Factors for Bacterial LRTI Among TB-Negative Patients in Eastern Ethiopia, 2024

Bi-variable and multivariable logistic regression analyses identify factors associated with bacterial lower respiratory tract infection pathogens. The dataset is 13.5 KB in size and was authored by Negesso Gebre in 2024. It focuses on Gene Xpert-negative presumptive tuberculosis adult patients at HFCSH, eastern Ethiopia.

Use Cases

• Modeling risk factors for bacterial LRTI based on patient demographic and clinical variables mentioned in the description
• Comparing statistical associations between different predictor variables and infection outcomes
• Training logistic regression models for clinical prediction in similar patient populations

Strengths

• Dataset is openly licensed under CC-BY-4.0, permitting broad reuse.
• Analysis is temporally specific, focusing on data from 2024.
• The statistical methodology (bi-variable and multivariable logistic regression) is explicitly stated.

Limitations

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

Provenance

Source

figshare

Collection Method

Clinical study analysis of patient data.

Time Range

2024

Freshness

Last updated 2026-05-14 17:38:54; freshness should be verified.

Geography

HFCSH, eastern Ethiopia