Modelling the spatial distribution of mycetoma in Sudan.
Sudan
ensemble models
environmental modelling
machine learning
mycetoma
Journal
Transactions of the Royal Society of Tropical Medicine and Hygiene
ISSN: 1878-3503
Titre abrégé: Trans R Soc Trop Med Hyg
Pays: England
ID NLM: 7506129
Informations de publication
Date de publication:
01 10 2021
01 10 2021
Historique:
received:
17
03
2021
revised:
18
04
2021
accepted:
26
04
2021
pubmed:
27
5
2021
medline:
30
1
2022
entrez:
26
5
2021
Statut:
ppublish
Résumé
Mycetoma is a neglected tropical disease that is reported worldwide and Sudan has the highest reported number of mycetoma infections across the globe. The incidence, prevalence and burden of mycetoma globally are not precisely known and its risk factors remain largely unelucidated. This study aimed to identify the environmental predictors of fungal and bacterial mycetoma in Sudan and to identify areas of the country where these niche predictors are met. Demographic and clinical data from confirmed mycetoma patients seen at the Mycetoma Research Centre from 1991 to 2018 were included in this study. Regression and machine learning techniques were used to model the relationships between mycetoma occurrence in Sudan and environmental predictors. The strongest predictors of mycetoma occurrence were aridity, proximity to water, low soil calcium and sodium concentrations and the distribution of various species of thorny trees. The models predicted the occurrence of eumycetoma and actinomycetoma in the central and southeastern states of Sudan and along the Nile river valley and its tributaries. Our results showed that the risk of mycetoma in Sudan varies geographically and is linked to identifiable environmental risk factors. Suitability maps are intended to guide health authorities, academic institutes and organisations involved in planning national scale surveys for early case detection and management, leading to better patient treatment, prevention and control of mycetoma.
Sections du résumé
BACKGROUND
Mycetoma is a neglected tropical disease that is reported worldwide and Sudan has the highest reported number of mycetoma infections across the globe. The incidence, prevalence and burden of mycetoma globally are not precisely known and its risk factors remain largely unelucidated.
METHODS
This study aimed to identify the environmental predictors of fungal and bacterial mycetoma in Sudan and to identify areas of the country where these niche predictors are met. Demographic and clinical data from confirmed mycetoma patients seen at the Mycetoma Research Centre from 1991 to 2018 were included in this study. Regression and machine learning techniques were used to model the relationships between mycetoma occurrence in Sudan and environmental predictors.
RESULTS
The strongest predictors of mycetoma occurrence were aridity, proximity to water, low soil calcium and sodium concentrations and the distribution of various species of thorny trees. The models predicted the occurrence of eumycetoma and actinomycetoma in the central and southeastern states of Sudan and along the Nile river valley and its tributaries.
CONCLUSION
Our results showed that the risk of mycetoma in Sudan varies geographically and is linked to identifiable environmental risk factors. Suitability maps are intended to guide health authorities, academic institutes and organisations involved in planning national scale surveys for early case detection and management, leading to better patient treatment, prevention and control of mycetoma.
Identifiants
pubmed: 34037803
pii: 6284823
doi: 10.1093/trstmh/trab076
pmc: PMC8486737
doi:
Substances chimiques
Soil
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1144-1152Subventions
Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : World Health Organization
ID : 001
Pays : International
Organisme : Wellcome Trust
ID : 201900/Z/16/Z
Pays : United Kingdom
Organisme : Department of Health
Pays : United Kingdom
Informations de copyright
© The Author(s) 2021. Published by Oxford University Press on behalf of Royal Society of Tropical Medicine and Hygiene.
Références
Bull Soc Pathol Exot. 2005 Apr;98(1):18-20
pubmed: 15915967
PLoS Negl Trop Dis. 2015 Mar 27;9(3):e0003679
pubmed: 25816316
Trans R Soc Trop Med Hyg. 2015 Mar;109(3):169-70
pubmed: 25667234
Clin Dermatol. 2007 Mar-Apr;25(2):195-202
pubmed: 17350499
Nature. 2013 Apr 25;496(7446):504-7
pubmed: 23563266
PLoS Negl Trop Dis. 2016 Oct 31;10(10):e0005007
pubmed: 27798643
Mycopathologia. 2018 Dec;183(6):961-965
pubmed: 29557534
PLoS Negl Trop Dis. 2020 Apr 29;14(4):e0008240
pubmed: 32348300
PLoS Negl Trop Dis. 2016 Jun 23;10(6):e0004690
pubmed: 27336736
PLoS Negl Trop Dis. 2018 Dec 10;12(12):e0007019
pubmed: 30532253
Indian J Dermatol. 2017 Jul-Aug;62(4):332-340
pubmed: 28794542
PLoS Negl Trop Dis. 2018 May 10;12(5):e0006391
pubmed: 29746460
PLoS One. 2020 May 8;15(5):e0232556
pubmed: 32384126
Lancet Infect Dis. 2004 Sep;4(9):566-74
pubmed: 15336224
PLoS Negl Trop Dis. 2014 Aug 21;8(8):e3102
pubmed: 25144462
Lancet Infect Dis. 2016 Jan;16(1):100-112
pubmed: 26738840
PLoS One. 2020 Apr 24;15(4):e0231871
pubmed: 32330155
PLoS Negl Trop Dis. 2020 Sep 24;14(9):e0008397
pubmed: 32970667
J Antimicrob Chemother. 2020 Apr 1;75(4):936-941
pubmed: 31904836
Int J Dermatol. 2008 Feb;47(2):160-3
pubmed: 18211487
Elife. 2014 Jun 27;3:
pubmed: 24972829
PLoS Negl Trop Dis. 2017 Apr 13;11(4):e0005360
pubmed: 28406907
PLoS Negl Trop Dis. 2014 Mar 27;8(3):e2667
pubmed: 24675533
PLoS Negl Trop Dis. 2013 Nov 07;7(11):e2550
pubmed: 24244780
Philos Trans A Math Phys Eng Sci. 2016 Apr 13;374(2065):20150202
pubmed: 26953178
PLoS Negl Trop Dis. 2019 Aug 29;13(8):e0007056
pubmed: 31465459
PLoS Negl Trop Dis. 2014 Oct 30;8(10):e3271
pubmed: 25356640
PLoS Negl Trop Dis. 2014 Oct 16;8(10):e3250
pubmed: 25330098
Trop Med Infect Dis. 2018 Sep 04;3(3):
pubmed: 30274493
PLoS Negl Trop Dis. 2016 Jan 21;10(1):e0004244
pubmed: 26797103
PLoS Negl Trop Dis. 2014 Oct 16;8(10):e3218
pubmed: 25330342
PLoS Negl Trop Dis. 2015 Mar 13;9(3):e0003587
pubmed: 25768090
PLoS Negl Trop Dis. 2017 Aug 24;11(8):e0005638
pubmed: 28837657
PLoS One. 2013;8(3):e57774
pubmed: 23483927
An Bras Dermatol. 2018 Jan-Feb;93(1):8-18
pubmed: 29641691
Trans R Soc Trop Med Hyg. 2010 Feb;104(2):117-21
pubmed: 19716573