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Estimating the number of cases of podoconiosis in Ethiopia using geostatistical methods

Background: In 2011, the World Health Organization recognized podoconiosis as one of the neglected tropical diseases. Nonetheless, the  magnitude of podoconiosis and the geographical distribution of the disease is poorly understood. Based on a nationwide mapping survey and geostatistical modelling,...

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Autores principales: Deribe, Kebede, Cano, Jorge, Giorgi, Emanuele, Pigott, David M., Golding, Nick, Pullan, Rachel L., Noor, Abdisalan M., Cromwell, Elizabeth A., Osgood‐Zimmerman, Aaron, Enquselassie, Fikre, Hailu, Asrat, Murray, Christopher J. L., Newport, Melanie J., Brooker, Simon J., Hay, Simon I., Davey, Gail
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5668927/
https://www.ncbi.nlm.nih.gov/pubmed/29152596
http://dx.doi.org/10.12688/wellcomeopenres.12483.2
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author Deribe, Kebede
Cano, Jorge
Giorgi, Emanuele
Pigott, David M.
Golding, Nick
Pullan, Rachel L.
Noor, Abdisalan M.
Cromwell, Elizabeth A.
Osgood‐Zimmerman, Aaron
Enquselassie, Fikre
Hailu, Asrat
Murray, Christopher J. L.
Newport, Melanie J.
Brooker, Simon J.
Hay, Simon I.
Davey, Gail
author_facet Deribe, Kebede
Cano, Jorge
Giorgi, Emanuele
Pigott, David M.
Golding, Nick
Pullan, Rachel L.
Noor, Abdisalan M.
Cromwell, Elizabeth A.
Osgood‐Zimmerman, Aaron
Enquselassie, Fikre
Hailu, Asrat
Murray, Christopher J. L.
Newport, Melanie J.
Brooker, Simon J.
Hay, Simon I.
Davey, Gail
author_sort Deribe, Kebede
collection PubMed
description Background: In 2011, the World Health Organization recognized podoconiosis as one of the neglected tropical diseases. Nonetheless, the  magnitude of podoconiosis and the geographical distribution of the disease is poorly understood. Based on a nationwide mapping survey and geostatistical modelling, we predict the prevalence of podoconiosis and estimate the number of cases across Ethiopia. Methods: We used nationwide data collected in Ethiopia between 2008 and 2013. Data were available for 141,238 individuals from 1,442 communities in 775 districts from all nine regional states and two city administrations. We developed a geostatistical model of podoconiosis prevalence among adults (individuals aged 15 years or above), by combining environmental factors. The number of people with podoconiosis was then estimated using a gridded map of adult population density for 2015. Results: Podoconiosis is endemic in 345 districts in Ethiopia: 144 in Oromia, 128 in Southern Nations, Nationalities and People’s [SNNP], 64 in Amhara, 4 in Benishangul Gumuz, 4 in Tigray and 1 in Somali Regional State. Nationally, our estimates suggest that 1,537,963 adults (95% confidence intervals, 290,923-4,577,031 adults) were living with podoconiosis in 2015. Three regions (SNNP, Oromia and Amhara) contributed 99% of the cases. The highest proportion of individuals with podoconiosis resided in the SNNP (39%), while 32% and 29% of people with podoconiosis resided in Oromia and Amhara Regional States, respectively. Tigray and Benishangul Gumuz Regional States bore lower burdens, and in the remaining regions, podoconiosis was almost non-existent.  Conclusions: The estimates of podoconiosis cases presented here based upon the combination of currently available epidemiological data and a robust modelling approach clearly show that podoconiosis is highly endemic in Ethiopia. Given the presence of low cost prevention, and morbidity management and disability prevention services, it is our collective responsibility to scale-up interventions rapidly.
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spelling pubmed-56689272017-11-17 Estimating the number of cases of podoconiosis in Ethiopia using geostatistical methods Deribe, Kebede Cano, Jorge Giorgi, Emanuele Pigott, David M. Golding, Nick Pullan, Rachel L. Noor, Abdisalan M. Cromwell, Elizabeth A. Osgood‐Zimmerman, Aaron Enquselassie, Fikre Hailu, Asrat Murray, Christopher J. L. Newport, Melanie J. Brooker, Simon J. Hay, Simon I. Davey, Gail Wellcome Open Res Research Article Background: In 2011, the World Health Organization recognized podoconiosis as one of the neglected tropical diseases. Nonetheless, the  magnitude of podoconiosis and the geographical distribution of the disease is poorly understood. Based on a nationwide mapping survey and geostatistical modelling, we predict the prevalence of podoconiosis and estimate the number of cases across Ethiopia. Methods: We used nationwide data collected in Ethiopia between 2008 and 2013. Data were available for 141,238 individuals from 1,442 communities in 775 districts from all nine regional states and two city administrations. We developed a geostatistical model of podoconiosis prevalence among adults (individuals aged 15 years or above), by combining environmental factors. The number of people with podoconiosis was then estimated using a gridded map of adult population density for 2015. Results: Podoconiosis is endemic in 345 districts in Ethiopia: 144 in Oromia, 128 in Southern Nations, Nationalities and People’s [SNNP], 64 in Amhara, 4 in Benishangul Gumuz, 4 in Tigray and 1 in Somali Regional State. Nationally, our estimates suggest that 1,537,963 adults (95% confidence intervals, 290,923-4,577,031 adults) were living with podoconiosis in 2015. Three regions (SNNP, Oromia and Amhara) contributed 99% of the cases. The highest proportion of individuals with podoconiosis resided in the SNNP (39%), while 32% and 29% of people with podoconiosis resided in Oromia and Amhara Regional States, respectively. Tigray and Benishangul Gumuz Regional States bore lower burdens, and in the remaining regions, podoconiosis was almost non-existent.  Conclusions: The estimates of podoconiosis cases presented here based upon the combination of currently available epidemiological data and a robust modelling approach clearly show that podoconiosis is highly endemic in Ethiopia. Given the presence of low cost prevention, and morbidity management and disability prevention services, it is our collective responsibility to scale-up interventions rapidly. F1000 Research Limited 2017-12-15 /pmc/articles/PMC5668927/ /pubmed/29152596 http://dx.doi.org/10.12688/wellcomeopenres.12483.2 Text en Copyright: © 2017 Deribe K et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Deribe, Kebede
Cano, Jorge
Giorgi, Emanuele
Pigott, David M.
Golding, Nick
Pullan, Rachel L.
Noor, Abdisalan M.
Cromwell, Elizabeth A.
Osgood‐Zimmerman, Aaron
Enquselassie, Fikre
Hailu, Asrat
Murray, Christopher J. L.
Newport, Melanie J.
Brooker, Simon J.
Hay, Simon I.
Davey, Gail
Estimating the number of cases of podoconiosis in Ethiopia using geostatistical methods
title Estimating the number of cases of podoconiosis in Ethiopia using geostatistical methods
title_full Estimating the number of cases of podoconiosis in Ethiopia using geostatistical methods
title_fullStr Estimating the number of cases of podoconiosis in Ethiopia using geostatistical methods
title_full_unstemmed Estimating the number of cases of podoconiosis in Ethiopia using geostatistical methods
title_short Estimating the number of cases of podoconiosis in Ethiopia using geostatistical methods
title_sort estimating the number of cases of podoconiosis in ethiopia using geostatistical methods
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5668927/
https://www.ncbi.nlm.nih.gov/pubmed/29152596
http://dx.doi.org/10.12688/wellcomeopenres.12483.2
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