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Spatial Analysis of China Province-level Perinatal Mortality
1The Research Center of Population, Resources and Environment, School of Economics, Huazhong University of Science and Technology, Wuhan, China.
Iranian Journal of Public Health
|July 12, 2016
Summary
Perinatal mortality in China shows significant spatial clustering. Improvements in healthcare and economic development impact mortality rates in surrounding regions, highlighting the need for coordinated strategies.
Area of Science:
- Public Health
- Spatial Epidemiology
- Health Economics
Background:
- Investigates spatial patterns of perinatal mortality across China's provinces.
- Examines the influence of healthcare resources and socioeconomic factors on perinatal mortality.
Purpose of the Study:
- To determine spatial patterns of perinatal mortality in China.
- To analyze the impact of healthcare resources and socioeconomic factors on perinatal mortality.
Main Methods:
- Utilized Global Moran's I index to assess spatial autocorrelation.
- Employed Moran's I scatter plot for spatial clustering analysis.
- Applied spatial econometric models to investigate relationships between mortality and contributing factors.
Main Results:
- Confirmed positive spatial autocorrelation in perinatal mortality.
- Identified significant clustering in both high and low perinatal mortality regions.
- Established a direct link between perinatal mortality and healthcare resources/socioeconomic factors.
Conclusions:
- Positive spatial autocorrelation necessitates regional development and medical service upgrades.
- Improvements in one region affect perinatal mortality in adjacent areas.
- Spatial factors are critical in understanding and mitigating perinatal mortality.
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