PMC:7224658 / 6638-8078 JSONTXT

{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/7224658","sourcedb":"PMC","sourceid":"7224658","source_url":"https://www.ncbi.nlm.nih.gov/pmc/7224658","text":"Data source and collection\nThe following secondary data were used to analyze the nationwide traffic alongside the trends in COVID-19. First, a suitable data set was constructed using point data for traffic provided in the public data portal of the Korea Expressway Corporation (http://data.ex.co.kr/portal/fdwn/view?type=VDS\u0026num=37\u0026requestfrom=dataset#) and public data on confirmed COVID-19 patients released by the Korea Centers for Disease Control and Prevention (KCDC) (KCDC, 2020).\nTraffic data were based on vehicle detection systems (VDS), which measure the traffic passing over specific points. These systems use both in-ground and above-ground sensors (Figures 1 and 2) . The data set included information collected from 7488 VDS nationwide. Data from 1181 of these were excluded as they lacked GIS WGS84 coordinates, leaving a total of 6307 VDS. The map in Figure 3 displays the included VDS as round dots.\nFigure 1 In-ground VDS.\nFigure 2 Above-ground VDS.\nFigure 3 VDS installation spots.\nCOVID-19 patient trends in South Korea were analyzed using the statistics from the KCDC on ‘daily new confirmed patient count’ and ‘cumulative number of individuals released from isolation’. The regional statistics for daily new confirmed patients and cumulative number of individuals released from isolation were obtained by visiting the individual city/province/county’s homepage. A suitable data set was then constructed for this 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