数据表1_评估中国某经济欠发达省份在COVID-19后传染病防范准备的演变.docx
该数据表汇总中国广西基层医生在COVID-19前后传染病防控知识与经验的问卷调查及SPSS分析结果。

基本信息
资源简介
数据表1_评估中国某经济欠发达省份在COVID-19后传染病防范准备的演变.docx
【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 21.00 KB,主题涵盖 physicians、grassroots hospital、infectious diseases、COVID-19、training needs,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_Assessing the evolution of infectious disease preparedness among a province with poor economy in China in the wake of COVID-19.docx》。配套论文《Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China》发表于 JAMA(2020),DOI:10.1001/jama.2020.2648。源站首次发布:2025-05-26。
【数据内容】
源站原始描述:IntroductionTo identify the factors influencing changes in knowledge and experience of infectious disease prevention and control among physicians in Guangxis grassroots hospitals before and after the COVID-19 pandemic, thereby offering insights to enhance emergency response capabilities, disease prevention and control proficiency, and the overall effectiveness of grassroots medical institutions during epidemics. MethodsUtilizing random sampling, we conducted questionnaire surveys among primary c…
【数据结构与技术规格】
文件数 1 个,合计 21.00 KB。Data Sheet 1_Assessing the evolution of infectious disease preparedness among a province with poor economy in China in the wake of COVID-19.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,21.00 KB。数据集 DOI:10.3389/fpubh.2025.1472331.s001。
【主题与分类】
源站学科分类:Public Health and Health Services not elsewhere classified。主题标签:physicians、grassroots hospital、infectious diseases、COVID-19、training needs。
【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_Assessing_the_evolution_of_infectious_disease_preparedness_among_a_province_with_poor_economy_in_China_in_the_wake_of_COVID-19_docx/29147240
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Liu, Huaying; Liang, Qun; Lai, Chen; Liang, Huiping (2025). Data Sheet 1_Assessing the evolution of infectious disease preparedness among a province with poor economy in China in the wake of COVID-19.docx. 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_Assessing the evolution of infectious disease preparedness among a province with poor economy in China in the wake of COVID-19.docx
- DOI:10.3389/fpubh.2025.1472331.s001
- 发布日期:2025-05-26
- 文件数:1 个
- 文件总体积:21.00 KB
- 源站页面:https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Assessing_the_evolution_of_infectious_disease_preparedness_among_a_province_with_poor_economy_in_China_in_the_wake_of_COVID-19_docx/29147240
命令行下载
curl -L -o "Data Sheet 1_Assessing the evolution of infectious disease preparedness among a province with poor economy in China in the wake of COVID-19.docx" "https://ndownloader.figshare.com/files/54822296"
文件清单
Data Sheet 1_Assessing the evolution of infectious disease preparedness among a province with poor economy in China in the wake of COVID-19.docx(21.00 KB)
文件总体积 21.00 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
IntroductionTo identify the factors influencing changes in knowledge and experience of infectious disease prevention and control among physicians in Guangxis grassroots hospitals before and after the COVID-19 pandemic, thereby offering insights to enhance emergency response capabilities, disease prevention and control proficiency, and the overall effectiveness of grassroots medical institutions during epidemics.
MethodsUtilizing random sampling, we conducted questionnaire surveys among primary care physicians from Guangxis primary medical institutions in June 2019 and October 2022, and analyzed the data with SPSS software.
ResultsPost-COVID-19, there was a significant increase in the scores for theoretical knowledge (77.10 ± 14.83 vs. 63.10 ± 15.11, p The capacity for infectious disease prevention and control among Guangxis grassroots hospital physicians has significantly improved following COVID-19. The high engagement in related training and emergency response efforts reflects a strong sense of professional identity and commitment. Ongoing, needs-based infectious disease training is recommended to ensure that grassroots medical staff can optimally contribute to the management of infectious disease emergencies.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.3389/fpubh.2025.1472331.s001(source: https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Assessing_the_evolution_of_infectious_disease_preparedness_among_a_province_with_poor_economy_in_China_in_the_wake_of_COVID-19_docx/29147240)。
数据缺失?
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