田纳西州镰状细胞病描述性流行病学:2008至2019年基于人群的估计数据表

田纳西州2008–2019年镰状细胞病描述性流行病学补充数据表,基于Medicaid与新生儿筛查等多源数据,分析患者数量、人口学、城乡分布及专科医疗可及性。

NIAID Data Ecosystem
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表格sickle cellsurveillanceSCDCnewborn screening (NBS)Medicaid
Descriptive epidemiology of sickle cell disease in Tennessee: population-based estimates from 2008 to 2019

基本信息

模态
表格
大小
0.000659515 GB
许可
CC BY 4.0
创建/更新时间
2026-10-10
版本
v1

资源简介

田纳西州镰状细胞病描述性流行病学:2008至2019年基于人群的估计数据表

【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 659.51 KB,主题涵盖 sickle cell、surveillance、SCDC、newborn screening (NBS)、Medicaid,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《DataSheet_1_Descriptive epidemiology of sickle cell disease in Tennessee: population-based estimates from 2008 to 2019.zip》。配套论文《Medical care utilization and mortality in sickle cell disease: A population-based study》发表于 American Journal of Hematology(2005),DOI:10.1002/ajh.20485。源站首次发布:2023-11-08。

【数据内容】

源站原始描述:IntroductionThe Sickle Cell Data Collection Program (SCDC) is a multi-state initiative utilizing multiple data sources to estimate population prevalence of Sickle Cell Disease (SCD) with the goal of improving quality of life and health outcomes among those affected. SCDC in Tennessee operates as a multi-site, interdisciplinary team using multiple sources of data to learn more about SCD in Tennessee. MethodsThis analysis characterizes the number, demographics, and proximity to specialty care of i…

【数据结构与技术规格】

文件数 1 个,合计 659.51 KB。DataSheet_1_Descriptive epidemiology of sickle cell disease in Tennessee: population-based estimates from 2008 to 2019.zip:application/zip,659.51 KB。数据集 DOI:10.3389/frhem.2023.1277548.s001。

【主题与分类】

源站学科分类:Hematology、Haematological Tumours、Genetic Immunology、Stem Cells、Cancer Therapy (excl. Chemotherapy and Radiation Therapy)。主题标签:sickle cell、surveillance、SCDC、newborn screening (NBS)、Medicaid。

【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/DataSheet_1_Descriptive_epidemiology_of_sickle_cell_disease_in_Tennessee_population-based_estimates_from_2008_to_2019_zip/24522634

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

规范引用:Plaxco, Allison P.; Hankins, Jane S.; Davis, Robert; Dudley, Judy; Young, Amanda J.; Mukhopadyay, Ayesha; et al. (2023). DataSheet_1_Descriptive epidemiology of sickle cell disease in Tennessee: population-based estimates from 2008 to 2019.zip. Frontiers. Dataset

官方服务

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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 "DataSheet_1_Descriptive epidemiology of sickle cell disease in Tennessee: population-based estimates from 2008 to 2019.zip" "https://ndownloader.figshare.com/files/43074895"

文件清单

  • DataSheet_1_Descriptive epidemiology of sickle cell disease in Tennessee: population-based estimates from 2008 to 2019.zip(659.51 KB)

文件总体积 659.51 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

IntroductionThe Sickle Cell Data Collection Program (SCDC) is a multi-state initiative utilizing multiple data sources to estimate population prevalence of Sickle Cell Disease (SCD) with the goal of improving quality of life and health outcomes among those affected. SCDC in Tennessee operates as a multi-site, interdisciplinary team using multiple sources of data to learn more about SCD in Tennessee.
MethodsThis analysis characterizes the number, demographics, and proximity to specialty care of individuals living with SCD in Tennessee who have been covered by Medicaid or identified by newborn screening. We compared demographic patterns of individuals with SCD living in rural areas with those living in urban areas, as well as those living in counties contributing more than 50 individuals to the cohort, respectively, to demographic patterns of individuals with SCD in the rest of the state, using Chi-Square or Fisher’s exact tests.
ResultsFindings show that overall, 66.1% of all SCD patients identified through newborn screening were residents of Davidson and Shelby counties at the time of birth, and 81.8% of those identified through Medicaid claims lived in Davidson, Hamilton, Knox, Madison, Montgomery, Rutherford, or Shelby County. In total, 8.6% of the cohort lived in rural settings and 91.4% in urban settings. Of the 95 counties in Tennessee, 75 (78.9%) had at least 1 to 40 residents with SCD, yet of these 75 counties, less than half had a hematology/oncology trained provider practicing within them.
DiscussionThis analysis brings us closer to understanding how many people with SCD live in rural areas of Tennessee and the challenges they face in seeking the care needed to adequately manage their disease. Acute healthcare utilization remains highest in the young adulthood years. This analysis provides insight into how healthcare utilization patterns among individuals with SCD vary by age group and over time.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/frhem.2023.1277548.s001(source: https://frontiersin.figshare.com/articles/dataset/DataSheet_1_Descriptive_epidemiology_of_sickle_cell_disease_in_Tennessee_population-based_estimates_from_2008_to_2019_zip/24522634)。

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