COVID-19疫情对苏格兰初级保健中抗生素使用利用和质量的影响：基于人群的分段中断时间序列分析

数据集获取（Figshare）

• 源站标题：Impact of the COVID-19 pandemic on the utilisation and quality of antibiotic use in the Scottish primary care setting: a population-based segmented interrupted time-series analysis
• DOI：10.6084/m9.figshare.26042022.v1
• 发布日期：2024-06-14
• 文件数：2 个
• 文件总体积：30.21 KB
• 源站页面：https://tandf.figshare.com/articles/dataset/Impact_of_the_COVID-19_pandemic_on_the_utilisation_and_quality_of_antibiotic_use_in_the_Scottish_primary_care_setting_a_population-based_segmented_interrupted_time-series_analysis/26042022

命令行下载

curl -L -o "Supplemarrty  File 1.docx" "https://ndownloader.figshare.com/files/47062332"
curl -L -o "Supplemarrty  File 2.docx" "https://ndownloader.figshare.com/files/47062335"

文件清单

• Supplemarrty File 1.docx（15.77 KB）
• Supplemarrty File 2.docx（14.44 KB）

文件总体积 30.21 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

Inappropriate use of antibiotics is expected to increase during the COVID-19 pandemic, but there are limited data on COVID-19’s long-term impact. We assessed the impact of COVID-19 on the quantity and quality of antibiotic use in Scotland.
A segmented interrupted time series was applied to monthly dispensed antibiotics using prescription cost analysis data from March/2019 to March/2023. Antibiotic use was quantified using the number of items dispensed/1000 inhabitants (TIDs) and defined daily dose/1000 inhabitants/day (DIDs). The quality of antibiotic use was assessed using key quality indicators including the WHO AWaRe classification, proportion of broad-spectrum and ”4C”-antibiotics.
Overall, for all antibiotics, there was a non-significant increase in TIDs and DIDs before the first lockdown (March/2020) (β1), but a decline in the level immediately after the first (β2) and second lockdowns (β4) (November/2020), albeit non-significant. However, a significant increase in the time trend after the second lockdown (β5) for all antibiotic classes was observed. COVID-19 had no negative impact on AWaRe utilisation, with the proportion of all antibiotics from the Access group increasing from 76% in March/2019 to 90% in March/2023. The proportion of ”4C” antibiotic reduced significantly after the second lockdown.
Neither the utilisation nor the quality of total antibiotic use appeared to have been significantly affected by COVID-19.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.26042022.v1（source: https://tandf.figshare.com/articles/dataset/Impact_of_the_COVID-19_pandemic_on_the_utilisation_and_quality_of_antibiotic_use_in_the_Scottish_primary_care_setting_a_population-based_segmented_interrupted_time-series_analysis/26042022）。