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Global Scale
Data Details

High Risk Analysis Dataset on Elderly Patients with Hypertension in Xiji, Ningxia of China (2015-2016)


ZHANG Mingxin1WANG Yingjing1LI Hao2WANG Xuezhong3
1 College of Resources and Environmental Science，Ningxia University，Yinchuan 750021，China2 College of geography and tourism，Shaanxi Normal University，Xi'an 710062，China3 Department of Cardiology，General Hospital of Ningxia Medical University，Yinchuan 750006，China

DOI:10.3974/geodb.2021.03.11.V1

Published:Mar. 2021

Visitors：3125       Data Files Downloaded：54      
Data Downloaded：5.88 MB      Citations：

Key Words：

Xiji County,elderly people,high-risk hypertensive patients,morbidity

Abstract：

The high risk analysis dataset on elderly patients with hypertension in Xiji, Ningxia of China was developed based on the statistics and analysis data integrating with geo-spatial data on high-risk hypertensive patients in the hospitals of Xiji County and surrounding areas. The dataset includes: (1) the spatial data of high ways, roads and boundary of towns in Xiji county; (2) monthly elderly patients with high-risk hypertension in Xiji County from 2015 to 2016; (3) elderly patients with high-risk hypertension in each township of Xiji County from 2015 to 2016; (4) the morbidity of high-risk elderly patients with hypertension in each township of Xiji County from 2015 to 2016. The dataset is archived in .shp and .xlsx data formats, and consists of 25 data files with data size of 258 KB (compressed to one single file with 111 KB).Browse

Foundation Item：

Ningxia Natural Science Foundation (2020AAC03114)

Data Citation：

ZHANG Mingxin, WANG Yingjing, LI Hao, WANG Xuezhong.High Risk Analysis Dataset on Elderly Patients with Hypertension in Xiji, Ningxia of China (2015-2016)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2021. https://doi.org/10.3974/geodb.2021.03.11.V1.

ZHANG Mingxin, WANG Yingjing, LI Hao, et al. Morbidity dataset of high risk patients with Hypertension over 60a in Xiji county of China [J]. Journal of Global Change Data & Discovery, 2021, 5(2): 213-218. https://doi.org/10.3974/geodp.2021.02.14.

References：

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Data Product:

ID Data Name Data Size Operation
0Datapaper_ElderlyPatients_HypertensionXiji.pdf274.00kbDownLoad
1 ElderlyPatients_HypertensionXiji.rar 111.42KB
Co-Sponsors

Institute of Geographic Sciences and Natural Resources Research，Chinese Academy of Sciences

The Geographical Society of China

Parteners

Committee on Data for Science and Technology (CODATA) Task Group on Preservation of and Access to Scientific and Technical Data in/for/with Developing Countries (PASTD)

Jomo Kenyatta University of Agriculture and Technology

Digital Linchao GeoMuseum