ArticleVox sanguinis2026
Long-term forecasting of blood donations using time series of donation activity: Findings from seven blood establishments.
Article in Vox sanguinis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- Long-term forecasting of blood donations using time series of donation activity: Findings from seven blood establishments.Vox sanguinis · 2026Article
- AI and transfusion medicine in Europe: why public leadership cannot wait.Blood transfusion = Trasfusione del sangueArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
BACKGROUND AND
objectivesTo meet the long-term demand for blood products while preserving donor health in the long run, blood establishments must recruit a sufficient number of new donors annually. To determine what will suffice, it is essential to be able to forecast future blood donation volumes as a function of new donors using estimates based on historical donation activity. MATERIALS AND
methodsDonor (n = 11,629,873) and donation data (n = 64,510,294) extracted from operational information systems of seven blood establishments were transformed into anonymous donation activity data (grouped by blood establishment, sex and blood group) in the form of time series of mean number of donations per donor, indexed by years since first donation. Linear models were fitted to the time series using ordinary least squares.
resultsOut of the various estimated models, the best fit (mean R
conclusionAverage donation activity can be modelled using a few variables and simple models, with high precision. The estimates can be used to create forecasts of future donation volumes, which in turn can be useful in long-term blood donation management.
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Registered trials
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