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

Gang Zhao's dataset contains patient data from the 2014–2016 West Africa Ebola epidemic, analyzed with machine learning and mathematical modeling. The 1.7 MB PDF file presents results on the temporal dynamics of immune mediators like type I interferon and IL-12 in survivors versus non-survivors. The data was last updated on April 23, 2026.

Use Cases

• Modeling the temporal sequence of cytokine signals based on the described delayed IFN-I and IL-12 responses.
• Predicting patient survival outcomes based on immune mediator profiles mentioned in the analysis.
• Studying T cell activation impairment based on the described dysregulated cytokine dynamics.
• Reconstructing immune response timelines from patient data using the described combination of machine learning and mathematical modeling.

Strengths

• Data is derived from patient records during a major epidemic (2014–2016 West Africa outbreak).
• Analysis combines machine learning and mathematical modeling, as described in the methods.
• Dataset is licensed under CC-BY-4.0, permitting open sharing and adaptation.

Limitations

• The dataset is a 1.7 MB PDF; the underlying raw data and its structure (columns, rows) are not directly accessible.
• Description metadata is limited; actual data quality requires manual inspection after download.
• Row count is unknown, which may limit suitability assessment for large-scale statistical modeling.

Provenance

Source

figshare, author Gang Zhao

Collection Method

Analysis of patient data from the 2014–2016 West Africa epidemic with machine learning and mathematical modeling.

Time Range

2014–2016

Freshness

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

Geography

West Africa