医疗资源利用与支出数据集

基于南非私人健康保险人群的COVID-19疫苗接种对住院影响的数据集,包含索赔和人口统计信息。

Figshare
2025-01-24 更新
浏览 25
表格overall results may78 %9332 individuals belonging31 december 202226 %1013 %481 march 2020retrospective cohort studyretrospective cohort analysis06 %23zero hospital days88 %) lower
Hospital utilization and expenditure dataset

基本信息

模态
表格
大小
0.094090377 GB
许可
CC BY 4.0
创建/更新时间
2025-01-24
版本
v1

资源简介

医疗资源利用与支出数据集

【数据集背景】

本数据集源站标题为《Hospital utilization and expenditure dataset.》。配套论文《Impact of COVID-19 vaccination on hospitalization, hospital utilization and expenditure for COVID-19: A retrospective cohort analysis of a South African private health insured population》发表于 PLOS ONE(2025),DOI:10.1371/journal.pone.0317686。源站首次发布:2025-01-24。

【数据内容】

源站原始描述:This study quantifies the impact of COVID-19 vaccination on hospitalization for COVID-19 infection in a South African private health insurance population. This retrospective cohort study is based on the analysis of demographic and claims records for 550,332 individuals belonging to two health insurance funds between 1 March 2020 and 31 December 2022. A Cox Proportional Hazards model was used to estimate the impact of vaccination (non-vaccinated, partly vaccinated, fully vaccinated) on COVID-19 h…

【数据结构与技术规格】

文件数 1 个,合计 94.09 MB。数据集 DOI:10.1371/journal.pone.0317686.s003。

【主题与分类】

源站学科分类:Medicine、Biotechnology、Immunology、Cancer、Science Policy。主题标签:overall results may、78 %, 9、332 individuals belonging、31 december 2022、26 %, 10、13 %, 48、1 march 2020、retrospective cohort study、retrospective cohort analysis、06 %, 23。

【适用方向】

结构化表格数据可直接用于统计建模、特征工程与队列分析。

【获取与许可】

源站页面:https://plos.figshare.com/articles/dataset/Hospital_utilization_and_expenditure_dataset_/28276802

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Solanki, Geetesh; Cleary, Susan; Little, Francesca (2025). Hospital utilization and expenditure dataset.. PLOS ONE. Dataset

官方服务

专家保障全链路合规授权与标注交付

陕川双基地 × 超十家三甲医院直连

从合规授权、采集治理、专业标注到数据集交付,我们提供全链路闭环服务,让高质量临床数据即拿即用。

⚡️ 需要原始数据或标注支持?联系我们获取定制方案。

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下载信息

注册下载

需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。

暂未开放

公开下载

无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。

免登录

有偿下载

公开数据集受托下载与技术交付服务。

提供高速下载与技术交付服务(收技术服务费,非数据销售)

暂未开放

当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。

使用方式

数据集获取(Figshare)

命令行下载

curl -L -o "pone.0317686.s003.xlsx" "https://ndownloader.figshare.com/files/51915425"

文件清单

  • pone.0317686.s003.xlsx(94.09 MB)

文件总体积 94.09 MB(源站 API 实测)。

数据加载示例(图像类)

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。

数据说明

This study quantifies the impact of COVID-19 vaccination on hospitalization for COVID-19 infection in a South African private health insurance population. This retrospective cohort study is based on the analysis of demographic and claims records for 550,332 individuals belonging to two health insurance funds between 1 March 2020 and 31 December 2022. A Cox Proportional Hazards model was used to estimate the impact of vaccination (non-vaccinated, partly vaccinated, fully vaccinated) on COVID-19 hospitalization risk; and zero-inflated negative binomial models were used to estimate the impact of vaccination on hospital utilization and hospital expenditure for COVID-19 infection, with adjustments for age, sex, comorbidities and province of residence. In comparison to the non-vaccinated, the hospitalization rate for COVID-19 was 94.51% (aHR 0.06, 95%CI 0.06, 0.07) and 93.49% (aHR 0.07, 95%CI 0.06, 0.07) lower for the partly and fully vaccinated respectively; hospital utilization was 17.70% (95% CI 24.78%, 9.95%) and 20.04% (95% CI 28.26%, 10.88%) lower; the relative risk of zero hospital days was 4.34 (95% CI 4.02, 4.68) and 18.55 (95% CI 17.12, 20.11) higher; hospital expenditure was 32.83% (95% CI 41.06%, 23.44%) and 55.29% (95% CI 61.13%, 48.57%) lower; and the relative risk of zero hospital expenditure was 4.38 (95% CI 4.06, 4.73) and 18.61 (95% CI 17.18, 20.16) higher for the partly and fully vaccinated respectively. Taken together, findings indicate that all measures of hospitalization for COVID-19 infection were significantly lower in the partly or fully vaccinated in comparison to the non-vaccinated. The use of real-world data and an aggregated level of analysis resulted in the study having several limitations. While the overall results may not be generalizable to other populations, the findings add to the evidence based on the impact of COVID-19 vaccination during the period of the pandemic.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0317686.s003(source: https://plos.figshare.com/articles/dataset/Hospital_utilization_and_expenditure_dataset_/28276802)。

数据缺失?

依托陕西、四川两大基地,我们与超过十家三甲医院建立直接合作关系,覆盖合规授权、采集治理、专业标注、数据交付的全流程,为AI医疗团队提供即拿即用的高质量临床数据。

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