印度心血管死亡率、住院及相关成本的年龄和性别模式
印度心血管疾病死亡率、住院和成本的年龄性别模式数据集,基于多项调查数据,估计2004-2021年疾病负担。

基本信息
资源简介
印度心血管死亡率、住院及相关成本的年龄和性别模式
【数据集背景】
本数据集源站标题为《Age and Sex Pattern of Cardiovascular Mortality, Hospitalisation and Associated Cost in India》。配套论文《Age and Sex Pattern of Cardiovascular Mortality, Hospitalisation and Associated Cost in India》发表于 PLoS ONE(2013),DOI:10.1371/journal.pone.0062134。源站首次发布:2013-05-07。
【数据内容】
源站原始描述:Context Though the cardiovascular diseases are the leading cause of mortality in India, little is known about the human and economic loss attributed to the disease. The aim of this paper is to account the age and sex pattern of mortality, hospitalisation and the cost of hospitalisation for cardiovascular diseases in India. Data and Methods Data for the present study has been drawn from multiple sources; 52nd and 60th rounds of the National Sample Survey, Special Survey of Death, 2001–03 and the…
【数据结构与技术规格】
文件数 2 个,合计 28.57 KB。Table_S1.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,12.08 KB。Table_S2.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,16.49 KB。数据集 DOI:10.1371/journal.pone.0062134。
【主题与分类】
源站学科分类:Medicine、Biological Sciences、Sociology。主题标签:Anatomy and physiology、cardiovascular system、cardiovascular、Cardiovascular diseases in women、epidemiology、Cardiovascular disease epidemiology、Non-clinical medicine、Health care policy、Health statistics、Health care providers。
【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://plos.figshare.com/articles/dataset/_Age_and_Sex_Pattern_of_Cardiovascular_Mortality_Hospitalisation_and_Associated_Cost_in_India_/699592
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Srivastava, Akanksha; Mohanty, Sanjay K. (2016). Age and Sex Pattern of Cardiovascular Mortality, Hospitalisation and Associated Cost in India. PLOS ONE. Dataset
【使用注意】
· 源站最后修改于 2023-06-01,引用时请注意版本时效。
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:Age and Sex Pattern of Cardiovascular Mortality, Hospitalisation and Associated Cost in India
- DOI:10.1371/journal.pone.0062134
- 发布日期:2013-05-07
- 文件数:2 个
- 文件总体积:28.57 KB
- 源站页面:https://plos.figshare.com/articles/dataset/_Age_and_Sex_Pattern_of_Cardiovascular_Mortality_Hospitalisation_and_Associated_Cost_in_India_/699592
命令行下载
curl -L -o "Table_S1.docx" "https://ndownloader.figshare.com/files/1055953"
curl -L -o "Table_S2.docx" "https://ndownloader.figshare.com/files/1055954"
文件清单
Table_S1.docx(12.08 KB)Table_S2.docx(16.49 KB)
文件总体积 28.57 KB(源站 API 实测)。
数据加载示例(表格/文本类)
import pandas as pd, glob, os
files = (glob.glob(os.path.join(path, "**", "*.csv"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.tsv"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.xlsx"), recursive=True))
print("数据文件:", files)
df = pd.read_csv(files[0])
print(df.shape); print(df.columns.tolist()); print(df.head(3))
数据说明
Context
Though the cardiovascular diseases are the leading cause of mortality in India, little is known about the human and economic loss attributed to the disease. The aim of this paper is to account the age and sex pattern of mortality, hospitalisation and the cost of hospitalisation for cardiovascular diseases in India.
Data and Methods
Data for the present study has been drawn from multiple sources; 52nd and 60th rounds of the National Sample Survey, Special Survey of Death, 2001–03 and the Sample Registration System 2004–2010. Under the changing demographics and constant assumptions of mortality, hospitalisation and cost of hospitalisation, we have estimated the deaths, hospitalisation and cost of hospitalisation for cardiovascular diseases in India during 2004 to 2021. Descriptive analyses and multivariate techniques were used to understand the socio-economic differentials in cost of hospitalisation for cardiovascular diseases in India.
Findings
In India, the cardiovascular diseases accounted for an estimated 1.4 million deaths in 2004 and it is likely to be 2.1 million in 2021. An estimated 6.7 million people were hospitalised for cardiovascular diseases in 2004, and projected to be 10.9 million by 2021. Unlike mortality, majority of the hospitalisation due to cardiovascular diseases will be in the prime working age group (25–59). The estimated cost of hospitalisation for cardiovascular diseases was 94/− billion rupees in 2004 and expected to be 152/− billion rupees by 2021, at 2004 prices. The cost of hospitalisation for cardiovascular diseases was significantly high in private health centres, high fertility states and among high socio-economic groups.
Conclusion
The cardiovascular mortality and hospitalisation will be largely concentrated in the prime working age group and the cost of hospitalisation is expected to increase substantially in coming years. This calls for mobilising resources, increasing access to health insurance and devising strategies for the prevention, control and treatment of cardiovascular diseases in India.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0062134(source: https://plos.figshare.com/articles/dataset/_Age_and_Sex_Pattern_of_Cardiovascular_Mortality_Hospitalisation_and_Associated_Cost_in_India_/699592)。
数据缺失?
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