Modelling the spatial distribution of mycetoma in Sudan.

ABSTRACT:

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

SUBMITTER: Hassan R 

PROVIDER: S-EPMC8486737 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature