The Right to Accessible COVID-19 Testing in the Post-Epidemic Period under the Urban-Rural Integration: Haishu District, Ningbo City, China
文献类型:期刊论文
作者 | Liang, Xianjun3,4; Ma, Renfeng1,3; Cheng, Yuxian1,3; Gong, Qianqian1,3; Li, Jiaming2; Zhu, Baoyu1,3 |
刊名 | SUSTAINABILITY
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出版日期 | 2022-02-01 |
卷号 | 14期号:3页码:17 |
关键词 | improved potential model accessibility equity COVID-19 testing facilities Haishu District |
DOI | 10.3390/su14031636 |
通讯作者 | Ma, Renfeng(marenfeng@nbu.edu.cn) ; Li, Jiaming(lijm@igsnrr.ac.cn) |
英文摘要 | The reasonable distribution of COVID-19 testing facilities is a crucial public necessity to protect the civil right of health and the proper functioning of society in the post-epidemic period. However, most of the current COVID-19 testing facilities are in large hospitals in China, partially overlooking the COVID-19 testing needs of rural dwellers. This paper used shortest-path analysis and the improved potential model to measure the accessibility of current and potential COVID-19 testing facilities, superimposing this with the testing demands of residents, as calculated by the population demand index, so as to comprehensively evaluate the equity of the spatial allocation of the current and potential testing facilities, with a particular focus on Haishu District, Ningbo City, China. The results revealed that the overall accessibility of the current testing facilities in Haishu District was high, while the internal spatial differentiation was considerable. The comprehensive accessibility of testing facilities gradually declined from the downtown areas towards the rural areas. Moreover, roughly half of the rural population needing COVID-19 tests encountered hindrances due to poor access to testing agencies. However, after fully exploiting the potential testing facilities, the comprehensive accessibility of testing facilities was significantly improved, and the inequity in the accessibility to testing facilities was effectively alleviated, which significantly improved the equity of the allocation of testing facilities in Haishu District. The leveraging of current medical facilities to boost the number of testing facilities in rural areas could eliminate the disparity of resource distribution caused by urban and rural binary opposition, and could quickly identify external sources of COVID-19 in rural areas in the post-epidemic period. Moreover, efficient COVID-19 testing combined with the travel records of infection carriers can effectively identify unknown infection cases and obviate large-scale infection outbreaks. |
WOS关键词 | POLITICAL-ECONOMY ; SPATIAL EQUITY ; INEQUALITY ; SERVICES ; IMPACT ; PARKS ; MAPS |
资助项目 | National Natural Science Foundation of China[41771174] |
WOS研究方向 | Science & Technology - Other Topics ; Environmental Sciences & Ecology |
语种 | 英语 |
WOS记录号 | WOS:000756232800001 |
出版者 | MDPI |
资助机构 | National Natural Science Foundation of China |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/170690] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Ma, Renfeng; Li, Jiaming |
作者单位 | 1.Ningbo Univ, Dept Geog & Spatial Informat Tech, Ningbo 315211, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, 11A Datun Rd, Beijing 100101, Peoples R China 3.Ningbo Univ, Collaborat Innovat Ctr Land & Marine Spatial Util, Ningbo 315211, Peoples R China 4.Ningbo Junzhi Engn & Environm Consulting Co Ltd, Ningbo 315211, Peoples R China |
推荐引用方式 GB/T 7714 | Liang, Xianjun,Ma, Renfeng,Cheng, Yuxian,et al. The Right to Accessible COVID-19 Testing in the Post-Epidemic Period under the Urban-Rural Integration: Haishu District, Ningbo City, China[J]. SUSTAINABILITY,2022,14(3):17. |
APA | Liang, Xianjun,Ma, Renfeng,Cheng, Yuxian,Gong, Qianqian,Li, Jiaming,&Zhu, Baoyu.(2022).The Right to Accessible COVID-19 Testing in the Post-Epidemic Period under the Urban-Rural Integration: Haishu District, Ningbo City, China.SUSTAINABILITY,14(3),17. |
MLA | Liang, Xianjun,et al."The Right to Accessible COVID-19 Testing in the Post-Epidemic Period under the Urban-Rural Integration: Haishu District, Ningbo City, China".SUSTAINABILITY 14.3(2022):17. |
入库方式: OAI收割
来源:地理科学与资源研究所
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