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Information Journal Paper

Title

SPATIAL ANALYSIS OF CHINA PROVINCE-LEVEL PERINATAL MORTALITY

Pages

  614-622

Abstract

 Background: Using spatial analysis tools to determine the spatial patterns of China province-level PERINATAL MORTALITY and using spatial econometric model to examine the impacts of health care resources and different socio-economic factors on PERINATAL MORTALITY.Methods: The Global Moran’s I index is used to examine whether the SPATIAL AUTOCORRELATION exists in selected regions and Moran’s I scatter plot to examine the spatial clustering among regions. Spatial econometric models are used to investigate the spatial relationships between PERINATAL MORTALITY and contributing factors.Results: The overall Moran’s I index indicates that PERINATAL MORTALITY displays positive SPATIAL AUTOCORRELATION. Mo-ran’s I scatter plot analysis implies that there is a significant clustering of mortality in both high-rate regions and low-rate regions. The spatial econometric models analyses confirm the existence of a direct link between PERINATAL MORTALITY and health care resources, socio-economic factors.Conclusions: Since a positive SPATIAL AUTOCORRELATION has been detected in China province-level PERINATAL MORTALITY, the upgrading of regional economic development and medical service level will affect the mortality not only in region itself but also its adjacent regions.

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    APA: Copy

    XIANG, KUN, & SONG, Deyong. (2016). SPATIAL ANALYSIS OF CHINA PROVINCE-LEVEL PERINATAL MORTALITY. IRANIAN JOURNAL OF PUBLIC HEALTH, 45(5), 614-622. SID. https://sid.ir/paper/274269/en

    Vancouver: Copy

    XIANG KUN, SONG Deyong. SPATIAL ANALYSIS OF CHINA PROVINCE-LEVEL PERINATAL MORTALITY. IRANIAN JOURNAL OF PUBLIC HEALTH[Internet]. 2016;45(5):614-622. Available from: https://sid.ir/paper/274269/en

    IEEE: Copy

    KUN XIANG, and Deyong SONG, “SPATIAL ANALYSIS OF CHINA PROVINCE-LEVEL PERINATAL MORTALITY,” IRANIAN JOURNAL OF PUBLIC HEALTH, vol. 45, no. 5, pp. 614–622, 2016, [Online]. Available: https://sid.ir/paper/274269/en

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