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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,...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2017
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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. |
format | Online Article Text |
id | pubmed-5668927 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
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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