自然通风预防空气传播传染病数据集

数据集获取（Figshare）

• 源站标题：Natural Ventilation for the Prevention of Airborne Contagion
• DOI：10.1371/journal.pmed.0040068
• 发布日期：2007-02-27
• 文件数：5 个
• 文件总体积：472.58 KB
• 源站页面：https://plos.figshare.com/articles/dataset/Natural_Ventilation_for_the_Prevention_of_Airborne_Contagion/152600

命令行下载

curl -L -o "Alternative_Language_Abstract_S1.doc" "https://ndownloader.figshare.com/files/469855"
curl -L -o "Alternative_Language_Abstract_S2.doc" "https://ndownloader.figshare.com/files/469872"
curl -L -o "Alternative_Language_Abstract_S3.doc" "https://ndownloader.figshare.com/files/469884"
curl -L -o "Alternative_Language_Abstract_S4.doc" "https://ndownloader.figshare.com/files/469890"
curl -L -o "Alternative_Language_Text_S1.doc" "https://ndownloader.figshare.com/files/469898"

文件清单

• Alternative_Language_Abstract_S1.doc（28.67 KB）
• Alternative_Language_Abstract_S2.doc（33.79 KB）
• Alternative_Language_Abstract_S3.doc（25.60 KB）
• Alternative_Language_Abstract_S4.doc（34.30 KB）
• Alternative_Language_Text_S1.doc（350.21 KB）

文件总体积 472.58 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
Institutional transmission of airborne infections such as tuberculosis (TB) is an important public health problem, especially in resource-limited settings where protective measures such as negative-pressure isolation rooms are difficult to implement. Natural ventilation may offer a low-cost alternative. Our objective was to investigate the rates, determinants, and effects of natural ventilation in health care settings.
Methods and Findings
The study was carried out in eight hospitals in Lima, Peru; five were hospitals of “old-fashioned” design built pre-1950, and three of “modern” design, built 1970–1990. In these hospitals 70 naturally ventilated clinical rooms where infectious patients are likely to be encountered were studied. These included respiratory isolation rooms, TB wards, respiratory wards, general medical wards, outpatient consulting rooms, waiting rooms, and emergency departments. These rooms were compared with 12 mechanically ventilated negative-pressure respiratory isolation rooms built post-2000. Ventilation was measured using a carbon dioxide tracer gas technique in 368 experiments. Architectural and environmental variables were measured. For each experiment, infection risk was estimated for TB exposure using the Wells-Riley model of airborne infection. We found that opening windows and doors provided median ventilation of 28 air changes/hour (ACH), more than double that of mechanically ventilated negative-pressure rooms ventilated at the 12 ACH recommended for high-risk areas, and 18 times that with windows and doors closed (p p p Conclusions
Opening windows and doors maximises natural ventilation so that the risk of airborne contagion is much lower than with costly, maintenance-requiring mechanical ventilation systems. Old-fashioned clinical areas with high ceilings and large windows provide greatest protection. Natural ventilation costs little and is maintenance free, and is particularly suited to limited-resource settings and tropical climates, where the burden of TB and institutional TB transmission is highest. In settings where respiratory isolation is difficult and climate permits, windows and doors should be opened to reduce

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pmed.0040068（source: https://plos.figshare.com/articles/dataset/Natural_Ventilation_for_the_Prevention_of_Airborne_Contagion/152600）。