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Spatiotemporal Distribution of U5MR and Their Relationship with Geographic and Socioeconomic Factors in China
Epidemiological studies conducted around the world have reported that the under-five mortality rate (U5MR) is closely associated with income and educational attainment. However, geographic elements should also remain a major concern in further improving child health issues, since they often play an...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5708067/ https://www.ncbi.nlm.nih.gov/pubmed/29160829 http://dx.doi.org/10.3390/ijerph14111428 |
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author | Li, Zeng Fu, Jingying Jiang, Dong Lin, Gang Dong, Donglin Yan, Xiaoxi |
author_facet | Li, Zeng Fu, Jingying Jiang, Dong Lin, Gang Dong, Donglin Yan, Xiaoxi |
author_sort | Li, Zeng |
collection | PubMed |
description | Epidemiological studies conducted around the world have reported that the under-five mortality rate (U5MR) is closely associated with income and educational attainment. However, geographic elements should also remain a major concern in further improving child health issues, since they often play an important role in the survival environment. This study was undertaken to investigate the relationship between the U5MR, geographic, and socioeconomic factors, and to explore the associated spatial variance of the relationship in China using the geographically weighted regression (GWR) model. The results indicate that the space pattern of a high U5MR had been narrowed notably during the period from 2001 to 2010. Nighttime lights (NL) and the digital elevation model (DEM) both have obvious influences on the U5MR, with the NL having a negative impact and DEM having a positive impact. Additionally, the relationship between the NL and DEM varied over space in China. Moreover, the relevance between U5MR and DEM was narrowed in 2010 compared to 2001, which indicates that the development of economic and medical standards can overcome geographical limits. |
format | Online Article Text |
id | pubmed-5708067 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-57080672017-12-05 Spatiotemporal Distribution of U5MR and Their Relationship with Geographic and Socioeconomic Factors in China Li, Zeng Fu, Jingying Jiang, Dong Lin, Gang Dong, Donglin Yan, Xiaoxi Int J Environ Res Public Health Article Epidemiological studies conducted around the world have reported that the under-five mortality rate (U5MR) is closely associated with income and educational attainment. However, geographic elements should also remain a major concern in further improving child health issues, since they often play an important role in the survival environment. This study was undertaken to investigate the relationship between the U5MR, geographic, and socioeconomic factors, and to explore the associated spatial variance of the relationship in China using the geographically weighted regression (GWR) model. The results indicate that the space pattern of a high U5MR had been narrowed notably during the period from 2001 to 2010. Nighttime lights (NL) and the digital elevation model (DEM) both have obvious influences on the U5MR, with the NL having a negative impact and DEM having a positive impact. Additionally, the relationship between the NL and DEM varied over space in China. Moreover, the relevance between U5MR and DEM was narrowed in 2010 compared to 2001, which indicates that the development of economic and medical standards can overcome geographical limits. MDPI 2017-11-21 2017-11 /pmc/articles/PMC5708067/ /pubmed/29160829 http://dx.doi.org/10.3390/ijerph14111428 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Li, Zeng Fu, Jingying Jiang, Dong Lin, Gang Dong, Donglin Yan, Xiaoxi Spatiotemporal Distribution of U5MR and Their Relationship with Geographic and Socioeconomic Factors in China |
title | Spatiotemporal Distribution of U5MR and Their Relationship with Geographic and Socioeconomic Factors in China |
title_full | Spatiotemporal Distribution of U5MR and Their Relationship with Geographic and Socioeconomic Factors in China |
title_fullStr | Spatiotemporal Distribution of U5MR and Their Relationship with Geographic and Socioeconomic Factors in China |
title_full_unstemmed | Spatiotemporal Distribution of U5MR and Their Relationship with Geographic and Socioeconomic Factors in China |
title_short | Spatiotemporal Distribution of U5MR and Their Relationship with Geographic and Socioeconomic Factors in China |
title_sort | spatiotemporal distribution of u5mr and their relationship with geographic and socioeconomic factors in china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5708067/ https://www.ncbi.nlm.nih.gov/pubmed/29160829 http://dx.doi.org/10.3390/ijerph14111428 |
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