Analysis of risk factors for T. brucei rhodesiense sleeping sickness within villages in south-east Uganda

Sleeping sickness (HAT) caused byT.b. rhodesienseis a major veterinary and human public health problem in Uganda. Previous studies have investigated spatial risk factors forT.b. rhodesienseat large geographic scales, but none have properly investigated such risk factors at small scales, i.e. within...

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Autores principales: Zoller, T., Fèvre, Eric M., Welburn, S.C., Odiit, M., Coleman, P.G.
Formato: Journal Article
Lenguaje:Inglés
Publicado: Springer 2008
Materias:
Acceso en línea:https://hdl.handle.net/10568/61859
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author Zoller, T.
Fèvre, Eric M.
Welburn, S.C.
Odiit, M.
Coleman, P.G.
author_browse Coleman, P.G.
Fèvre, Eric M.
Odiit, M.
Welburn, S.C.
Zoller, T.
author_facet Zoller, T.
Fèvre, Eric M.
Welburn, S.C.
Odiit, M.
Coleman, P.G.
author_sort Zoller, T.
collection Repository of Agricultural Research Outputs (CGSpace)
description Sleeping sickness (HAT) caused byT.b. rhodesienseis a major veterinary and human public health problem in Uganda. Previous studies have investigated spatial risk factors forT.b. rhodesienseat large geographic scales, but none have properly investigated such risk factors at small scales, i.e. within affected villages. In the present work, we use a case-control methodology to analyse both behavioural and spatial risk factors for HAT in an endemic area.The present study investigates behavioural and occupational risk factors for infection with HAT within villages using a questionnaire-based case-control study conducted in 17 villages endemic for HAT in SE Uganda, and spatial risk factors in 4 high risk villages. For the spatial analysis, the location of homesteads with one or more cases of HAT up to three years prior to the beginning of the study was compared to all non-case homesteads. Analysing spatial associations with respect to irregularly shaped geographical objects required the development of a new approach to geographical analysis in combination with a logistic regression model.The study was able to identify, among other behavioural risk factors, having a family member with a history of HAT (p = 0.001) as well as proximity of a homestead to a nearby wetland area (p < 0.001) as strong risk factors for infection. The novel method of analysing complex spatial interactions used in the study can be applied to a range of other diseases.Spatial risk factors for HAT are maintained across geographical scales; this consistency is useful in the design of decision support tools for intervention and prevention of the disease. Familial aggregation of cases was confirmed forT. b. rhodesienseHAT in the study and probably results from shared behavioural and spatial risk factors amongmembers of a household.
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spelling CGSpace618592024-05-01T08:15:18Z Analysis of risk factors for T. brucei rhodesiense sleeping sickness within villages in south-east Uganda Zoller, T. Fèvre, Eric M. Welburn, S.C. Odiit, M. Coleman, P.G. trypanosomiasis animal diseases livestock infectious diseases Sleeping sickness (HAT) caused byT.b. rhodesienseis a major veterinary and human public health problem in Uganda. Previous studies have investigated spatial risk factors forT.b. rhodesienseat large geographic scales, but none have properly investigated such risk factors at small scales, i.e. within affected villages. In the present work, we use a case-control methodology to analyse both behavioural and spatial risk factors for HAT in an endemic area.The present study investigates behavioural and occupational risk factors for infection with HAT within villages using a questionnaire-based case-control study conducted in 17 villages endemic for HAT in SE Uganda, and spatial risk factors in 4 high risk villages. For the spatial analysis, the location of homesteads with one or more cases of HAT up to three years prior to the beginning of the study was compared to all non-case homesteads. Analysing spatial associations with respect to irregularly shaped geographical objects required the development of a new approach to geographical analysis in combination with a logistic regression model.The study was able to identify, among other behavioural risk factors, having a family member with a history of HAT (p = 0.001) as well as proximity of a homestead to a nearby wetland area (p < 0.001) as strong risk factors for infection. The novel method of analysing complex spatial interactions used in the study can be applied to a range of other diseases.Spatial risk factors for HAT are maintained across geographical scales; this consistency is useful in the design of decision support tools for intervention and prevention of the disease. Familial aggregation of cases was confirmed forT. b. rhodesienseHAT in the study and probably results from shared behavioural and spatial risk factors amongmembers of a household. 2008-12 2015-03-25T09:09:37Z 2015-03-25T09:09:37Z Journal Article https://hdl.handle.net/10568/61859 en Open Access Springer Biomed Central Infectious Diseases;8:88.
spellingShingle trypanosomiasis
animal diseases
livestock
infectious diseases
Zoller, T.
Fèvre, Eric M.
Welburn, S.C.
Odiit, M.
Coleman, P.G.
Analysis of risk factors for T. brucei rhodesiense sleeping sickness within villages in south-east Uganda
title Analysis of risk factors for T. brucei rhodesiense sleeping sickness within villages in south-east Uganda
title_full Analysis of risk factors for T. brucei rhodesiense sleeping sickness within villages in south-east Uganda
title_fullStr Analysis of risk factors for T. brucei rhodesiense sleeping sickness within villages in south-east Uganda
title_full_unstemmed Analysis of risk factors for T. brucei rhodesiense sleeping sickness within villages in south-east Uganda
title_short Analysis of risk factors for T. brucei rhodesiense sleeping sickness within villages in south-east Uganda
title_sort analysis of risk factors for t brucei rhodesiense sleeping sickness within villages in south east uganda
topic trypanosomiasis
animal diseases
livestock
infectious diseases
url https://hdl.handle.net/10568/61859
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