Evidence map›Paper›PMID 42741037›Full record

ArticleFrontiers in public health2026

Blood donation trends in Zhejiang Province, 2017-2025: an ecological study before, during, and after COVID-19.

Guihua Jiang, Yani Ye, Hongyun Wang, Jinhui Wu, Jinhui Liu, Jun Xu

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.

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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

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Guihua Jiang *Institute of Blood Transfusion, Jiaxing Central Blood Station, Jiaxing, Zhejiang, China.
Yani Ye *Institute of Blood Transfusion, Jiaxing Central Blood Station, Jiaxing, Zhejiang, China.
Hongyun WangInstitute of Blood Transfusion, Jiaxing Central Blood Station, Jiaxing, Zhejiang, China.
Jinhui WuInstitute of Blood Transfusion, Jiaxing Central Blood Station, Jiaxing, Zhejiang, China.
Jinhui LiuBlood Center of Zhejiang Province, Hangzhou, Zhejiang, China.
Jun XuInstitute of Blood Transfusion, Jiaxing Central Blood Station, Jiaxing, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Voluntary blood donation is fundamental to ensuring a safe and adequate blood supply for clinical transfusion. The COVID-19 pandemic posed unprecedented challenges to global blood collection systems, including those in China. This ecological study aimed to characterize long-term blood donation patterns in Zhejiang Province from 2017 to 2025, spanning the pre-pandemic, pandemic, and post-pandemic periods. Methods: The blood donation data from 2017 to 2025 were obtained from the BIS 3.0 database maintained by the Blood Center of Zhejiang Province. These data included the number of donations, donated volume, donor demographics, as well as blood supply volume. A descriptive ecological design was employed for analysis. Results: The blood donation rate per 1,000 population, the total number of blood donations, and whole blood donation indicators exhibited an upward trend from 2020 to 2022, followed by a decline in the post-pandemic period. The male-to-female donor ratio (≈3:2) remained stable. The proportion of young donors (18≤ to <25 years) declined by 46.2%. Conversely, donors aged 55≤ to <60 years increased from 1 to 3%, representing the largest relative growth among all age groups. Among occupational groups, the proportions of employees, medical staff, and workers returned to earlier levels after the pandemic, whereas the proportion of students recovered more slowly. The supply of red blood cells and plasma declined after 2022, while platelet supply continued to increase. Conclusion: These results reveal marked shifts in blood donation dynamics temporally associated with the pandemic and its aftermath. Therefore, targeted incentives, public awareness, and trend monitoring are warranted to enhance the resilience of the blood supply system.

Indexed as

Blood DonationBlood DonorsCOVID-19AdolescentAdultChinaFemaleHumansMaleMiddle AgedPandemicsSARS-CoV-2Young Adultblood donation characteristicsblood supplyChinaCOVID-19 pandemicecological studytrend analysisZhejiang Province

Identifiers

PMID42741037
PMCPMC13572587

What Socratic holds

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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 Socratic graph.