PMC:7224658 / 16549-17707 JSONTXT 4 Projects

Annnotations TAB TSV DIC JSON TextAE-old TextAE

Id Subject Object Predicate Lexical cue
T150 0-59 Sentence denotes Types of relationship between regional traffic and COVID-19
T151 60-250 Sentence denotes In 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.
T152 251-382 Sentence denotes Incheon was categorized as a region requiring strong control (Type 1), with increasing trends for both COVID-19 spread and traffic.
T153 383-587 Sentence denotes 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.
T154 588-709 Sentence denotes The other regions were categorized as stable (Type 3), with increasing traffic but decreasing trends for COVID-19 spread.
T155 710-789 Sentence denotes Table 3 The level of relationship between traffic and COVID-19 in cities, 2020.
T156 790-817 Sentence denotes Trend in 2020 Specific City
T157 818-840 Sentence denotes Level Traffic COVID-19
T158 841-887 Sentence denotes 1 + + (Danger) Strong control required Incheon
T159 888-976 Sentence denotes 2 0 (Caution) Control required, or in the early stage of focused control Gyeonggi, Seoul
T160 977-1116 Sentence denotes 3 − (Stable) Under stable control Daegu, Busan, Gwangju, Daejeon, Ulsan, Sejong, Chungbuk, Chungnam, Jeonbuk, Jeonnam, Gyeongbuk, Gyeongnam
T161 1117-1158 Sentence denotes + = increasing; 0 = same; − = decreasing.