Spatial and Temporal Impacts of Socioeconomic and Environmental Factors on Healthcare Resources: A County-Level Bayesian Local Spatiotemporal Regression Modeling Study of Hospital Beds in Southwest China
文献类型：期刊论文
| 作者 | Song, Chao2,3,4; Wang, Yaode2; Yang, Xiu1; Yang, Yili5; Tang, Zhangying2; Wang, Xiuli3,5; Pan, Jay3,5 |
| 刊名 | INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
 |
| 出版日期 | 2020-08-01 |
| 卷号 | 17期号:16页码:23 |
| 关键词 | Bayesian STVC model healthcare resources geographical inequality hospital beds socioeconomic and environmental factors spatiotemporal nonstationarity health planning China |
| DOI | 10.3390/ijerph17165890 |
| 通讯作者 | Song, Chao(chaosong.gis@gmail.com) ; Pan, Jay(panjie.jay@scu.edu.cn) |
| 英文摘要 | Comprehensive investigation on understanding geographical inequalities of healthcare resources and their influencing factors in China remains scarce. This study aimed to explore both spatial and temporal heterogeneous impacts of various socioeconomic and environmental factors on healthcare resource inequalities at a fine-scale administrative county level. We collected data on county-level hospital beds per ten thousand people to represent healthcare resources, as well as data on 32 candidate socioeconomic and environmental covariates in southwest China from 2002 to 2011. We innovatively employed a cutting-edge local spatiotemporal regression, namely, a Bayesian spatiotemporally varying coefficients (STVC) model, to simultaneously detect spatial and temporal autocorrelated nonstationarity in healthcare-covariate relationships via estimating posterior space-coefficients (SC) within each county, as well as time-coefficients (TC) over ten years. Our findings reported that in addition to socioeconomic factors, environmental factors also had significant impacts on healthcare resources inequalities at both global and local space-time scales. Globally, the personal economy was identified as the most significant explanatory factor. However, the temporal impacts of personal economy demonstrated a gradual decline, while the impacts of the regional economy and government investment showed a constant growth from 2002 to 2011. Spatially, geographical clustered regions for both hospital bed distributions and various hospital bed-covariates relationships were detected. Finally, the first spatiotemporal series of complete county-level hospital bed inequality maps in southwest China was produced. This work is expected to provide evidence-based implications for future policy making procedures to improve healthcare equalities from a spatiotemporal perspective. The employed Bayesian STVC model provides frontier insights into investigating spatiotemporal heterogeneous variables relationships embedded in broader areas such as public health, environment, and earth sciences. |
| WOS关键词 | WEIGHTED REGRESSION ; PRIVATE-SECTOR ; INEQUALITIES ; DISEASE ; SICHUAN ; ACCESS ; NEPAL |
| 资助项目 | National Natural Science Foundation of China[41701448] ; National Natural Science Foundation of China[71874116] ; Applied Basic Research Funded Project of Sichuan Science and Technology Department[2020YJ0117] ; Chengdu Federation of Social Science Association[ZZ05] ; State Key Laboratory of Resources and Environmental Information System[201811] ; Humanities and Social Sciences Research Fund Project of Southwest Petroleum University[2019RW021] ; Sichuan University[2018hhf-27] ; Sichuan University[SKSYL201811] |
| WOS研究方向 | Environmental Sciences & Ecology ; Public, Environmental & Occupational Health |
| 语种 | 英语 |
| WOS记录号 | WOS:000565095300001 |
| 出版者 | MDPI |
| 资助机构 | National Natural Science Foundation of China ; Applied Basic Research Funded Project of Sichuan Science and Technology Department ; Chengdu Federation of Social Science Association ; State Key Laboratory of Resources and Environmental Information System ; Humanities and Social Sciences Research Fund Project of Southwest Petroleum University ; Sichuan University |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/158052]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Song, Chao; Pan, Jay |
| 作者单位 | 1.China Sci & Technol Exchange Ctr, Div Policy Study, Beijing 100045, Peoples R China 2.Southwest Petr Univ, Sch Geosci & Technol, State Key Lab Oil & Gas Reservoir Geol & Exploita, Chengdu 610500, Peoples R China 3.Sichuan Univ, West China Sch Publ Hlth, West China Hosp 4, Chengdu 610041, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 5.Sichuan Univ, West China Res Ctr Rural Hlth Dev, Chengdu 610041, Peoples R China |
| 推荐引用方式 GB/T 7714 | Song, Chao,Wang, Yaode,Yang, Xiu,et al. Spatial and Temporal Impacts of Socioeconomic and Environmental Factors on Healthcare Resources: A County-Level Bayesian Local Spatiotemporal Regression Modeling Study of Hospital Beds in Southwest China[J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH,2020,17(16):23. |
| APA | Song, Chao.,Wang, Yaode.,Yang, Xiu.,Yang, Yili.,Tang, Zhangying.,...&Pan, Jay.(2020).Spatial and Temporal Impacts of Socioeconomic and Environmental Factors on Healthcare Resources: A County-Level Bayesian Local Spatiotemporal Regression Modeling Study of Hospital Beds in Southwest China.INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH,17(16),23. |
| MLA | Song, Chao,et al."Spatial and Temporal Impacts of Socioeconomic and Environmental Factors on Healthcare Resources: A County-Level Bayesian Local Spatiotemporal Regression Modeling Study of Hospital Beds in Southwest China".INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 17.16(2020):23. |
入库方式： OAI收割
来源：地理科学与资源研究所
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