Broiler Disease Study Data Integration Rules from a Polish Case Study

Additional file 2 provides the grouping and data integration logic used to define variables for a study on endemic diseases in broiler chickens. The 28.4 KB XLSX workbook contains worksheets detailing rules for integrating ELISA, RT-PCR, and vaccine data, and for defining necropsy lesion and bacteria status variables. The file was authored by Camille Delavenne and last updated on April 17, 2026.

Use Cases

• Replicating variable construction for disease analysis based on the described ELISA, RT-PCR, and vaccine data integration logic.
• Understanding the grouping criteria for 40 necropsy lesion variables used in the referenced study.
• Applying the defined logic for 19 bacteria status variables to similar poultry health datasets.
• Reviewing data integration methodologies for heterogeneous sources in animal production research.

Strengths

• Provides explicit logic trees for data integration, detailing how variables were constructed from multiple test results.
• The workbook structure organizes rules into four distinct worksheets for clarity.
• Specifically defines 40 variables under the 'necropsy lesion' theme and 19 under 'bacteria status'.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (28.4 KB), indicating it contains only rule definitions, not the primary study data.

Provenance

Source

figshare

Collection Method

Likely compiled as supplementary material for a research study on broiler diseases.

Freshness

Last updated 2026-04-17 03:58:18; freshness should be verified.

Geography

Based on a Polish case study.