Ebola Patient Immune Mediator Data from the 2014–2016 West Africa Epidemic

Patient data from the 2014–2016 West Africa Ebola epidemic analyzed with machine learning and mathematical modeling. The analysis suggests a delayed type I interferon response in non-surviving patients overlaps with IL-12 signals, impairing T cell activation. This 438.9 KB dataset, authored by Gang Zhao and last updated in 2026, is shared under a CC-BY-4.0 license on figshare.

Use Cases

• Modeling the temporal sequence of cytokine signals based on the described IFN-I and IL-12 dynamics.
• Predicting patient survival outcomes based on immune mediator patterns mentioned in the analysis.
• Studying dysregulated T cell activation in viral infections using the described patient cohort data.
• Training models to reconstruct immune response timelines from clinical data as described in the methods.

Strengths

• Data is derived from patient records during a major epidemic (2014–2016 West Africa).
• Analysis combines machine learning and mathematical modeling, as described in the methods.
• Dataset is openly shared under a permissive CC-BY-4.0 license.

Limitations

• The dataset is small in file size (438.9 KB), indicating limited scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare, author Gang Zhao.

Collection Method

Analysis of patient data with machine learning and mathematical modeling, as per the description.

Time Range

2014–2016 (West Africa epidemic period).

Freshness

Last updated 2026-04-23 05:28:24; freshness should be verified.

Geography

West Africa.