{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T11:08:19Z","timestamp":1785841699694,"version":"3.56.0"},"reference-count":31,"publisher":"MDPI AG","issue":"20","license":[{"start":{"date-parts":[[2020,10,13]],"date-time":"2020-10-13T00:00:00Z","timestamp":1602547200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41671536"],"award-info":[{"award-number":["41671536"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Scientific Research Projects of Universities in Henan province","award":["18A170002"],"award-info":[{"award-number":["18A170002"]}]},{"name":"Collaborative Projects of Henan Key Laboratory of Integrative Air Pollution Prevention and Ecological Security","award":["PAP201801"],"award-info":[{"award-number":["PAP201801"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJERPH"],"abstract":"<jats:p>The global pandemic of COVID-19 has made it the focus of current attention. At present, the law of COVID-19 spread in cities is not clear. Cities have long been difficult areas for epidemic prevention and control because of the high population density, high mobility of people, and high frequency of contacts. This paper analyzed case information for 417 patients with COVID-19 in Shenzhen, China. The nearest neighbor index method, kernel density method, and the standard deviation ellipse method were used to analyze the spatio-temporal characteristics of the COVID-19 spread in Shenzhen. The factors influencing that spread were then explored using the multiple linear regression method. The results show that: (1) The development of COVID-19 epidemic situation in Shenzhen occurred in three stages. The patients showed significant hysteresis from the onset of symptoms to hospitalization and then to diagnosis. Prior to 27 January, there was a relatively long time interval between the onset of symptoms and hospitalization for COVID-19; the interval decreased thereafter. (2) The epidemic site (the place where the patient stays during the onset of the disease) showed an agglomeration in space. The degree of agglomeration constantly increased across the three time nodes of 31 January, 14 February, and 22 February. The epidemic sites formed a \u201ccore area\u201d in terms of spatial distribution and spread along the \u201cnorthwest\u2013southeast\u201d direction of the city. (3) Economic and social factors significantly impacted the spread of COVID-19, while environmental factors have not played a significant role.<\/jats:p>","DOI":"10.3390\/ijerph17207450","type":"journal-article","created":{"date-parts":[[2020,10,13]],"date-time":"2020-10-13T22:02:02Z","timestamp":1602626522000},"page":"7450","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":24,"title":["The Spatio-Temporal Characteristics and Influencing Factors of Covid-19 Spread in Shenzhen, China\u2014An Analysis Based on 417 Cases"],"prefix":"10.3390","volume":"17","author":[{"given":"Shirui","family":"Liu","sequence":"first","affiliation":[{"name":"College of Environment and Planning, Henan University, Kaifeng 475004, China"},{"name":"Key Laboratory of Geospatial Technology for Middle and Low Yellow River Regions, Henan University, Kaifeng 475004, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6962-8838","authenticated-orcid":false,"given":"Yaochen","family":"Qin","sequence":"additional","affiliation":[{"name":"College of Environment and Planning, Henan University, Kaifeng 475004, China"},{"name":"Key Laboratory of Geospatial Technology for Middle and Low Yellow River Regions, Henan University, Kaifeng 475004, China"},{"name":"Key Research Institute of Yellow River Civilization and Sustainable Development, Henan University, Kaifeng 475001, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhixiang","family":"Xie","sequence":"additional","affiliation":[{"name":"College of Environment and Planning, Henan University, Kaifeng 475004, China"},{"name":"Key Laboratory of Geospatial Technology for Middle and Low Yellow River Regions, Henan University, Kaifeng 475004, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6799-8846","authenticated-orcid":false,"given":"Jingfei","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Environment and Planning, Henan University, Kaifeng 475004, China"},{"name":"Key Laboratory of Geospatial Technology for Middle and Low Yellow River Regions, Henan University, Kaifeng 475004, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2020,10,13]]},"reference":[{"key":"ref_1","unstructured":"(2020, August 12). 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