Risk Factors for Clinical RVF Infections in Burundi Livestock (May–Nov 2022)

Outputs of a random effects Poisson regression model used to identify risk factors for clinical Rift Valley Fever (RVF) infections in livestock in Burundi. The dataset, created by Canésius Nkundwanayo, is a 5.5 KB Excel file containing model results from a study conducted between May and November 2022.

Use Cases

• Identify key risk factors for RVF outbreaks based on the regression model outputs
• Inform livestock disease surveillance and control strategies in Burundi based on identified risk factors
• Validate or compare statistical models for zoonotic disease epidemiology using the provided Poisson regression results

Strengths

• Model outputs are specifically for a significant zoonotic disease (Rift Valley Fever)
• Data has a clear temporal focus (May–November 2022)
• Released under a permissive CC-BY-4.0 license for reuse

Limitations

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

Provenance

Source

Canésius Nkundwanayo

Collection Method

Outputs from a random effects Poisson regression model

Time Range

May–November 2022

Freshness

Last updated 2026-04-10 17:45:53; freshness should be verified

Geography

Burundi