队列人口统计学特征
包含超60万COVID-19患者的人口统计学和临床特征,用于分析PASC就医预测因素。

基本信息
资源简介
队列人口统计学特征
【数据集背景】
本数据集源站标题为《Demographic characteristics of cohort.》。源站首次发布:2025-09-09。
【数据内容】
源站原始描述:Background Research on Post-acute sequelae of COVID (PASC) has focused on the prevalence of symptoms, leaving gaps in our understanding of predictors of health care seeking. Objective To identify clinical and sociodemographic characteristics associated with PASC care seeking. Methods Retrospective cohort study of adult patients with COVID-19 diagnosis between January 1, 2021 and June 30, 2022 in a community-based comprehensive health care delivery system at 21 hospitals and medical clinics in No…
【数据结构与技术规格】
文件数 1 个,合计 9.73 KB。Table 1.xls:application/vnd.ms-excel,9.73 KB。数据集 DOI:10.1371/journal.pone.0331370.t001。
【主题与分类】
源站学科分类:Biotechnology、Immunology、Developmental Biology、Cancer、Infectious Diseases、Virology。主题标签:least 28 days、hispanic white race、92 &# 8211、72 &# 8211、64 &# 8211、32 &# 8211、20 &# 8211、08 &# 8211、health care utilization、49 &# 8211。
【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/Demographic_characteristics_of_cohort_/30088781
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Durant, Edward J.; Warton, E. Margaret; Skarbinski, Jacek; Siqueiros, Marcos H.; Cholleti, S. Madhavi; Vinson, David R.; et al. (2025). Demographic characteristics of cohort.. PLOS ONE. Dataset
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)
- 源站标题:Demographic characteristics of cohort.
- DOI:10.1371/journal.pone.0331370.t001
- 发布日期:2025-09-09
- 文件数:1 个
- 文件总体积:9.73 KB
- 源站页面:https://plos.figshare.com/articles/dataset/Demographic_characteristics_of_cohort_/30088781
命令行下载
curl -L -o "Table 1.xls" "https://ndownloader.figshare.com/files/57809483"
文件清单
Table 1.xls(9.73 KB)
文件总体积 9.73 KB(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
Background
Research on Post-acute sequelae of COVID (PASC) has focused on the prevalence of symptoms, leaving gaps in our understanding of predictors of health care seeking.
Objective
To identify clinical and sociodemographic characteristics associated with PASC care seeking.
Methods
Retrospective cohort study of adult patients with COVID-19 diagnosis between January 1, 2021 and June 30, 2022 in a community-based comprehensive health care delivery system at 21 hospitals and medical clinics in Northern California. Primary outcome was one or more PASC care seeking encounters at least 28 days after COVID-19 diagnosis in unadjusted and multivariate analyses.
Results
Of 600,295 surviving COVID patients, 3,797 (0.63%) had PASC care encounters. Female sex (RR 1.29, 95% CI 1.20–1.39), non-Hispanic White race, age 40–49 years (RR 2.35, 95% CI 2.08–2.66), more severe acute COVID illness, including an ED visit (RR 4.41, 95% CI 3.92–4.96), and severe depression (RR 1.69, 95% CI 1.32–2.16) were associated with PASC care. COVID immunization (RR 0.79, 95% CI 0.72–0.85), metformin use among diabetic patients (RR 0.74, 95% CI 0.64–0.84), and diagnosis during Omicron predominance (RR 0.54, 95% CI 0.49–0.60) were associated with lower PASC care.
Conclusion
Higher illness severity, medical comorbidities, and infection during the Delta and pre-Delta periods were associated with PASC care seeking. COVID immunization and metformin were associated with lower PASC care seeking. These findings could be useful in understanding the patterns and burden of care seeking for a new disease entity.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0331370.t001(source: https://plos.figshare.com/articles/dataset/Demographic_characteristics_of_cohort_/30088781)。
数据缺失?
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