Evidence map›Paper›PMID 41778117›Full record

ArticleFrontiers in public health2026

The impact of COVID-19 on blood supply-demand balance and the association between group donations and economic performance: evidence from Zhejiang, China.

Guan Wang, Xiaoying Pu, Renzo Jose Carlos Calderon Anyosa, Yaming Gu

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Guan Wang *Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.
Xiaoying Pu *School of Basic Medical Sciences, Hangzhou Normal University, Hangzhou, China.
Renzo Jose Carlos Calderon AnyosaInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.
Yaming GuSchool of Public Health, Hangzhou Medical College, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The COVID-19 pandemic significantly disrupted the balance between blood supply and demand; however, limited evidence reveals how this imbalance emerged, particularly across specific blood types. Changes in donation patterns during the pandemic and their association with the local economy also remain underexplored. Methods: Using provincial-level data from 2014 to 2023, we used an interrupted time series model to analyze the trends in blood supply, blood demand, and group donations caused by the pandemic. Generalized least squares and distributed lag models were applied to examine the relationship between group donations and local economic performance. Results: The pandemic led to an immediate decline in the supply-to-demand ratio for blood, with types A and O most severely affected. Group donations were positively associated with local economic performance, although COVID-19 attenuated this relationship. Conclusion: Tailored strategies are needed for blood types in high demand. Supporting group donations may help promote economic resilience during public health crises.

Indexed as

Blood DonationBlood DonorsCOVID-19ChinaHumansInterrupted Time Series AnalysisPandemicsSARS-CoV-2blood supply and demandChinaCOVID-19economic performancegroup donations

Identifiers

PMID41778117
PMCPMC12950710

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.