arctic medicine. Tropical medicine
RC955-962
Public aspects of medicine
RA1-1270
Nadine Schur
Eveline Hürlimann
Amadou Garba
Mamadou S Traoré
Omar Ndir
Raoult C Ratard
Louis-Albert Tchuem Tchuenté
Thomas K Kristensen
Jürg Utzinger
Penelope Vounatsou
Geostatistical model-based estimates of Schistosomiasis prevalence among individuals aged ≤ 20 years in West Africa.
topic_facet Arctic medicine. Tropical medicine
RC955-962
Public aspects of medicine
RA1-1270
description BACKGROUND: Schistosomiasis is a water-based disease that is believed to affect over 200 million people with an estimated 97% of the infections concentrated in Africa. However, these statistics are largely based on population re-adjusted data originally published by Utroska and colleagues more than 20 years ago. Hence, these estimates are outdated due to large-scale preventive chemotherapy programs, improved sanitation, water resources development and management, among other reasons. For planning, coordination, and evaluation of control activities, it is essential to possess reliable schistosomiasis prevalence maps. METHODOLOGY: We analyzed survey data compiled on a newly established open-access global neglected tropical diseases database (i) to create smooth empirical prevalence maps for Schistosoma mansoni and S. haematobium for individuals aged ≤ 20 years in West Africa, including Cameroon, and (ii) to derive country-specific prevalence estimates. We used Bayesian geostatistical models based on environmental predictors to take into account potential clustering due to common spatially structured exposures. Prediction at unobserved locations was facilitated by joint kriging. PRINCIPAL FINDINGS: Our models revealed that 50.8 million individuals aged ≤ 20 years in West Africa are infected with either S. mansoni, or S. haematobium, or both species concurrently. The country prevalence estimates ranged between 0.5% (The Gambia) and 37.1% (Liberia) for S. mansoni, and between 17.6% (The Gambia) and 51.6% (Sierra Leone) for S. haematobium. We observed that the combined prevalence for both schistosome species is two-fold lower in Gambia than previously reported, while we found an almost two-fold higher estimate for Liberia (58.3%) than reported before (30.0%). Our predictions are likely to overestimate overall country prevalence, since modeling was based on children and adolescents up to the age of 20 years who are at highest risk of infection. CONCLUSION/SIGNIFICANCE: We present the first empirical estimates for S. ...
format Article in Journal/Newspaper
author Nadine Schur
Eveline Hürlimann
Amadou Garba
Mamadou S Traoré
Omar Ndir
Raoult C Ratard
Louis-Albert Tchuem Tchuenté
Thomas K Kristensen
Jürg Utzinger
Penelope Vounatsou
author_facet Nadine Schur
Eveline Hürlimann
Amadou Garba
Mamadou S Traoré
Omar Ndir
Raoult C Ratard
Louis-Albert Tchuem Tchuenté
Thomas K Kristensen
Jürg Utzinger
Penelope Vounatsou
author_sort Nadine Schur
title Geostatistical model-based estimates of Schistosomiasis prevalence among individuals aged ≤ 20 years in West Africa.
title_short Geostatistical model-based estimates of Schistosomiasis prevalence among individuals aged ≤ 20 years in West Africa.
title_full Geostatistical model-based estimates of Schistosomiasis prevalence among individuals aged ≤ 20 years in West Africa.
title_fullStr Geostatistical model-based estimates of Schistosomiasis prevalence among individuals aged ≤ 20 years in West Africa.
title_full_unstemmed Geostatistical model-based estimates of Schistosomiasis prevalence among individuals aged ≤ 20 years in West Africa.
title_sort geostatistical model-based estimates of schistosomiasis prevalence among individuals aged ≤ 20 years in west africa.
publisher Public Library of Science (PLoS)
publishDate 2011
url https://doi.org/10.1371/journal.pntd.0001194
https://doaj.org/article/7a0abe0ca4f54279aa7f82340b50ff29
geographic Arctic
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genre Arctic
genre_facet Arctic
op_source PLoS Neglected Tropical Diseases, Vol 5, Iss 6, p e1194 (2011)
op_relation http://europepmc.org/articles/PMC3114755?pdf=render
https://doaj.org/toc/1935-2727
https://doaj.org/toc/1935-2735
1935-2727
1935-2735
doi:10.1371/journal.pntd.0001194
https://doaj.org/article/7a0abe0ca4f54279aa7f82340b50ff29
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