Cutaneous Leishmaniasis in a Conflict-Affected Region of Yemen: A Retrospective Cross-Sectional Clinical and Epidemiological Study from Radfan District

This OSF project contains the de-identified raw dataset and the complete statistical analysis code (R Script) supporting the findings of the manuscript titled: "Cutaneous Leishmaniasis in a Conflict-Affected Region of Yemen: A Retrospective Cross-Sectional Clinical and Epidemiological Characterization from Radfan District," submitted to PLOS Neglected Tropical Diseases. Contents of this repository: 1. Dataset (CSV/Excel): The de-identified raw data of 112 patients. It includes demographic variables (age, sex, residence, sub-district) and clinical variables (clinical form, lesion location, lesion count, lesion nature). The single Diffuse Cutaneous Leishmaniasis (DCL) case is included in the raw dataset but was excluded from all comparative statistical analyses as per reviewer recommendations. 2. Statistical Code (R Script): The complete R code used to generate the descriptive statistics, bivariate analyses, multivariable logistic regression (primary analysis), Generalized Additive Model (GAM), Random Forest analysis, and E-value calculations. Data Availability Statement: The data and code are openly available in this OSF repository to ensure full transparency and reproducibility of our results. The dataset is completely de-identified, and no personally identifiable information (PII) is included. Corresponding Author: Dr. Mansour Abdulnabi H. Mehdi ([email protected]) Ethics Approval: Research Ethics Committee of the University of Lahej (Reference: UA/FMHS/REC-2025-042, dated May 20, 2025).

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Publication Details

Journal
Open Science Framework
Published
2026-11-06
DOI
https://doi.org/10.17605/osf.io/bhytk
Primary Topic
Research on Leishmaniasis Studies
Type
article
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article

Cutaneous Leishmaniasis in a Conflict-Affected Region of Yemen: A Retrospective Cross-Sectional Clinical and Epidemiological Study from Radfan District

Nahid Ali
Open Science Framework
Research on Leishmaniasis Studies
article

Cutaneous Leishmaniasis in a Conflict-Affected Region of Yemen: A Retrospective Cross-Sectional Clinical and Epidemiological Study from Radfan District

Nahid Ali
article en

Abstract

This OSF project contains the de-identified raw dataset and the complete statistical analysis code (R Script) supporting the findings of the manuscript titled: "Cutaneous Leishmaniasis in a Conflict-Affected Region of Yemen: A Retrospective Cross-Sectional Clinical and Epidemiological Characterization from Radfan District," submitted to PLOS Neglected Tropical Diseases. Contents of this repository: 1. Dataset (CSV/Excel): The de-identified raw data of 112 patients. It includes demographic variables (age, sex, residence, sub-district) and clinical variables (clinical form, lesion location, lesion count, lesion nature). The single Diffuse Cutaneous Leishmaniasis (DCL) case is included in the raw dataset but was excluded from all comparative statistical analyses as per reviewer recommendations. 2. Statistical Code (R Script): The complete R code used to generate the descriptive statistics, bivariate analyses, multivariable logistic regression (primary analysis), Generalized Additive Model (GAM), Random Forest analysis, and E-value calculations. Data Availability Statement: The data and code are openly available in this OSF repository to ensure full transparency and reproducibility of our results. The dataset is completely de-identified, and no personally identifiable information (PII) is included. Corresponding Author: Dr. Mansour Abdulnabi H. Mehdi ([email protected]) Ethics Approval: Research Ethics Committee of the University of Lahej (Reference: UA/FMHS/REC-2025-042, dated May 20, 2025).

Open Science Framework
Good health and well-being
Openalex Percentile: Top 12%
Research on Leishmaniasis Studies
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