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

A 2024 systematic review synthesizing literature from 2000 to 2024 on modelling approaches for skin neglected tropical diseases. The review, authored by Mesoud A. Bushara, analyzed 68 studies from 2,870 retrieved records, focusing on methodologies, predictors, and data sources used for diseases like cutaneous leishmaniasis and lymphatic filariasis.

Use Cases

• Benchmarking predictive modelling methodologies based on the review's synthesis of geostatistical and ecological niche models.
• Identifying common environmental covariates for disease mapping based on the reported use of climate, land cover, and elevation data.
• Assessing data limitations in disease surveillance for model development based on the review's findings on passive surveillance and pseudoabsence data.

Strengths

• Includes 68 reviewed studies from a systematic search of 2,870 records, providing a focused corpus.
• Explicitly covers a 24-year time range (2000-2024) for literature inclusion.
• Licensed under CC-BY-4.0, permitting broad reuse with attribution.

Limitations

• Dataset is very small (5.5 KB), suggesting it contains summary metadata or inclusion criteria rather than the full reviewed data.
• Row count and column-level documentation are unknown, limiting assessment of the underlying data structure.
• The description focuses on review methodology; the actual predictive model data or code is not present.

Provenance

Source

figshare, authored by Mesoud A. Bushara.

Collection Method

Systematic literature review from three databases.

Time Range

2000-2024

Freshness

Last updated 2026-05-04 17:48:22.

Geography

Global, focusing on endemic regions for skin neglected tropical diseases.