Spatial co-location patterns between early COVID-19 risk and urban facilities: a case study of Wuhan, China.

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Bibliographic Details
Title: Spatial co-location patterns between early COVID-19 risk and urban facilities: a case study of Wuhan, China.
Authors: Zhi G; Electronic Science Research Institute of China Electronics Technology Group Corporation, Beijing, China.; National Engineering Laboratory for Public Security Risk Perception and Control by Big Data, Beijing, China.; College of Applied Arts and Sciences, Beijing Union University, Beijing, China., Meng B; College of Applied Arts and Sciences, Beijing Union University, Beijing, China.; Laboratory of Urban Cultural Sensing & Computing, Beijing Union University, Beijing, China., Lin H; Electronic Science Research Institute of China Electronics Technology Group Corporation, Beijing, China.; National Engineering Laboratory for Public Security Risk Perception and Control by Big Data, Beijing, China., Zhang X; Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China., Xu M; Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China., Chen S; Laboratory of Urban Cultural Sensing & Computing, Beijing Union University, Beijing, China.; Southwest United University Campus, Yunnan Normal University, Kunming, China.; The Engineering Research Center of GIS Technology in Western China of Ministry of Education of China, Kunming, China., Wang J; College of Applied Arts and Sciences, Beijing Union University, Beijing, China.; Laboratory of Urban Cultural Sensing & Computing, Beijing Union University, Beijing, China.
Source: Frontiers in public health [Front Public Health] 2024 Jan 04; Vol. 11, pp. 1293888. Date of Electronic Publication: 2024 Jan 04 (Print Publication: 2023).
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Frontiers Editorial Office Country of Publication: Switzerland NLM ID: 101616579 Publication Model: eCollection Cited Medium: Internet ISSN: 2296-2565 (Electronic) Linking ISSN: 22962565 NLM ISO Abbreviation: Front Public Health Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2296-2565
DOI:10.3389/fpubh.2023.1293888