哮喘和慢性阻塞性肺疾病药物处方索赔:COVID-19疫情下英格兰国家处方的时间序列分析(2019年1月至2020年10月)

本数据集包含英格兰2019年1月至2020年10月哮喘和COPD药物月度处方索赔数据,用于分析新冠疫情对药物使用的影响。

Taylor & FrancisTaylor & Francis
DataCite Commons
2021-12-06 更新
浏览 20
表格、时间序列asthmachronic obstructive pulmonary diseaseprescriptionsCOVID-19
Asthma and COPD medicines prescription-claims: A time-series analysis of England’s national prescriptions during the COVID-19 pandemic (Jan 2019 to Oct 2020)

基本信息

模态
表格、时间序列
大小
0.001228708 GB
许可
CC BY 4.0
创建/更新时间
2021-12-06
版本
v1

资源简介

哮喘和慢性阻塞性肺疾病药物处方索赔:COVID-19疫情下英格兰国家处方的时间序列分析(2019年1月至2020年10月)

【一句话概览】

本数据集是 figshare 公开的结构化表格数据集,收录 4 个文件、合计 1.23 MB,主题涵盖 asthma、chronic obstructive pulmonary disease、prescriptions,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《Asthma and COPD medicines prescription-claims: A time-series analysis of England’s national prescriptions during the COVID-19 pandemic (Jan 2019 to Oct 2020)》。配套论文《Asthma and COPD medicines prescription-claims: A time-series analysis of England’s national prescriptions during the COVID-19 pandemic (Jan 2019 to Oct 2020)》发表于 Expert Review of Respiratory Medicine(2021),DOI:10.1080/17476348.2022.1985470。项目资助方:Funding for this study was provided by the University of Brighton.。源站首次发布:2021-12-06。

【数据内容】

源站原始描述:During the pandemic, there have been disruptions to how patients seek care. To investigate monthly prescription claims for asthma and chronic obstructive pulmonary disease (COPD) medicines during the first UK wave, interrupted time series (ITS) analysis was used. A national cohort of community patients’ data were examined. Descriptive statistics show salbutamol, aminophylline, ipratropium, and theophylline remain below pre-pandemic levels. Montelukast showed pre-pandemic monthly increase (Est. 6…

【数据结构与技术规格】

文件数 4 个,合计 1.23 MB。IERX supp.pdf:application/pdf,577.86 KB。IERX supp1.pdf:application/pdf,394.69 KB。IERX supp2.pdf:application/pdf,206.09 KB。数据集 DOI:10.6084/m9.figshare.17130023.v1。

【主题与分类】

源站学科分类:Medicine、Biotechnology、Immunology、Cancer、Science Policy。主题标签:asthma、chronic obstructive pulmonary disease、prescriptions。

【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://tandf.figshare.com/articles/dataset/Asthma_and_COPD_medicines_prescription-claims_A_time-series_analysis_of_England_s_national_prescriptions_during_the_COVID-19_pandemic_Jan_2019_to_Oct_2020_/17130023

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Asthma and COPD medicines prescription-claims: A time-series analysis of England’s national prescriptions during the COVID-19 pandemic (Jan 2019 to Oct 2020). Taylor & Francis. Barrett, Ravina; Barrett, Robert

【使用注意】

· 源站最后修改于 2023-06-04,引用时请注意版本时效。

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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)

命令行下载

curl -L -o "IERX supp.pdf" "https://ndownloader.figshare.com/files/31672724"
curl -L -o "IERX supp1.pdf" "https://ndownloader.figshare.com/files/31672727"
curl -L -o "IERX supp2.pdf" "https://ndownloader.figshare.com/files/31672730"
curl -L -o "IERX supp3.pdf" "https://ndownloader.figshare.com/files/31672733"

文件清单

  • IERX supp.pdf(577.86 KB)
  • IERX supp1.pdf(394.69 KB)
  • IERX supp2.pdf(206.09 KB)
  • IERX supp3.pdf(50.07 KB)

文件总体积 1.23 MB(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

During the pandemic, there have been disruptions to how patients seek care.
To investigate monthly prescription claims for asthma and chronic obstructive pulmonary disease (COPD) medicines during the first UK wave, interrupted time series (ITS) analysis was used. A national cohort of community patients’ data were examined.
Descriptive statistics show salbutamol, aminophylline, ipratropium, and theophylline remain below pre-pandemic levels.
Montelukast showed pre-pandemic monthly increase (Est. 67,151 doses, P = 0.05, 95% CI: 1011, 133,291), followed by a jump of 1.6 million doses at March , followed by monthly declines (Est. −112,098 doses, P = 0.216, 95% CI: -293,499, 69,303).
Before the pandemic, tiotropium, salbutamol, aminophylline, and ipratropium (P = 0.003) show monthly declines but theophylline and beclometasone showed increases. In March , salbutamol (P = 0.033) and ipratropium (P = 0.001) show a significant jump. After March , ipratropium continues with a downward trajectory (P = 0.001), with a generalized negative trend for all other agents. Salbutamol confidence bounds become negative after March 2020. Some brands were unavailable.
An ‘unmet’ medical gap is identified. While it is essential to understand the underlying reasons, urgent action needs to be taken to reassess patients and ensure continuity of care.
PLAIN LANGUAGE SUMMARIES (PLS)
Asthma and chronic obstructive pulmonary disease (COPD) are long-term lung conditions, affecting 6 million & 1.2 million people respectively and causing breathing difficulties. Sufferers are at a higher risk of chest infections including the coronavirus. Regular use of prescribed medication stabilizes these conditions and prevents them from getting worse. It is common to be prescribed a combination of five to eight oral and inhaled medications.
We investigated the impact of the pandemic on the dispensing of these specific medicines across England during the first wave. The English Prescribing Dataset was checked from January 2019 to February 2020 (14 months before the pandemic) and March to October 2020 (8 months after its onset).
We find that since March 2020, salbutamol, aminophylline, ipratropium, and

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.17130023.v1(source: https://tandf.figshare.com/articles/dataset/Asthma_and_COPD_medicines_prescription-claims_A_time-series_analysis_of_England_s_national_prescriptions_during_the_COVID-19_pandemic_Jan_2019_to_Oct_2020_/17130023)。

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