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Predicted distribution and burden of podoconiosis in Cameroon

INTRODUCTION: Understanding the number of cases of podoconiosis, its geographical distribution and the population at risk are crucial to estimating the burden of this disease in endemic countries. We assessed each of these using nationwide data on podoconiosis prevalence in Cameroon. METHODS: We ana...

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Autores principales: Deribe, Kebede, Cano, Jorge, Njouendou, Abdel Jelil, Eyong, Mathias Esum, Beng, Amuam Andrew, Giorgi, Emanuele, Pigott, David M, Pullan, Rachel L, Noor, Abdisalan M, Enquselassie, Fikre, Murray, Christopher J L, Hay, Simon I, Newport, Melanie J, Davey, Gail, Wanji, Samuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6014185/
https://www.ncbi.nlm.nih.gov/pubmed/29946487
http://dx.doi.org/10.1136/bmjgh-2018-000730
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author Deribe, Kebede
Cano, Jorge
Njouendou, Abdel Jelil
Eyong, Mathias Esum
Beng, Amuam Andrew
Giorgi, Emanuele
Pigott, David M
Pullan, Rachel L
Noor, Abdisalan M
Enquselassie, Fikre
Murray, Christopher J L
Hay, Simon I
Newport, Melanie J
Davey, Gail
Wanji, Samuel
author_facet Deribe, Kebede
Cano, Jorge
Njouendou, Abdel Jelil
Eyong, Mathias Esum
Beng, Amuam Andrew
Giorgi, Emanuele
Pigott, David M
Pullan, Rachel L
Noor, Abdisalan M
Enquselassie, Fikre
Murray, Christopher J L
Hay, Simon I
Newport, Melanie J
Davey, Gail
Wanji, Samuel
author_sort Deribe, Kebede
collection PubMed
description INTRODUCTION: Understanding the number of cases of podoconiosis, its geographical distribution and the population at risk are crucial to estimating the burden of this disease in endemic countries. We assessed each of these using nationwide data on podoconiosis prevalence in Cameroon. METHODS: We analysed data arising from two cross-sectional surveys in Cameroon. The dataset was combined with a suite of environmental and climate data and analysed within a robust statistical framework, which included machine learning-based approaches and geostatistical modelling. The environmental limits, spatial variation of predicted prevalence, population at risk and number of cases of podoconiosis were each estimated. RESULTS: A total of 214 729 records of individuals screened for podoconiosis were gathered from 748 communities in all 10 regions of Cameroon. Of these screened individuals, 882 (0.41%; 95% CI 0.38 to 0.44) were living with podoconiosis. High environmental suitability for podoconiosis was predicted in three regions of Cameroon (Adamawa, North West and North). The national population living in areas environmentally suitable for podoconiosis was estimated at 5.2 (95% CI 4.7 to 5.8) million, which corresponds to 22.3% of Cameroon’s population in 2015. Countrywide, in 2015, the number of adults estimated to be suffering from podoconiosis was 41 556 (95% CI, 1170 to 240 993). Four regions (Central, Littoral, North and North West) contributed 61.2% of the cases. CONCLUSION: In Cameroon, podoconiosis is more widely distributed geographically than was initially expected. The number of cases and the population at risk are considerable. Expanding morbidity management and follow-up of cases is of utmost necessity. Promotion of footwear use and regular foot hygiene should be at the forefront of any intervention plan.
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spelling pubmed-60141852018-06-26 Predicted distribution and burden of podoconiosis in Cameroon Deribe, Kebede Cano, Jorge Njouendou, Abdel Jelil Eyong, Mathias Esum Beng, Amuam Andrew Giorgi, Emanuele Pigott, David M Pullan, Rachel L Noor, Abdisalan M Enquselassie, Fikre Murray, Christopher J L Hay, Simon I Newport, Melanie J Davey, Gail Wanji, Samuel BMJ Glob Health Research INTRODUCTION: Understanding the number of cases of podoconiosis, its geographical distribution and the population at risk are crucial to estimating the burden of this disease in endemic countries. We assessed each of these using nationwide data on podoconiosis prevalence in Cameroon. METHODS: We analysed data arising from two cross-sectional surveys in Cameroon. The dataset was combined with a suite of environmental and climate data and analysed within a robust statistical framework, which included machine learning-based approaches and geostatistical modelling. The environmental limits, spatial variation of predicted prevalence, population at risk and number of cases of podoconiosis were each estimated. RESULTS: A total of 214 729 records of individuals screened for podoconiosis were gathered from 748 communities in all 10 regions of Cameroon. Of these screened individuals, 882 (0.41%; 95% CI 0.38 to 0.44) were living with podoconiosis. High environmental suitability for podoconiosis was predicted in three regions of Cameroon (Adamawa, North West and North). The national population living in areas environmentally suitable for podoconiosis was estimated at 5.2 (95% CI 4.7 to 5.8) million, which corresponds to 22.3% of Cameroon’s population in 2015. Countrywide, in 2015, the number of adults estimated to be suffering from podoconiosis was 41 556 (95% CI, 1170 to 240 993). Four regions (Central, Littoral, North and North West) contributed 61.2% of the cases. CONCLUSION: In Cameroon, podoconiosis is more widely distributed geographically than was initially expected. The number of cases and the population at risk are considerable. Expanding morbidity management and follow-up of cases is of utmost necessity. Promotion of footwear use and regular foot hygiene should be at the forefront of any intervention plan. BMJ Publishing Group 2018-06-22 /pmc/articles/PMC6014185/ /pubmed/29946487 http://dx.doi.org/10.1136/bmjgh-2018-000730 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an open access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/
spellingShingle Research
Deribe, Kebede
Cano, Jorge
Njouendou, Abdel Jelil
Eyong, Mathias Esum
Beng, Amuam Andrew
Giorgi, Emanuele
Pigott, David M
Pullan, Rachel L
Noor, Abdisalan M
Enquselassie, Fikre
Murray, Christopher J L
Hay, Simon I
Newport, Melanie J
Davey, Gail
Wanji, Samuel
Predicted distribution and burden of podoconiosis in Cameroon
title Predicted distribution and burden of podoconiosis in Cameroon
title_full Predicted distribution and burden of podoconiosis in Cameroon
title_fullStr Predicted distribution and burden of podoconiosis in Cameroon
title_full_unstemmed Predicted distribution and burden of podoconiosis in Cameroon
title_short Predicted distribution and burden of podoconiosis in Cameroon
title_sort predicted distribution and burden of podoconiosis in cameroon
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6014185/
https://www.ncbi.nlm.nih.gov/pubmed/29946487
http://dx.doi.org/10.1136/bmjgh-2018-000730
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