Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_440e6268902c6ef0abab0d1b647c29f0/view

Overview

This dataset contains comprehensive donor registration and donation history data for a Blood Donation Management Portal. It includes demographic details, medical conditions, and eligibility information for 10,000 donors.

The dataset is useful for data analytics, machine learning models, and healthcare decision support systems aimed at improving donor engagement, predicting donation frequency, and ensuring donor eligibility compliance.

Data Summary

Instances: 10,000

Attributes: 18

Data Type: Mixed (Categorical, Numerical, Date)

Missing Values: None

File Format: CSV

Use Cases

This dataset can be used for:

Donor eligibility and retention prediction

Blood group and demographic analysis

Medical health pattern exploration

Healthcare dashboard visualization

ML model training for donor classification

Web portal development and simulation projects

Potential Research Questions

What demographic factors influence donation frequency?

Can we predict donor eligibility based on health and donation history?

Which blood groups are most and least common in the dataset?

How does hemoglobin or weight affect donation status?

The total number of blood donors in Japan amounted to nearly *** million people in 2021. Out of the number of donors, about **** percent donated *** mL, **** percent made apheresis donations, and *** percent donated *** mL. In Japan, the collection and supply of blood for use in transfusion are operated only by the Japanese Red Cross Society.

In 2023, there were around 6.5 million blood donors in the United States. Of this total, over 4.8 million were repeat donors. This graph shows the number of blood donors in the United States in 2021 and 2023.

Donor rate and distribution of donations, population aged 15 and over, age group, 2013.

The package contains data on blood donations carried out, which are stored in the Register of Blood Donors of the Institute of Hygiene. The dataset consists of three tables: 1. Data of persons wishing to donate blood or blood components (updated daily); 2. Successful blood donation visits (updated daily); 3. Unsuccessful blood donation visits (updated on 1 March each year); 4. Monthly statistics on blood donation visits (updated on 15 th of each month). Data provider – Hygiene Institute. Data shall be collected from 1 April 2012. For technical questions or possible errors, contact the atverimas@stat.gov.lt. ”

In 2023, there were an estimated 11 million successful blood donations in the United States. Those aged 16 to 18 years accounted for about 800 thousand of all successful blood donations that year. This graph shows the number of blood donations in the United States in 2023, by age.

CDC is collaborating with Vitalant Research Institute, American Red Cross, and Westat Inc. to conduct a nationwide COVID-19 seroprevalence survey of blood donors. De-identified blood samples are tested for antibodies to SARS-CoV-2 to better understand the percentage of people in the United States who have antibodies against SARS-CoV-2 (the virus that causes COVID-19) and to track how this percentage changes over time. Both SARS-CoV-2 infection and COVID-19 vaccines currently used in the United States result in production of anti-spike (anti-S) antibodies but only infection results in production of anti-nucleocapsid (anti-N) antibodies. Infection-induced seroprevalence estimates the proportion of the population with antibody evidence of previous SARS-CoV-2 infection and refers to the percent of the population with anti-nucleocapsid antibodies. Combined infection-Induced and Vaccination-Induced seroprevalence estimates the proportion of the population with antibody evidence of previous SARS-CoV-2 infection, COVID-19 vaccination, or both, and refers to the percent of the population that has anti-spike antibodies, anti-nucleocapsid antibodies, or both. This link connects to a webpage that displays the data from the Nationwide Blood Donor Seroprevalence Survey. It offers an interactive visualization available at https://covid.cdc.gov/covid-data-tracker/#nationwide-blood-donor-seroprevalence-2022

Abstract Blood donation is a social practice that helps treat diseases and maintain public health. The DoeSangue application was designed and developed to support donor recruitment and loyalty, strengthening health promotion and social engagement. We aimed to assess the DoeSangue application from the perspective of hematology and hemotherapy experts. A methodological, applied and qualitative research was carried out from September 2015 to July 2017 in Fortaleza, Ceará. The study was based on Participatory Interaction Design associated with Symbolic Interactionism. After conducting the first two steps, application design and development in a laboratory and assessment by donor users, the application was validated by eight experts from the Fortaleza’s public blood center. For data collection, the ‘application validation form with experts’ was used based on a Likert-type scale, and a focus group was conducted. The tool was positively assessed by participants, with an average Content Validation Index of 0.88. Evaluators pointed out, among other features, the tool’s ability to promote interactivity, mobilization and social engagement, in addition to contributing to gathering and loyalty of blood donors.

Donor rate and distribution of average annual donations, for the population aged 15 and over, by gender, Canada and provinces.

Abstract INTRODUCTION This study investigated the prevalence of blood donors’ test-seeking behavior and related factors among health sciences undergraduate students. METHODS A total of 750 students were invited. Data regarding sociodemographic and behavioral characteristics, blood donation practices, and test-seeking behavior were collected. RESULTS: Of the invited students, 341 (45.5%) agreed to participate and answered questions regarding test-seeking behavior. The sample comprised 83.1% females, 96.8% singles, 87.2% heterosexuals, and 32.6% of them had previously donated blood. A high prevalence of blood donor test-seeking behavior (14.4%; 95% CI: 10.8%-18.5%) was observed and associated with blood donation practices. CONCLUSIONS: Test-seeking behavior was common among the interviewed students, thereby highlighting the importance of developing a better understanding of its determinants to prevent this behavior in key populations.

This dataset contains 10,000 synthetic blood donor records created for educational, development, and demo purposes. Each record includes a donor’s full name, contact number, email, blood group, city, availability status, donation history, and date of entry.

The data was generated using Python and the Faker library to simulate realistic values. It is ideal for:

Practicing CRUD operations (Create, Read, Update, Delete)

Developing backend systems using PHP and MySQL

Building donor search tools or healthcare management systems

Exploring data cleaning and analytics techniques

No real individuals are included. All information is entirely fictional and safe for public use.

Blood Transfusion Service Center Data Set : - Data taken from the Blood Transfusion Service Center in Hsin-Chu City in Taiwan This is a classification problem.

Data Set Information : To demonstrate the RFMTC marketing model (a modified version of RFM), this study adopted the donor database of Blood Transfusion Service Center in Hsin-Chu City in Taiwan. The center passes their blood transfusion service bus to one university in Hsin-Chu City to gather blood donated about every three months. To build a FRMTC model, we selected 748 donors at random from the donor database. These 748 donor data, each one included R (Recency - months since last donation), F (Frequency - total number of donation), M (Monetary - total blood donated in c.c.), T (Time - months since first donation), and a binary variable representing whether he/she donated blood in March 2007 (1 stand for donating blood; 0 stands for not donating blood).

Attribute Information : Given is the variable name, variable type, the measurement unit and a brief description. The "Blood Transfusion Service Center" is a classification problem. The order of this listing corresponds to the order of numerals along the rows of the database. R (Recency - months since last donation), F (Frequency - total number of donation), M (Monetary - total blood donated in c.c.), T (Time - months since first donation), and a binary variable representing whether he/she donated blood in March 2007 (1 stand for donating blood; 0 stands for not donating blood).

Table 1 shows the descriptive statistics of the data. We selected 500 data at random as the training set, and the rest 248 as the testing set.

Table 1. Descriptive statistics of the data - Variable Data Type Measurement Description min max mean std - Recency quantitative Months Input 0.03 74.4 9.74 8.07 Frequency quantitative Times Input 1 50 5.51 5.84 - Monetary quantitative c.c. blood Input 250 12500 1378.68 1459.83 - Time quantitative Months Input 2.27 98.3 34.42 24.32 - Whether he/she donated blood in March 2007 binary 1=yes 0=no Output 0 1 1 (24%) 0 (76%)

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Citation Request : NOTE: Reuse of this database is unlimited with retention of copyright notice for Prof. I-Cheng Yeh and the following published paper: Yeh, I-Cheng, Yang, King-Jang, and Ting, Tao-Ming, "Knowledge discovery on RFM model using Bernoulli sequence, "Expert Systems with Applications, 2008 (doi:10.1016/j.eswa.2008.07.018).

Blood donation is crucial for certain populations, such as pregnant mothers, anemic patients, traumatized patients, and individuals undergoing surgery. The imbalance between the number of blood donors and the demand for blood in Ethiopia is a serious public health concern. Having a favorable attitude towards blood donation could aid in correcting this imbalance. Therefore, this study aimed to assess the proportion of favorable attitudes, types of blood donation, willingness, and feelings towards blood donation in Ethiopia. Several databases were searched to retrieve the available articles. Heterogeneity and publication bias were assessed using the Galbraith plot with Cochrane I2 statistics and funnel plot with Egger's test, respectively. Subgroup analysis was done to identify the cause of the substantial heterogeneity. The pooled prevalence of favorable attitudes about blood donation was 65.28% (60.10–70.47). A higher prevalence was reported among studies conducted after 2020, in Northern Ethiopia and among health care professionals: 72.66%, 68.45%, and 69.41%, respectively. The percentages of people who had good feelings, willing to donate, and encouraged others to donate are 83.99%, 74.23%, and 77.96%, respectively. Conversely, 42.84% of participants believe that risk will happen following donation. There was an association between knowledge and attitude towards blood donation (AOR = 1.76; 95% CI: 1.48–2.99). The findings of this study may imply the preparation of a blood donation campaign that helps the community. Concerned bodies from governmental and non-governmental organizations may arrange and design community education, which may increase the number of voluntary donors.

CONTEXT AND OBJECTIVE: Knowledge of the reasons for donor deferral can help in planning more efficient recruitment strategies and evaluating donor selection criteria. This study aimed to investigate the rates and reasons for donor deferral. DESIGN AND SETTING: Retrospective study at Shiraz Blood Transfusion Center, Shiraz, Iran. METHODS: 141,820 volunteers were interviewed confidentially by physicians before blood donation. The rate of and reasons for donor deferral were investigated according to demographic characteristics. The data were analyzed using the comparison-of-proportions test of the MedCalc statistical software. RESULTS: 43,839 people (30.9%) who had come for blood donation were deferred, 1,973 (4.5%) of them permanently. The deferral rate was significantly higher among women, single individuals and first-time donors, compared with men, married individuals and those with a history of previous donation (P < 0.0001). The deferral rate was significantly higher in the 17 to 30-year-old group (P < 0.05). The reasons for deferral were divided into five categories: risk factors possibly related to HIV or hepatitis (43.6%), underlying diseases (31.9%), non-eligible conditions (13.5%), medications that interfere with blood donation (7.8%) and risk factors that may relate to bacterial or viral infections except HIV and hepatitis infections (3.2%). CONCLUSION: Effective measures are required for documenting the impact of deferral on blood availability, monitoring the effectiveness of and need for deferral, and determining the reasons and rates of deferral.

ObjectiveThe relationship among blood donation, cognition in blood donation and health condition of blood donors remains unclear. Based on our hypothesis, this study aimed to explore the mediating effect of cognition in blood donation on the relationship between blood donation and blood donors’ health status.MethodsA total of 837 participants who had prior experience in donating whole blood were recruited into a cross-sectional survey. The Medical Outcomes Study 36-Item Short-Form Health Survey (SF-36) and the Questionnaire on Cognition in Non-remunerated Blood Donation were used to evaluate the health status and the level of cognition in blood donation, respectively. Blood donation referred to the cumulative times of blood donation. The mediating effect of cognition in blood donation was analyzed by applying a path model.ResultsThe results revealed that blood donation was positively related to the physical component summary (PCS) and mental component summary (MCS) of SF-36, and cognition in blood donation was shown to have a partial mediating effect on the relationship between blood donation and both PCS and MCS. The effect size of cognition in blood donation was 24.63% in PCS and 26.72% in MCS.ConclusionsBlood donation is positively correlated with SF-36 outcomes (PCS and MCS) of blood donors, and cognition in blood donation plays a partial mediating effect in the relationship between blood donation and PCS and MCS.

In view of the frequent blood shortages in Taiwan, the alternative military service training class in the Chenggongling camp in Taichung City has been encouraging conscripts to donate blood for public welfare since 2007. During the basic training period, the conscripts have requested the Taichung Blood Donation Center to dispatch blood donation vehicles to call on alternative conscripts to participate in this blood donation and life-saving public welfare cause. This has been uninterrupted for 15 consecutive years, becoming a fine tradition of the alternative military service training class. It has been awarded certificates from the Ministry of the Interior and the Ministry of Health and Welfare for 15 consecutive years from 2007 to 2020. To date, the alternative military service training class continues to hold blood donation activities, encouraging conscripts to roll up their sleeves and donate blood, maintaining the fine tradition of the alternative military service training class.

Financial overview and grant giving statistics of Blood Donors of America

During a crisis, society calls for individuals to take prosocial actions that promote crisis management. Indeed, individuals show higher willingness to help after a disaster. However, the COVID-19 pandemic presents significant differences as it is an ongoing crisis that affects all individuals and has the potential to pose a direct health threat to anyone. Therefore, we propose that the pandemic may also negatively affect willingness to help, specifically blood donation intentions. It requires a high level of willingness to donate blood beyond the crisis outbreak, as more blood will be needed when postponed surgeries resume. When comparing blood donation intentions from a pre-pandemic study to results from a six-wave (bi-weekly) panel study conducted in Germany during the first pandemic phase (April to June 2020), we find lower medium and long-term blood donation intentions. While active donors show increased awareness of ability and eligibility to donate at the beginning of the pandemic compared to pre-pandemic, they feel significantly less able to donate as the pandemic progresses. Furthermore, inactive donors’ perceived ability to donate significantly decreases in the pandemic phase compared to the pre-pandemic phase. Crucially, both active and inactive donors feel less responsible and less morally obliged to donate, resulting in an overall negative pandemic effect on blood donation intentions. The COVID-19 pandemic compromises blood donations endangering the life-saving blood supply. These alarming results offer evidence-based grounds for practical implications for driving donations in the event of a pandemic.

Background Self-administered computer-assisted blood donor screening strategies may elicit more accurate responses and improve the screening process. Methods Randomized crossover trial comparing responses to questions on a computerized hand-held tool (HealthQuiz, or HQ), to responses on the standard written instrument (Donor Health Assessment Questionnaire, or DHAQ). Randomly selected donors at 133 blood donation clinics in the area of Hamilton, Canada participated from 1995 to 1996. Donors were randomized to complete either the HQ or the DHAQ first, followed by the other instrument. In addition to responses of 'yes' and 'no' on both questionnaires, the HQ provided a response option of 'not sure'. The primary outcome was the number of additional donors deferred by the HQ. Results A total of 1239 donors participated. Seventy-one potential donors were deferred as a result of responses to the questionnaires; 56.3% (40/71) were deferred by the DHAQ, and an additional 43.7% (31/71) were deferred due to risks identified by the HQ but not by the DHAQ. Fourteen donors self-deferred; 11 indicated on the HQ that they should not donate blood on that day but did not use the confidential self-exclusion option on the DHAQ, and three used the self-exclusion option on the DHAQ but did not indicate that they should not donate blood on the HQ. The HQ identified a blood contact or risk factor for HIV/AIDS or sexually transmitted infection that was not identified by the DHAQ in 0.1% to 2.7% of donors. Conclusion A self-administered computerized questionnaire may increase risk reporting by blood donors.