PMC:7224658 / 16549-17707 JSONTXT

{"target":"http://pubannotation.org/docs/sourcedb/PMC/sourceid/7224658","sourcedb":"PMC","sourceid":"7224658","source_url":"https://www.ncbi.nlm.nih.gov/pmc/7224658","text":"Types of relationship between regional traffic and COVID-19\nIn Table 3 the analyses in Table 2, Figure 4, and Figure 5 have been classified into types for each region, based on whether the trends in traffic and COVID-19 were increasing or decreasing. Incheon was categorized as a region requiring strong control (Type 1), with increasing trends for both COVID-19 spread and traffic. Gyeonggi and Seoul were categorized as regions in the early stages of focused control or requiring control (Type 2), with increasing traffic but a relatively stable trend for new confirmed COVID-19 cases. The other regions were categorized as stable (Type 3), with increasing traffic but decreasing trends for COVID-19 spread.\nTable 3 The level of relationship between traffic and COVID-19 in cities, 2020.\nTrend in 2020 Specific City\nLevel Traffic COVID-19\n1 + + (Danger) Strong control required Incheon\n2 0 (Caution) Control required, or in the early stage of focused control Gyeonggi, Seoul\n3 − (Stable) Under stable control Daegu, Busan, Gwangju, Daejeon, Ulsan, Sejong, Chungbuk, Chungnam, Jeonbuk, Jeonnam, Gyeongbuk, Gyeongnam\n+ = increasing; 0 = same; − = 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