Schistosoma haematobium infection and environmental factors in Southwestern Tanzania: A cross-sectional, population-based study.
Schistosomiasis is a leading cause of morbidity in Africa. Understanding the disease ecology and environmental factors that influence its distribution is important to guide control efforts. Geographic information systems have increasingly been used in the field of schistosomiasis environmental epide...
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ftdoajarticles:oai:doaj.org/article:0546222bba8a4fa9b9148915e44de8b6 2023-05-15T15:16:15+02:00 Schistosoma haematobium infection and environmental factors in Southwestern Tanzania: A cross-sectional, population-based study. Kirsi M Manz Inge Kroidl Petra Clowes Martina Gerhardt Wilbrod Nyembe Lucas Maganga Weston Assisya Nyanda E Ntinginya Ursula Berger Michael Hoelscher Elmar Saathoff 2020-08-01T00:00:00Z https://doi.org/10.1371/journal.pntd.0008508 https://doaj.org/article/0546222bba8a4fa9b9148915e44de8b6 EN eng Public Library of Science (PLoS) https://doi.org/10.1371/journal.pntd.0008508 https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 doi:10.1371/journal.pntd.0008508 https://doaj.org/article/0546222bba8a4fa9b9148915e44de8b6 PLoS Neglected Tropical Diseases, Vol 14, Iss 8, p e0008508 (2020) Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 article 2020 ftdoajarticles https://doi.org/10.1371/journal.pntd.0008508 2022-12-31T07:16:57Z Schistosomiasis is a leading cause of morbidity in Africa. Understanding the disease ecology and environmental factors that influence its distribution is important to guide control efforts. Geographic information systems have increasingly been used in the field of schistosomiasis environmental epidemiology. This study reports prevalences of Schistosoma haematobium infection and uses remotely sensed and questionnaire data from over 17000 participants to identify environmental and socio-demographic factors that are associated with this parasitic infection. Data regarding socio-demographic status and S. haematobium infection were obtained between May 2006 and May 2007 from 17280 participants (53% females, median age = 17 years) in the Mbeya Region, Tanzania. Combined with remotely sensed environmental data (vegetation cover, altitude, rainfall etc.) this data was analyzed to identify environmental and socio-demographic factors associated with S. haematobium infection, using mixed effects logistic regression and geostatistical modelling. The overall prevalence of S. haematobium infection was 5.3% (95% confidence interval (CI): 5.0-5.6%). Multivariable analysis revealed increased odds of infection for school-aged children (5-15 years, odds ratio (OR) = 7.8, CI: 5.9-10.4) and the age groups 15-25 and 25-35 years (15-25 years: OR = 5.8, CI: 4.3-8.0, 25-35 years: OR = 1.6, CI: 1.1-2.4) compared to persons above 35 years of age, for increasing distance to water courses (OR = 1.4, CI: 1.2-1.6 per km) and for proximity to Lake Nyasa (<1 km, OR = 4.5, CI: 1.8-11.4; 1-2 km, OR = 3.5, CI: 1.7-7.5; 2-4 km; OR = 3.3, CI: 1.7-6.6), when compared to distances >4 km. Odds of infection decreased with higher altitude (OR = 0.7, CI: 0.6-0.8 per 100 m increase) and with increasing enhanced vegetation index EVI (OR = 0.2, CI: 0.1-0.4 per 0.1 units). When additionally adjusting for spatial correlation population density became a significant predictor of schistosomiasis infection (OR = 1.3, CI: 1.1-1.5 per 1000 persons/km2) and ... Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic PLOS Neglected Tropical Diseases 14 8 e0008508 |
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English |
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Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
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Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 Kirsi M Manz Inge Kroidl Petra Clowes Martina Gerhardt Wilbrod Nyembe Lucas Maganga Weston Assisya Nyanda E Ntinginya Ursula Berger Michael Hoelscher Elmar Saathoff Schistosoma haematobium infection and environmental factors in Southwestern Tanzania: A cross-sectional, population-based study. |
topic_facet |
Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
description |
Schistosomiasis is a leading cause of morbidity in Africa. Understanding the disease ecology and environmental factors that influence its distribution is important to guide control efforts. Geographic information systems have increasingly been used in the field of schistosomiasis environmental epidemiology. This study reports prevalences of Schistosoma haematobium infection and uses remotely sensed and questionnaire data from over 17000 participants to identify environmental and socio-demographic factors that are associated with this parasitic infection. Data regarding socio-demographic status and S. haematobium infection were obtained between May 2006 and May 2007 from 17280 participants (53% females, median age = 17 years) in the Mbeya Region, Tanzania. Combined with remotely sensed environmental data (vegetation cover, altitude, rainfall etc.) this data was analyzed to identify environmental and socio-demographic factors associated with S. haematobium infection, using mixed effects logistic regression and geostatistical modelling. The overall prevalence of S. haematobium infection was 5.3% (95% confidence interval (CI): 5.0-5.6%). Multivariable analysis revealed increased odds of infection for school-aged children (5-15 years, odds ratio (OR) = 7.8, CI: 5.9-10.4) and the age groups 15-25 and 25-35 years (15-25 years: OR = 5.8, CI: 4.3-8.0, 25-35 years: OR = 1.6, CI: 1.1-2.4) compared to persons above 35 years of age, for increasing distance to water courses (OR = 1.4, CI: 1.2-1.6 per km) and for proximity to Lake Nyasa (<1 km, OR = 4.5, CI: 1.8-11.4; 1-2 km, OR = 3.5, CI: 1.7-7.5; 2-4 km; OR = 3.3, CI: 1.7-6.6), when compared to distances >4 km. Odds of infection decreased with higher altitude (OR = 0.7, CI: 0.6-0.8 per 100 m increase) and with increasing enhanced vegetation index EVI (OR = 0.2, CI: 0.1-0.4 per 0.1 units). When additionally adjusting for spatial correlation population density became a significant predictor of schistosomiasis infection (OR = 1.3, CI: 1.1-1.5 per 1000 persons/km2) and ... |
format |
Article in Journal/Newspaper |
author |
Kirsi M Manz Inge Kroidl Petra Clowes Martina Gerhardt Wilbrod Nyembe Lucas Maganga Weston Assisya Nyanda E Ntinginya Ursula Berger Michael Hoelscher Elmar Saathoff |
author_facet |
Kirsi M Manz Inge Kroidl Petra Clowes Martina Gerhardt Wilbrod Nyembe Lucas Maganga Weston Assisya Nyanda E Ntinginya Ursula Berger Michael Hoelscher Elmar Saathoff |
author_sort |
Kirsi M Manz |
title |
Schistosoma haematobium infection and environmental factors in Southwestern Tanzania: A cross-sectional, population-based study. |
title_short |
Schistosoma haematobium infection and environmental factors in Southwestern Tanzania: A cross-sectional, population-based study. |
title_full |
Schistosoma haematobium infection and environmental factors in Southwestern Tanzania: A cross-sectional, population-based study. |
title_fullStr |
Schistosoma haematobium infection and environmental factors in Southwestern Tanzania: A cross-sectional, population-based study. |
title_full_unstemmed |
Schistosoma haematobium infection and environmental factors in Southwestern Tanzania: A cross-sectional, population-based study. |
title_sort |
schistosoma haematobium infection and environmental factors in southwestern tanzania: a cross-sectional, population-based study. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2020 |
url |
https://doi.org/10.1371/journal.pntd.0008508 https://doaj.org/article/0546222bba8a4fa9b9148915e44de8b6 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
PLoS Neglected Tropical Diseases, Vol 14, Iss 8, p e0008508 (2020) |
op_relation |
https://doi.org/10.1371/journal.pntd.0008508 https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 doi:10.1371/journal.pntd.0008508 https://doaj.org/article/0546222bba8a4fa9b9148915e44de8b6 |
op_doi |
https://doi.org/10.1371/journal.pntd.0008508 |
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PLOS Neglected Tropical Diseases |
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