Systematic Review of Predictive Models for Skin Neglected Tropical Diseases, 2000-2024

A 2024 systematic review synthesizes 68 studies from 2000-2024 on modelling the distribution of skin neglected tropical diseases. The review, authored by Mesoud A. Bushara and published on figshare, analyzes prevalent methodologies, environmental covariates, and data sources used in these predictive models.

Use Cases

• Benchmarking modelling approaches for disease mapping based on the review of 68 studies.
• Identifying common environmental predictors like climate and land cover for skin NTD risk models.
• Evaluating the strengths and limitations of geostatistical and ecological niche modelling frameworks.
• Informing future model development by addressing gaps such as the incorporation of socio-economic determinants.

Strengths

• Focuses on a specific public health niche: skin neglected tropical diseases.
• Systematically reviews 68 studies published over a 24-year period (2000-2024).
• Identifies the most modelled diseases: cutaneous leishmaniasis (26 studies) and lymphatic filariasis (18 studies).
• Released under a permissive CC-BY-4.0 license for reuse.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (9.5 KB), indicating it likely contains summary metadata rather than raw model data.

Provenance

Source

figshare

Collection Method

Systematic literature review from three databases.

Time Range

2000-2024

Freshness

Last updated 2026-05 04 17:48:23; freshness should be verified.

Geography

Global, with studies from endemic regions.