The Experts below are selected from a list of 315 Experts worldwide ranked by ideXlab platform
Yuan Gao - One of the best experts on this subject based on the ideXlab platform.
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Inequality of public health and its role in spatial accessibility to Medical Facilities in China
Applied Geography, 2018Co-Authors: Chaohui Yin, Yanfang Liu, Weiqiang Chen, Yuan GaoAbstract:Abstract Due to the close links between quality of life standards and level of regional development, it is important to gain an improved understanding of the factors that contribute to unequal spatial accessibility of Medical and health services in China. This study analyzed 2859 counties using the average shortest distance traveled from settlements to Medical Facilities to calculate spatial accessibility. The Theil index at three levels (three partitions, eight economic zones and provinces) was used to assess the inequality between regions. Then, a method of spatial autocorrelation was used to assess the spatial agglomeration characteristics of spatial accessibility. To explore the underlying reasons for the imbalance in spatial accessibility, a total of eight indicators in three aspects (nature, society, and economy) were collected and geographically weighted regression (GWR) was employed to investigate spatial heterogeneity. We observed marked disparities in spatial accessibility to Medical Facilities at the national level. In particular, there appears to be improved spatial accessibility and lesser regional inequality in eastern and central regions as opposed to western Chinese regions; in coastal regions instead of inland regions; and in municipalities such as Beijing, Tianjin, and Shanghai, but not in other provinces and autonomous regions. Besides, significant global autocorrelation and obvious clusters were revealed in a spatial pattern analysis. A wide range of hot-spot areas (clusters of poor spatial accessibility) mainly concentrated in Tibet and other areas with complex terrain and lagging social and economic development. A number of cold-spot areas (clusters of good spatial accessibility) mostly scattered in built-up areas especially municipalities and well-developed urban agglomeration such as the Yangtze River Delta, the Pearl River Delta, and the Wuhan 1 + 8 city circle. Furthermore, the relationships between influencing factors and spatial accessibility were also investigated. The influence of altitude on spatial accessibility gradually decreased from the West to the East, while the influence of slope decreased from the South to the North with prominent provinces of Qinghai and Gansu. Population density exerted a higher impact on the distance in the southwest region whereas the urbanization rate influenced the northeast and southeast coastal region more intensively. In contrast, the pattern of educational level was relatively discrete. The influencing pattern of economic factors in both per area GDP and tertiary industry output share of accessibility showed apparent regional characteristics in the southeast coastal areas, as well as in the northwestern and northeastern parts. Outcomes from this study can be used to provide important information to aid policy making, while also facilitating future research aimed at improving the understanding of equality and sustainable development of Medical Facilities.
Chaohui Yin - One of the best experts on this subject based on the ideXlab platform.
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Inequality of public health and its role in spatial accessibility to Medical Facilities in China
Applied Geography, 2018Co-Authors: Chaohui Yin, Yanfang Liu, Weiqiang Chen, Yuan GaoAbstract:Abstract Due to the close links between quality of life standards and level of regional development, it is important to gain an improved understanding of the factors that contribute to unequal spatial accessibility of Medical and health services in China. This study analyzed 2859 counties using the average shortest distance traveled from settlements to Medical Facilities to calculate spatial accessibility. The Theil index at three levels (three partitions, eight economic zones and provinces) was used to assess the inequality between regions. Then, a method of spatial autocorrelation was used to assess the spatial agglomeration characteristics of spatial accessibility. To explore the underlying reasons for the imbalance in spatial accessibility, a total of eight indicators in three aspects (nature, society, and economy) were collected and geographically weighted regression (GWR) was employed to investigate spatial heterogeneity. We observed marked disparities in spatial accessibility to Medical Facilities at the national level. In particular, there appears to be improved spatial accessibility and lesser regional inequality in eastern and central regions as opposed to western Chinese regions; in coastal regions instead of inland regions; and in municipalities such as Beijing, Tianjin, and Shanghai, but not in other provinces and autonomous regions. Besides, significant global autocorrelation and obvious clusters were revealed in a spatial pattern analysis. A wide range of hot-spot areas (clusters of poor spatial accessibility) mainly concentrated in Tibet and other areas with complex terrain and lagging social and economic development. A number of cold-spot areas (clusters of good spatial accessibility) mostly scattered in built-up areas especially municipalities and well-developed urban agglomeration such as the Yangtze River Delta, the Pearl River Delta, and the Wuhan 1 + 8 city circle. Furthermore, the relationships between influencing factors and spatial accessibility were also investigated. The influence of altitude on spatial accessibility gradually decreased from the West to the East, while the influence of slope decreased from the South to the North with prominent provinces of Qinghai and Gansu. Population density exerted a higher impact on the distance in the southwest region whereas the urbanization rate influenced the northeast and southeast coastal region more intensively. In contrast, the pattern of educational level was relatively discrete. The influencing pattern of economic factors in both per area GDP and tertiary industry output share of accessibility showed apparent regional characteristics in the southeast coastal areas, as well as in the northwestern and northeastern parts. Outcomes from this study can be used to provide important information to aid policy making, while also facilitating future research aimed at improving the understanding of equality and sustainable development of Medical Facilities.
Steven J. Yevich - One of the best experts on this subject based on the ideXlab platform.
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Obesity prevalence among veterans at Veterans Affairs Medical Facilities.
American journal of preventive medicine, 2005Co-Authors: Sandeep R. Das, Linda S. Kinsinger, William S. Yancy, Anthea Wang, Eileen Ciesco, Mary Burdick, Steven J. YevichAbstract:Background Obesity is a significant public health problem in the United States. Comprehensive obesity prevalence data among veterans have not been previously reported. Methods This is a cross-sectional analysis of 1,803,323 veterans receiving outpatient care at 136 Veterans Affairs (VA) Medical Facilities in 2000. Measured weight, height, and demographic data were used to obtain age-adjusted prevalences of body mass index (BMI) categories, which were stratified by gender and examined by age and race/ethnicity. Results Of 93,290 women American veterans receiving care at VA Medical Facilities during 2000, 68.4% were at least overweight (body mass index [BMI]≥25 kg/m2), with 37.4% classified as obese (BMI≥30 kg/m2), and 6.0% as class-III obese (BMI≥40 kg/m2). Of 1,710,032 men, 73.0% were at least overweight, 32.9% were obese, and 3.3% were class-III obese. Among women, obesity prevalence increased into the sixth and seventh decade of life before prevalence began to decline. Among men, prevalence was lowest for those aged 70. By race/ethnicity, Native American women (40.7%) and men (35.1%) had the highest prevalence of obesity, while Asian-American women (12.8%) and men (20.6%) had the lowest. Conclusions There is a substantial burden of obesity among veterans using VA Medical Facilities. A comprehensive approach for weight management by the Veterans Health Administration is needed.
Yaochen Qin - One of the best experts on this subject based on the ideXlab platform.
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evaluation of the spatial equity of Medical Facilities based on improved potential model and map service api a case study in zhengzhou china
Applied Geography, 2020Co-Authors: Peijun Rong, Zhicheng Zheng, Mei Po Kwan, Yaochen QinAbstract:Abstract By introducing an improved potential model and using the Internet map navigation service and GIS spatial analysis technology platform, this paper studies the spatial accessibility and equity of the Medical treatment of residential buildings in the main urban area of Zhengzhou. The findings show that, overall, the spatial accessibility of Medical treatment in the study area extends in the northeast and southwest directions, and presents a zonal spreading trend. There exist certain differences and imbalances in the Medical Facilities and services in each ring, reflect in a gradual deterioration from the first ring to the third ring. According to residents' demand for Medical treatment and the distribution of Medical resources, the Medical spaces themselves can be roughly divided into three regions: “high enjoyment type” (ample resources and sparse population), “general type” (average amount of resources and concentrated population), and “lagging type” (few resources and sparse population). With regard to equity, and based on the Gini coefficient and Lorenz curve, the number of beds in Medical Facilities was found to be positively correlated with the population, and the total supply of resources to be balanced with population demand, whereas Medical resources were seen to be scarce in the outskirts of Zhengzhou and far from the central area. The location entropy index suggests that accessibility to Medical Facilities in most residential areas is below the average level. While the total amount of hospital resources across the population was found to be relatively equitable, much room for improvement can be said to remain in terms of residents' accessibility when they arrive at hospitals for Medical treatment. These research results provide new insights into equity evaluations of urban resource accessibility, as well as a scientific basis for the Chinese government to plan the distribution of Medical resources.
Mei Po Kwan - One of the best experts on this subject based on the ideXlab platform.
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evaluation of the spatial equity of Medical Facilities based on improved potential model and map service api a case study in zhengzhou china
Applied Geography, 2020Co-Authors: Peijun Rong, Zhicheng Zheng, Mei Po Kwan, Yaochen QinAbstract:Abstract By introducing an improved potential model and using the Internet map navigation service and GIS spatial analysis technology platform, this paper studies the spatial accessibility and equity of the Medical treatment of residential buildings in the main urban area of Zhengzhou. The findings show that, overall, the spatial accessibility of Medical treatment in the study area extends in the northeast and southwest directions, and presents a zonal spreading trend. There exist certain differences and imbalances in the Medical Facilities and services in each ring, reflect in a gradual deterioration from the first ring to the third ring. According to residents' demand for Medical treatment and the distribution of Medical resources, the Medical spaces themselves can be roughly divided into three regions: “high enjoyment type” (ample resources and sparse population), “general type” (average amount of resources and concentrated population), and “lagging type” (few resources and sparse population). With regard to equity, and based on the Gini coefficient and Lorenz curve, the number of beds in Medical Facilities was found to be positively correlated with the population, and the total supply of resources to be balanced with population demand, whereas Medical resources were seen to be scarce in the outskirts of Zhengzhou and far from the central area. The location entropy index suggests that accessibility to Medical Facilities in most residential areas is below the average level. While the total amount of hospital resources across the population was found to be relatively equitable, much room for improvement can be said to remain in terms of residents' accessibility when they arrive at hospitals for Medical treatment. These research results provide new insights into equity evaluations of urban resource accessibility, as well as a scientific basis for the Chinese government to plan the distribution of Medical resources.
