Blood Donor Infection Prevalence and Risk Factors in Zambia
by Mwila Mapipo·Updated 2mo ago
9.5 KB1files
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Description
Records from 2,667 blood donors at Chinsali General Hospital in Zambia during 2021 provide demographic, blood group, and infection screening data. The dataset, created by Mwila Mapipo, shows an overall transfusion-transmitted infection prevalence of 25.7% among donors. It includes results for Hepatitis B, Hepatitis C, HIV, and Syphilis, with associated risk factor analyses.
Use Cases
Analyze the association between ABO/Rhesus blood group and infection status, such as the protective effect of blood group O against HCV.
Model demographic risk factors for specific pathogens, using age and sex to predict odds of Syphilis or HBV infection.
Investigate geographic variation in infection rates, such as the higher odds of HIV for donors from the Mpika district.
Study co-infection patterns among the four screened pathogens, including the notable HIV/Syphilis co-infection rate of 4.9%.
Strengths
Contains data from 2,667 individual blood donor records.
Includes screening results for four major bloodborne pathogens (HBV, HCV, HIV, Syphilis) with specific prevalence rates.
Provides detailed multivariable logistic regression results with adjusted odds ratios and confidence intervals for risk factors.
Limitations
Limited to a single hospital in Muchinga Province, Zambia, reducing generalizability.
Small dataset size (9.5 KB) indicates limited scope and potential for detailed subgroup analysis.
Data is from a single year (2021), offering only a cross-sectional snapshot.
Provenance
Source
Chinsali General Hospital Blood Bank, Muchinga Province, Zambia.
Collection Method
Cross-sectional study using hospital blood bank records and laboratory screening with the Abbott Alinity i platform.
Time Range
January to December 2021.
Freshness
Data covers the year 2021; metadata was last updated in 2026.
Geography
Muchinga Province, Zambia.
File is in XLS (Excel) format. The specific column names and data structure are not provided in the input metadata.