PMC:7224658 / 17929-18934
Annnotations
LitCovid-PubTator
| Id | Subject | Object | Predicate | Lexical cue | tao:has_database_id |
|---|---|---|---|---|---|
| 163 | 26-33 | Species | denotes | patient | Tax:9606 |
| 164 | 163-170 | Species | denotes | peoples | Tax:9606 |
| 165 | 384-392 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 166 | 562-570 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 167 | 749-767 | Disease | denotes | infectious disease | MESH:D003141 |
LitCovid-PD-MONDO
| Id | Subject | Object | Predicate | Lexical cue | mondo_id |
|---|---|---|---|---|---|
| T60 | 384-392 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T61 | 562-570 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T62 | 749-767 | Disease | denotes | infectious disease | http://purl.obolibrary.org/obo/MONDO_0005550 |
LitCovid-PD-CLO
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T70 | 149-150 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
| T71 | 194-204 | http://purl.obolibrary.org/obo/CLO_0001658 | denotes | activities |
| T72 | 208-209 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
| T73 | 664-665 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
| T74 | 696-706 | http://purl.obolibrary.org/obo/CLO_0001658 | denotes | activities |
| T75 | 803-805 | http://purl.obolibrary.org/obo/CLO_0050509 | denotes | 27 |
| T76 | 807-808 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
| T77 | 914-916 | http://purl.obolibrary.org/obo/CLO_0050507 | denotes | 22 |
LitCovid-PD-CHEBI
| Id | Subject | Object | Predicate | Lexical cue | chebi_id |
|---|---|---|---|---|---|
| T3 | 85-87 | Chemical | denotes | TV | http://purl.obolibrary.org/obo/CHEBI_75193 |
LitCovid-sentences
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T165 | 0-513 | Sentence | denotes | Since the first confirmed patient in South Korea on January 19, the mass media (e.g. TV news, newspapers, the Internet) and other studies have shown a decrease in peoples’ engagement in outdoor activities as a result of self-isolation, working from home, voluntarily staying indoors, delaying the commencement of schools and universities, and the delivery of educational messages for COVID-19 prevention (e.g. via the Internet, broadcast media, and written articles) (Chinazzi et al., 2020, Magal and Webb, 2020). |
| T166 | 514-707 | Sentence | denotes | Similarly, our study showed that, following the COVID-19 outbreak in South Korea, nationwide traffic decreased by 9.7% compared with 2019, indicating a decrease in citizens’ outdoor activities. |
| T167 | 708-859 | Sentence | denotes | In particular, after the KCDC raised the infectious disease alert level to ‘orange’ on January 27, a large decrease was observed in nationwide traffic. |
| T168 | 860-1005 | Sentence | denotes | After the alert level was raised to ‘red’ on February 22, traffic in the fourth week of February was down by 26.1% compared with 2019 (Figure 4). |