德克萨斯州ICU床位空间可达性日变化及其与COVID-19病死率的关系数据集

包含德克萨斯州ICU床位空间可达性日变化数据及代码,用于分析其与COVID-19病死率的关系。

Lyu, Fangzheng; Wang, Shaowen; Park, Jinwoo; Yeon Han, Su; Michels, AlexanderLyu, Fangzheng; Wang, Shaowen; Park, Jinwoo; Yeon Han, Su; Michels, Alexander
Figshare
2023-03-21 更新
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表格GeographyGeospatial Information SystemsHealth CareCOVID-19
Daily changes in spatial accessibility to intensive care unit (ICU) beds and their relationship with the case-fatality ratio of COVID-19 in the state of Texas

基本信息

模态
表格
大小
0.366150071 GB
许可
CC BY 4.0
创建/更新时间
2023-03-21
版本
v1

资源简介

德克萨斯州ICU床位空间可达性日变化及其与COVID-19病死率的关系数据集

【数据集背景】

本数据集源站标题为《Daily changes in spatial accessibility to intensive care unit (ICU) beds and their relationship with the case-fatality ratio of COVID-19 in the state of Texas》。源站首次发布:2023-03-21。

【数据内容】

源站原始描述:This dataset and code are presented to explain a manuscript entitled "Daily changes in spatial accessibility to intensive care unit (ICU) beds and their relationship with the case-fatality ratio of COVID-19 in the state of Texas", which is under review in Health & Place. To run the code properly, data.zip should be unzipped in the same directory with the other files (''Daily changes in spatial accessibility to ICU beds during the COVID-19 pandemic.ipynb'' and ''utils.py'')

文件 utils.py 为文本内容,开头为:import osmnx as ox import networkx as nx from tqdm import tqdm import pandas as pd import numpy as np import datetime # DISTANCE DECAY minutes = [0, 5, 10, 15…

文件 Daily changes in spatial accessibility to ICU beds during the COVID-19 pandemic V2.ipynb 为 JSON 结构(顶层键:cells、metadata、nbformat、nbformat_minor)。

【数据结构与技术规格】

文件数 3 个,合计 366.15 MB。utils.py:text/x-python,10.35 KB。Daily changes in spatial accessibility to ICU beds during the COVID-19 pandemic V2.ipynb:text/html,1.48 MB。数据集 DOI:10.6084/m9.figshare.20398995.v1。

【主题与分类】

源站学科分类:Human geography not elsewhere classified、Geospatial information systems and geospatial data modelling、Health care administration。主题标签:Geography、Geospatial Information Systems、Health Care。

【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://figshare.com/articles/dataset/Daily_changes_in_spatial_accessibility_to_intensive_care_unit_ICU_beds_and_their_relationship_with_the_case-fatality_ratio_of_COVID-19_in_the_state_of_Texas/20398995

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

规范引用:Park, Jinwoo; Michels, Alexander; Lyu, Fangzheng; Yeon Han, Su; Wang, Shaowen (2023). Daily changes in spatial accessibility to intensive care unit (ICU) beds and their relationship with the case-fatality ratio of COVID-19 in the state of Texas. figshare. Dataset

官方服务

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陕川双基地 × 超十家三甲医院直连

从合规授权、采集治理、专业标注到数据集交付,我们提供全链路闭环服务,让高质量临床数据即拿即用。

⚡️ 需要原始数据或标注支持?联系我们获取定制方案。

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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。

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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 "data.zip" "https://ndownloader.figshare.com/files/36468030"
curl -L -o "utils.py" "https://ndownloader.figshare.com/files/39185147"
curl -L -o "Daily changes in spatial accessibility to ICU beds during the COVID-19 pandemic V2.ipynb" "https://ndownloader.figshare.com/files/39185150"

文件清单

  • data.zip(364.66 MB)
  • utils.py(10.35 KB)
  • Daily changes in spatial accessibility to ICU beds during the COVID-19 pandemic V2.ipynb(1.48 MB)

文件总体积 366.15 MB(源站 API 实测)。

数据说明

This dataset and code are presented to explain a manuscript entitled “Daily changes in spatial accessibility to intensive care unit (ICU) beds and their relationship with the case-fatality ratio of COVID-19 in the state of Texas”, which is under review in Health & Place. To run the code properly, data.zip should be unzipped in the same directory with the other files (‘‘Daily changes in spatial accessibility to ICU beds during the COVID-19 pandemic.ipynb’’ and ‘‘utils.py’’).

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.20398995.v1(source: https://figshare.com/articles/dataset/Daily_changes_in_spatial_accessibility_to_intensive_care_unit_ICU_beds_and_their_relationship_with_the_case-fatality_ratio_of_COVID-19_in_the_state_of_Texas/20398995)。

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。

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