Analyzing Dataset of Spatio-temporal Dynamics in the Prevention and Treatment of Women Common Diseases in China (2007-2020)
FAN Zixuan1,2WANG Peihan1,3WANG Sike1,4PEI Chenyan2XU Chengdong1,3LI Zhirui5LIU Liyuan2MA Jing*6WANG Zhenbo1,3
1 Institute of Geographic Sciences and Natural Resources Research，Chinese Academy of Sciences，Beijing 100101，China2 School of Health Policy and Management，Chinese Academy of Medical Sciences & Peking Union Medical College，Beijing 100730，China3 University of Chinese Academy of Sciences，Beijing 100049，China4 College of Landscape Architecture，Beijing Forestry University，Beijing 100083，China5 Department of Disease Control and Prevention，Sichuan provincial Center for Disease Control and Prevention，Chengdu 610041，China6 Institute for Hospital Management of Tsinghua University，Shenzhen 518071，China
DOI:10.3974/geodb.2025.02.08.V1
Published:Feb. 2025
Visitors：1073 Data Files Downloaded：39
Data Downloaded：4397.52 MB Citations：
Key Words：
common diseases in women,inspection rate,spatio-temporal analysis,2007-2020
Abstract：
The Analyzing Dataset of Spatio-temporal Dynamics in the Prevention and Treatment of Women Common Diseases in China (2007-2020) was developed based on the statistical data on women's common disease prevention and treatment work provided by China Health Statistics Yearbook, China Health and Family Planning Yearbook, and China health Yearbook, integrated with descriptive statistical analysis, data structuring, Interrupted Time Series Analysis (ITS), global spatial auto-correlation analysis and Getis-Ord Gi* cold hotspot analysis. The dataset includes: (1) differences in the inspection rate of common diseases among women in China and 31 provinces from 2007 to 2020; (2) yearly growth rate of inspection rate on women's common disease from 2009 to 2020; (3) results of ITS analysis of the inspection rate of women common diseases from 2007 to 2020; (4) original and amended data on the number of persons to be inspected, inspected and the inspection rate during 2008-2010; (5) the original data used in the calculation, including tabular data and vector data on the inspection rate of women's common diseases and the prevalence rate of five types of common women's diseases in each province from 2007-2020. The dataset is archived in .xlsx and .shp data formats, and consists of 115 data files with data size of 169 MB (Compressed into one file with 112 MB).
Foundation Item：
National Natural Science Foundation of China (42130713)
Data Citation：
FAN Zixuan, WANG Peihan, WANG Sike, PEI Chenyan, XU Chengdong, LI Zhirui, LIU Liyuan, MA Jing*, WANG Zhenbo. Analyzing Dataset of Spatio-temporal Dynamics in the Prevention and Treatment of Women Common Diseases in China (2007-2020)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2025. https://doi.org/10.3974/geodb.2025.02.08.V1.
References：
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Data Product:
| ID |
Data Name |
Data Size |
Operation |
| 1 |
WomenCommonDisease2007-2020.rar |
115463.19KB |
|