慢性病患者诺如病毒疾病建模估算数据集

基于MarketScan数据,通过间接建模估算美国慢性病患者中诺如病毒胃肠炎导致的急诊、门诊和住院率,并与健康人群比较。

Figshare
2016-09-28 更新
浏览 16
表格United States populationResults Hospitalization ratesChronic Medical Conditions Backgroundretrospective cohort studyConclusion Norovirus gastroenteritisemergency department visitshealth care utilizationnorovirus gastroenteritis
Modelling Estimates of Norovirus Disease in Patients with Chronic Medical Conditions

基本信息

模态
表格
大小
0.001083728 GB
许可
CC BY 4.0
创建/更新时间
2016-09-28
版本
v1

资源简介

慢性病患者诺如病毒疾病建模估算数据集

【数据集背景】

本数据集源站标题为《Modelling Estimates of Norovirus Disease in Patients with Chronic Medical Conditions》。配套论文《Modelling Estimates of Norovirus Disease in Patients with Chronic Medical Conditions》发表于 PLOS ONE(2016),DOI:10.1371/journal.pone.0158822。源站首次发布:2016-07-20。

【数据内容】

源站原始描述:Background The burden of disease due to norovirus infection has been well described in the general United States population, but studies of norovirus occurrence among persons with chronic medical conditions have been limited mostly to the immunocompromised. We assessed the impact of norovirus gastroenteritis on health care utilization in US subjects with a range of chronic medical conditions. Methods We performed a retrospective cohort study using MarketScan data from July 2002 to December 2013,…

【数据结构与技术规格】

文件数 2 个,合计 1.08 MB。S1 Fig.TIFF:image/tiff,1.05 MB。S1 Table.DOCX:application/vnd.openxmlformats-officedocument.wordprocessingml.document,31.70 KB。数据集 DOI:10.1371/journal.pone.0158822。

【主题与分类】

源站学科分类:Space Science、Medicine、Evolutionary Biology、Marine Biology、Cancer、Infectious Diseases。主题标签:United States population、Results Hospitalization rates、Chronic Medical Conditions Background、retrospective cohort study、Conclusion Norovirus gastroenteritis、emergency department visits、health care utilization、norovirus gastroenteritis。

【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/Modelling_Estimates_of_Norovirus_Disease_in_Patients_with_Chronic_Medical_Conditions/3889884

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

规范引用:Verstraeten, Thomas; Jiang, Baoguo; Weil, John G.; H. Lin, Jennifer (2016). Modelling Estimates of Norovirus Disease in Patients with Chronic Medical Conditions. PLOS ONE. Dataset

【使用注意】

· 源站最后修改于 2023-06-01,引用时请注意版本时效。

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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 "S1 Fig.TIFF" "https://ndownloader.figshare.com/files/6095208"
curl -L -o "S1 Table.DOCX" "https://ndownloader.figshare.com/files/6095214"

文件清单

  • S1 Fig.TIFF(1.05 MB)
  • S1 Table.DOCX(31.70 KB)

文件总体积 1.08 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

Background
The burden of disease due to norovirus infection has been well described in the general United States population, but studies of norovirus occurrence among persons with chronic medical conditions have been limited mostly to the immunocompromised. We assessed the impact of norovirus gastroenteritis on health care utilization in US subjects with a range of chronic medical conditions.
Methods
We performed a retrospective cohort study using MarketScan data from July 2002 to December 2013, comparing the rates of emergency department visits, outpatient visits and hospitalizations among patients with chronic conditions (renal, cardiovascular, respiratory, immunocompromising, gastrointestinal, hepatic/pancreatic and neurological conditions and diabetes) with those in a healthy population. We estimated the rates of these outcomes due to norovirus gastroenteritis using an indirect modelling approach whereby cases of gastroenteritis of unknown cause and not attributed to a range of other causes were assumed to be due to norovirus.
Results
Hospitalization rates for norovirus gastroenteritis were higher in all of the risk groups analyzed compared with data in otherwise healthy subjects, ranging from 3.2 per 10,000 person-years in persons with chronic respiratory conditions, to 23.1 per 10,000 person-years in persons with chronic renal conditions, compared to 2.1 per 10,000 among persons without chronic conditions. Over 51% of all norovirus hospitalizations occurred in the 37% of the population with some form of chronic medical condition. Outpatient visits for norovirus gastroenteritis were also increased in persons with chronic gastrointestinal or immunocompromising conditions.
Conclusion
Norovirus gastroenteritis leads to significantly higher rates of healthcare utilization in patients with a chronic medical condition compared to patients without any such condition.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0158822(source: https://plos.figshare.com/articles/dataset/Modelling_Estimates_of_Norovirus_Disease_in_Patients_with_Chronic_Medical_Conditions/3889884)。

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