病原体定植指标
长期护理设施中五种呼吸道病原体的定植指标纵向数据集，包含患病率、持续性、细菌负荷及共定植模式。
基本信息
资源简介
病原体定植指标
【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 5.63 KB，主题涵盖 tested using qpcr、term care facilities、effective infection control、74 %), 31、mortality among residents，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《Colonization metrics by pathogen.》。源站首次发布：2025-08-22。
【数据内容】
源站原始描述：Nursing home acquired pneumonia (NHAP), and its subset – aspiration-associated pneumonia, is a leading cause of morbidity and mortality among residents in long-term care facilities (LTCFs). Understanding colonization dynamics of respiratory pathogens in LTCF residents is essential for effective infection control. This study examines the longitudinal trends in prevalence, persistence, bacterial load, and co-colonization patterns of five respiratory pathogens in three LTCFs in Phoenix, Arizona. An…
【数据结构与技术规格】
文件数 1 个，合计 5.63 KB。Table 1.xls：application/vnd.ms-excel，5.63 KB。数据集 DOI：10.1371/journal.pgph.0004954.t001。
【主题与分类】
源站学科分类：Medicine、Microbiology、Biotechnology、Environmental Sciences not elsewhere classified、Immunology、Biological Sciences not elsewhere classified。主题标签：tested using qpcr、term care facilities、effective infection control、74 %), 31、mortality among residents、subset – aspiration、39 %), 9、understanding colonization dynamics、five respiratory pathogens、respiratory pathogens。
【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/Colonization_metrics_by_pathogen_/29970458
使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。
规范引用：Whealy, Ryann N.; Roberts, Alexander; Furstenau, Tara N.; Timm, Skylar; Maltinsky, Sara; Wells, Sydney J.; et al. (2025). Colonization metrics by pathogen.. PLOS Global Public Health. 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：Colonization metrics by pathogen.
- DOI：10.1371/journal.pgph.0004954.t001
- 发布日期：2025-08-22
- 文件数：1 个
- 文件总体积：5.63 KB
- 源站页面：https://plos.figshare.com/articles/dataset/Colonization_metrics_by_pathogen_/29970458
命令行下载
curl -L -o "Table 1.xls" "https://ndownloader.figshare.com/files/57365963"
文件清单
Table 1.xls（5.63 KB）
文件总体积 5.63 KB（源站 API 实测）。
数据说明
Nursing home acquired pneumonia (NHAP), and its subset – aspiration-associated pneumonia, is a leading cause of morbidity and mortality among residents in long-term care facilities (LTCFs). Understanding colonization dynamics of respiratory pathogens in LTCF residents is essential for effective infection control. This study examines the longitudinal trends in prevalence, persistence, bacterial load, and co-colonization patterns of five respiratory pathogens in three LTCFs in Phoenix, Arizona. Anterior nares and oral swabs were collected every other week and tested using qPCR for Haemophilus influenzae, Pseudomonas aeruginosa, Streptococcus pneumoniae, Staphylococcus aureus, and Chlamydia pneumoniae. Weekly average positivity rates were 17.75% for H. influenzae (0% – 39.39%), 9.95% for P. aeruginosa (0% – 37.74%), 31.89% for S. pneumoniae (1.79% – 41.67%), and for 28.00% for S. aureus (0% – 55.36%). C. pneumoniae was not detected. H. influenzae and S. pneumoniae predominantly colonized the oral cavity, while P. aeruginosa and S. aureus predominantly colonized the nasal cavity. Colonization by S. pneumoniae and S. aureus was significantly more persistent than H. influenzae and P. aeruginosa, with persistence correlating with significantly higher bacterial loads. Co-colonization did occur in ~20% of positive samples but appeared to be due to random chance. This study reveals distinct colonization patterns among respiratory pathogens in LTCF residents, highlighting differences in site-specific prevalence, persistence, and bacterial load. These findings underscore the importance of longitudinal monitoring to inform targeted infection control strategies in LTCFs.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pgph.0004954.t001（source: https://plos.figshare.com/articles/dataset/Colonization_metrics_by_pathogen_/29970458）。
数据缺失？
依托陕西、四川两大基地，我们与超过十家三甲医院建立直接合作关系，覆盖合规授权、采集治理、专业标注、数据交付的全流程，为AI医疗团队提供即拿即用的高质量临床数据。
⚡️ 需要数据支持或标注服务？立即联系我们获取专业方案。
