Spatial and temporal distribution of Taenia solium and its risk factors in Uganda

Background The lack of sub-national mapping of the zoonotic cestode Taenia solium in endemic countries presents a major challenge to achieving intensified T. solium control milestones, as outlined in the “World Health Organization neglected tropical disease roadmap by 2030”. We conducted a mapping...

Descripción completa

Detalles Bibliográficos
Autores principales: Ngwili, Nicholas, Sentamu, Derrick N., Korir, M., Adriko, M., Beinamaryo, P., Dione, Michel M., Kaducu, J.M., Mubangizi, A., Mwinzi, P.N., Thomas, Lian F., Dixon, M.A.
Formato: Journal Article
Lenguaje:Inglés
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://hdl.handle.net/10568/129050
_version_ 1855540653131300864
author Ngwili, Nicholas
Sentamu, Derrick N.
Korir, M.
Adriko, M.
Beinamaryo, P.
Dione, Michel M.
Kaducu, J.M.
Mubangizi, A.
Mwinzi, P.N.
Thomas, Lian F.
Dixon, M.A.
author_browse Adriko, M.
Beinamaryo, P.
Dione, Michel M.
Dixon, M.A.
Kaducu, J.M.
Korir, M.
Mubangizi, A.
Mwinzi, P.N.
Ngwili, Nicholas
Sentamu, Derrick N.
Thomas, Lian F.
author_facet Ngwili, Nicholas
Sentamu, Derrick N.
Korir, M.
Adriko, M.
Beinamaryo, P.
Dione, Michel M.
Kaducu, J.M.
Mubangizi, A.
Mwinzi, P.N.
Thomas, Lian F.
Dixon, M.A.
author_sort Ngwili, Nicholas
collection Repository of Agricultural Research Outputs (CGSpace)
description Background The lack of sub-national mapping of the zoonotic cestode Taenia solium in endemic countries presents a major challenge to achieving intensified T. solium control milestones, as outlined in the “World Health Organization neglected tropical disease roadmap by 2030”. We conducted a mapping study in Uganda, considered to be endemic, to identify sub-national high-risk areas. Methods T. solium prevalence data, adjusted for diagnostic sensitivity and specificity in a Bayesian Framework, were identified through a systematic review. Spatial autocorrelation and interpolation techniques were used to transform Demographic and Health Survey cluster-level sanitation and poverty indicators, overlaid onto a pig density map for Uganda into modelled porcine cysticercosis (PCC) risk maps. Findings Sixteen articles (n = 11 PCC and n = 5 human cysticercosis (HCC) and/or human taeniasis) were included in the final analysis. HCC observed prevalence ranged from 0.01% – 6.0 % (Confidence Interval (CI) range: 0.004 – 11.4%), while adjusted PCC ranged from 0.3 – 93.9% (uncertainty interval range: 0 – 99.8%). There was substantial variation in the modelled PCC risk factors and prevalence across Uganda and over time. Interpretation High PCC prevalence and moderate HCC exposure estimates indicate the need for urgent implementation of T. solium control efforts in Uganda.
format Journal Article
id CGSpace129050
institution CGIAR Consortium
language Inglés
publishDate 2023
publishDateRange 2023
publishDateSort 2023
publisher Elsevier
publisherStr Elsevier
record_format dspace
spelling CGSpace1290502023-12-08T19:36:04Z Spatial and temporal distribution of Taenia solium and its risk factors in Uganda Ngwili, Nicholas Sentamu, Derrick N. Korir, M. Adriko, M. Beinamaryo, P. Dione, Michel M. Kaducu, J.M. Mubangizi, A. Mwinzi, P.N. Thomas, Lian F. Dixon, M.A. zoonoses one health approach Background The lack of sub-national mapping of the zoonotic cestode Taenia solium in endemic countries presents a major challenge to achieving intensified T. solium control milestones, as outlined in the “World Health Organization neglected tropical disease roadmap by 2030”. We conducted a mapping study in Uganda, considered to be endemic, to identify sub-national high-risk areas. Methods T. solium prevalence data, adjusted for diagnostic sensitivity and specificity in a Bayesian Framework, were identified through a systematic review. Spatial autocorrelation and interpolation techniques were used to transform Demographic and Health Survey cluster-level sanitation and poverty indicators, overlaid onto a pig density map for Uganda into modelled porcine cysticercosis (PCC) risk maps. Findings Sixteen articles (n = 11 PCC and n = 5 human cysticercosis (HCC) and/or human taeniasis) were included in the final analysis. HCC observed prevalence ranged from 0.01% – 6.0 % (Confidence Interval (CI) range: 0.004 – 11.4%), while adjusted PCC ranged from 0.3 – 93.9% (uncertainty interval range: 0 – 99.8%). There was substantial variation in the modelled PCC risk factors and prevalence across Uganda and over time. Interpretation High PCC prevalence and moderate HCC exposure estimates indicate the need for urgent implementation of T. solium control efforts in Uganda. 2023-04 2023-02-26T13:05:16Z 2023-02-26T13:05:16Z Journal Article https://hdl.handle.net/10568/129050 en Open Access Elsevier Ngwili, N., Sentamu, D.N., Korir, M., Adriko, M., Beinamaryo, P., Dione, M.M., Kaducu, J.M., Mubangizi, A., Mwinzi, P.N., Thomas, L.F. and Dixon, M.A. 2023. Spatial and temporal distribution of Taenia solium and its risk factors in Uganda. International Journal of Infectious Diseases 129: 274–284.
spellingShingle zoonoses
one health approach
Ngwili, Nicholas
Sentamu, Derrick N.
Korir, M.
Adriko, M.
Beinamaryo, P.
Dione, Michel M.
Kaducu, J.M.
Mubangizi, A.
Mwinzi, P.N.
Thomas, Lian F.
Dixon, M.A.
Spatial and temporal distribution of Taenia solium and its risk factors in Uganda
title Spatial and temporal distribution of Taenia solium and its risk factors in Uganda
title_full Spatial and temporal distribution of Taenia solium and its risk factors in Uganda
title_fullStr Spatial and temporal distribution of Taenia solium and its risk factors in Uganda
title_full_unstemmed Spatial and temporal distribution of Taenia solium and its risk factors in Uganda
title_short Spatial and temporal distribution of Taenia solium and its risk factors in Uganda
title_sort spatial and temporal distribution of taenia solium and its risk factors in uganda
topic zoonoses
one health approach
url https://hdl.handle.net/10568/129050
work_keys_str_mv AT ngwilinicholas spatialandtemporaldistributionoftaeniasoliumanditsriskfactorsinuganda
AT sentamuderrickn spatialandtemporaldistributionoftaeniasoliumanditsriskfactorsinuganda
AT korirm spatialandtemporaldistributionoftaeniasoliumanditsriskfactorsinuganda
AT adrikom spatialandtemporaldistributionoftaeniasoliumanditsriskfactorsinuganda
AT beinamaryop spatialandtemporaldistributionoftaeniasoliumanditsriskfactorsinuganda
AT dionemichelm spatialandtemporaldistributionoftaeniasoliumanditsriskfactorsinuganda
AT kaducujm spatialandtemporaldistributionoftaeniasoliumanditsriskfactorsinuganda
AT mubangizia spatialandtemporaldistributionoftaeniasoliumanditsriskfactorsinuganda
AT mwinzipn spatialandtemporaldistributionoftaeniasoliumanditsriskfactorsinuganda
AT thomaslianf spatialandtemporaldistributionoftaeniasoliumanditsriskfactorsinuganda
AT dixonma spatialandtemporaldistributionoftaeniasoliumanditsriskfactorsinuganda