医疗病房艰难梭菌传播数学模型与诊断隔离策略成本效益分析数据集

数据集获取（Figshare）

• 源站标题：A mathematical model of <i>Clostridium difficile</i> transmission in medical wards and a cost-effectiveness analysis comparing different strategies for laboratory diagnosis and patient isolation
• DOI：10.1371/journal.pone.0171327
• 发布日期：2017-02-10
• 文件数：4 个
• 文件总体积：207.36 KB
• 源站页面：https://plos.figshare.com/articles/dataset/A_mathematical_model_of_i_Clostridium_difficile_i_transmission_in_medical_wards_and_a_cost-effectiveness_analysis_comparing_different_strategies_for_laboratory_diagnosis_and_patient_isolation/4641493

命令行下载

curl -L -o "S1 Fig.doc" "https://ndownloader.figshare.com/files/7565254"
curl -L -o "S2 Fig.doc" "https://ndownloader.figshare.com/files/7565269"
curl -L -o "S1 Table.doc" "https://ndownloader.figshare.com/files/7565290"
curl -L -o "S2 Table.doc" "https://ndownloader.figshare.com/files/7565293"

文件清单

• S1 Fig.doc（86.02 KB）
• S2 Fig.doc（54.78 KB）
• S1 Table.doc（31.74 KB）
• S2 Table.doc（34.82 KB）

文件总体积 207.36 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
Clostridium difficile infection (CDI) is a common and potentially fatal healthcare-associated infection. Improving diagnostic tests and infection control measures may prevent transmission. We aimed to determine, in resource-limited settings, whether it is more effective and cost-effective to allocate resources to isolation or to diagnostics.
Methods
We constructed a mathematical model of CDI transmission based on hospital data (9 medical wards, 350 beds) between March 2010 and February 2013. The model consisted of three compartments: susceptible patients, asymptomatic carriers and CDI patients. We used our model results to perform a cost-effectiveness analysis, comparing four strategies that were different combinations of 2 test methods (the two-step test and uniform PCR) and 2 infection control measures (contact isolation in multiple-bed rooms or single-bed rooms/cohorting). For each strategy, we calculated the annual cost (of CDI diagnosis and isolation) for a decrease of 1 in the average daily number of CDI patients; the strategy of the two-step test and contact isolation in multiple-bed rooms was the reference strategy.
Results
Our model showed that the average number of CDI patients increased exponentially as the transmission rate increased. Improving diagnosis by adopting uniform PCR assay reduced the average number of CDI cases per day per 350 beds from 9.4 to 8.5, while improving isolation by using single-bed rooms reduced the number to about 1; the latter was cost saving.
Conclusions
CDI can be decreased by better isolation and more sensitive laboratory methods. From the hospital perspective, improving isolation is more cost-effective than improving diagnostics.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0171327（source: https://plos.figshare.com/articles/dataset/A_mathematical_model_of_i_Clostridium_difficile_i_transmission_in_medical_wards_and_a_cost-effectiveness_analysis_comparing_different_strategies_for_laboratory_diagnosis_and_patient_isolation/4641493）。