医疗系统崩溃对医院获得性感染动态影响的数学方法数据表1
医疗系统崩溃对医院获得性感染动态影响的数学建模相关数据,包含模型参数和模拟结果。

基本信息
资源简介
医疗系统崩溃对医院获得性感染动态影响的数学方法数据表1
【一句话概览】
本数据集是 figshare 公开的结构化表格数据集,收录 1 个文件、合计 530.09 KB,主题涵盖 basic reproduction number、healthcare system、modeling、nosocomial infections、simulations,可用于统计建模、特征工程与队列分析,CC BY 4.0 许可开放获取。
【数据集背景】
本数据集源站标题为《Data Sheet 1_Impact of healthcare system collapse on hospital-acquired infection dynamics: a mathematical approach.zip》。配套论文《Vancomycin-resistant enterococci in intensive-care hospital settings: Transmission dynamics, persistence, and the impact of infection control programs》发表于 Proceedings of the National Academy of Sciences(1999),DOI:10.1073/pnas.96.12.6908。源站首次发布:2026-01-23。
【数据内容】
源站原始描述:The collapse of healthcare systems poses a serious threat to hospital environments, increasing the spread of nosocomial infections. Limited resources, overcrowding, and weakened infection control measures allow harmful pathogens to persist on surfaces, medical equipment, and in the air. Consequently, patients and healthcare workers face a higher risk of infection, leading to increased morbidity. In this study, we develop a mathematical model to examine how a failing healthcare system influences…
【数据结构与技术规格】
文件数 1 个,合计 530.09 KB。Data Sheet 1_Impact of healthcare system collapse on hospital-acquired infection dynamics: a mathematical approach.zip:application/zip,530.09 KB。数据集 DOI:10.3389/fams.2025.1713373.s001。
【主题与分类】
源站学科分类:Applied Mathematics not elsewhere classified。主题标签:basic reproduction number、healthcare system、modeling、nosocomial infections、simulations、stability。
【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://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Impact_of_healthcare_system_collapse_on_hospital-acquired_infection_dynamics_a_mathematical_approach_zip/31132159
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Shaale, Maria M.; Joel, Luke O.; Nyabadza, Farai (2026). Data Sheet 1_Impact of healthcare system collapse on hospital-acquired infection dynamics: a mathematical approach.zip. Frontiers. 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:Data Sheet 1_Impact of healthcare system collapse on hospital-acquired infection dynamics: a mathematical approach.zip
- DOI:10.3389/fams.2025.1713373.s001
- 发布日期:2026-01-23
- 文件数:1 个
- 文件总体积:530.09 KB
- 源站页面:https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Impact_of_healthcare_system_collapse_on_hospital-acquired_infection_dynamics_a_mathematical_approach_zip/31132159
命令行下载
curl -L -o "Data Sheet 1_Impact of healthcare system collapse on hospital-acquired infection dynamics: a mathematical approach.zip" "https://ndownloader.figshare.com/files/61271839"
文件清单
Data Sheet 1_Impact of healthcare system collapse on hospital-acquired infection dynamics: a mathematical approach.zip(530.09 KB)
文件总体积 530.09 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
The collapse of healthcare systems poses a serious threat to hospital environments, increasing the spread of nosocomial infections. Limited resources, overcrowding, and weakened infection control measures allow harmful pathogens to persist on surfaces, medical equipment, and in the air. Consequently, patients and healthcare workers face a higher risk of infection, leading to increased morbidity. In this study, we develop a mathematical model to examine how a failing healthcare system influences the spread of nosocomial infections in hospitals. The model properties, such as the positivity and boundedness of solutions, are established. The disease-free equilibrium is determined and its stability is analyzed using the basic reproductive number R0. Model simulations are performed to determine the influence of some important parameters on the reproduction number of the model. The findings show that a collapsing healthcare system significantly affects the control of nosocomial infections in hospitals, as inadequate infection control measures lead to a more contaminated environment. Therefore, strengthening healthcare systems is essential to reducing nosocomial infections and ensuring safer hospital environments. These results have huge implications for the management of nosocomial infections in hospitals.
2000 MSC: 34C11, 34C60, 92B05
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.3389/fams.2025.1713373.s001(source: https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Impact_of_healthcare_system_collapse_on_hospital-acquired_infection_dynamics_a_mathematical_approach_zip/31132159)。
数据缺失?
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