六种医疗相关感染对欧洲人口健康负担的估算研究数据集

数据集获取（Figshare）

• 源站标题：Burden of Six Healthcare-Associated Infections on European Population Health: Estimating Incidence-Based Disability-Adjusted Life Years through a Population Prevalence-Based Modelling Study
• DOI：10.1371/journal.pmed.1002150
• 发布日期：2016-10-18
• 文件数：3 个
• 文件总体积：1.28 MB
• 源站页面：https://plos.figshare.com/articles/dataset/Burden_of_Six_Healthcare-Associated_Infections_on_European_Population_Health_Estimating_Incidence-Based_Disability-Adjusted_Life_Years_through_a_Population_Prevalence-Based_Modelling_Study/4040919

命令行下载

curl -L -o "S1 Input.PDF" "https://ndownloader.figshare.com/files/6506112"
curl -L -o "S1 Models.PDF" "https://ndownloader.figshare.com/files/6506124"
curl -L -o "S1 Output.XLSX" "https://ndownloader.figshare.com/files/6506139"

文件清单

• S1 Input.PDF（394.26 KB）
• S1 Models.PDF（635.25 KB）
• S1 Output.XLSX（245.72 KB）

文件总体积 1.28 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
Estimating the burden of healthcare-associated infections (HAIs) compared to other communicable diseases is an ongoing challenge given the need for good quality data on the incidence of these infections and the involved comorbidities. Based on the methodology of the Burden of Communicable Diseases in Europe (BCoDE) project and 2011–2012 data from the European Centre for Disease Prevention and Control (ECDC) point prevalence survey (PPS) of HAIs and antimicrobial use in European acute care hospitals, we estimated the burden of six common HAIs.
Methods and Findings
The included HAIs were healthcare-associated pneumonia (HAP), healthcare-associated urinary tract infection (HA UTI), surgical site infection (SSI), healthcare-associated Clostridium difficile infection (HA CDI), healthcare-associated neonatal sepsis, and healthcare-associated primary bloodstream infection (HA primary BSI). The burden of these HAIs was measured in disability-adjusted life years (DALYs). Evidence relating to the disease progression pathway of each type of HAI was collected through systematic literature reviews, in order to estimate the risks attributable to HAIs. For each of the six HAIs, gender and age group prevalence from the ECDC PPS was converted into incidence rates by applying the Rhame and Sudderth formula. We adjusted for reduced life expectancy within the hospital population using three severity groups based on McCabe score data from the ECDC PPS. We estimated that 2,609,911 new cases of HAI occur every year in the European Union and European Economic Area (EU/EEA). The cumulative burden of the six HAIs was estimated at 501 DALYs per 100,000 general population each year in EU/EEA. HAP and HA primary BSI were associated with the highest burden and represented more than 60% of the total burden, with 169 and 145 DALYs per 100,000 total population, respectively. HA UTI, SSI, HA CDI, and HA primary BSI ranked as the third to sixth syndromes in terms of burden of disease. HAP and HA primary BSI were associated with the highest burden because of their high severity. The cumulative burden of the six HAIs was higher than the total burden of all other 32 communicable diseases

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pmed.1002150（source: https://plos.figshare.com/articles/dataset/Burden_of_Six_Healthcare-Associated_Infections_on_European_Population_Health_Estimating_Incidence-Based_Disability-Adjusted_Life_Years_through_a_Population_Prevalence-Based_Modelling_Study/4040919）。