Univariable Analysis of Rift Valley Fever Cases in Burundi Livestock, May–November 2022

Results of a univariable analysis assessing the association between selected independent variables and the number of Rift Valley Fever (RVF) cases in livestock in Burundi. The dataset was authored by Canésius Nkundwanayo and is available under a CC-BY-4.0 license. It was last updated on April 10, 2026.

Use Cases

• Identify potential risk factors for RVF outbreaks based on the independent variables analyzed.
• Inform livestock disease surveillance and control strategies in Burundi based on the statistical associations found.
• Support further multivariable or spatial modeling of RVF risk using the results as a baseline.

Strengths

• Dataset is openly licensed (CC-BY-4.0) for reuse.
• Focus is on a specific disease (RVF) and country (Burundi) during a defined 7-month period in 2022.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Canésius Nkundwanayo via figshare.

Collection Method

Results of a univariable statistical analysis.

Time Range

May – November 2022.

Freshness

Last updated 2026-04-10 17:45:52; freshness should be verified.

Geography

Burundi.