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LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T1 71-79 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T2 546-554 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T3 693-701 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T4 884-892 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T5 1103-1111 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T6 1209-1217 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T7 1244-1252 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T8 1457-1465 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T9 2416-2424 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T10 2852-2860 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T11 2964-2972 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T1 237-244 http://purl.obolibrary.org/obo/UBERON_0000473 denotes testing
T2 462-471 http://purl.obolibrary.org/obo/BFO_0000030 denotes OBJECTIVE
T3 806-812 http://purl.obolibrary.org/obo/OBI_0000968 denotes device
T4 903-908 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tests
T5 1183-1184 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T6 1260-1265 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tests
T7 1289-1292 http://purl.obolibrary.org/obo/CLO_0050236 denotes lag
T8 1396-1397 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T9 1581-1585 http://purl.obolibrary.org/obo/UBERON_0000473 denotes test
T10 1636-1641 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tests
T11 1643-1644 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T12 1668-1669 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T13 1779-1780 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T14 1850-1862 http://purl.obolibrary.org/obo/OBI_0000245 denotes Organization
T15 2488-2489 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T16 2503-2504 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T17 2532-2537 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tests
T18 2588-2592 http://purl.obolibrary.org/obo/UBERON_0000473 denotes test

LitCovid-PD-CHEBI

Id Subject Object Predicate Lexical cue chebi_id
T1 622-624 Chemical denotes GT http://purl.obolibrary.org/obo/CHEBI_73920
T2 1267-1269 Chemical denotes GT http://purl.obolibrary.org/obo/CHEBI_73920
T3 2083-2085 Chemical denotes GT http://purl.obolibrary.org/obo/CHEBI_73920
T4 3071-3073 Chemical denotes GT http://purl.obolibrary.org/obo/CHEBI_73920

LitCovid-PD-GO-BP

Id Subject Object Predicate Lexical cue
T1 2300-2309 http://purl.obolibrary.org/obo/GO_0007610 denotes behaviors

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T1 0-104 Sentence denotes Infodemiological study to understand the community risk perceptions of COVID-19 outbreak in South Korea.
T2 105-116 Sentence denotes BACKGROUND:
T3 117-293 Sentence denotes South Korea is among the best-performing countries in tackling the coronavirus pandemic by utilizing mass drive-through testing, facemasks use, and extensive social distancing.
T4 294-461 Sentence denotes However, understanding the patterns of risk perception could also facilitate effective risk communication to minimize the impacts of disease spread during this crisis.
T5 462-472 Sentence denotes OBJECTIVE:
T6 473-597 Sentence denotes We attempted to explore patterns of community health risk perceptions of COVID-19 in South Korea using Internet search data.
T7 598-606 Sentence denotes METHODS:
T8 607-827 Sentence denotes Google Trends (GT) and NAVER relative search volumes (RSVs) data were collected using COVID-19-related terms in the Korean language and were retrieved according to time, gender, age groups, types of device, and location.
T9 828-1004 Sentence denotes Online queries were compared to the number of daily new COVID-19 cases and tests reported in the Kaggle open-access dataset for time period of December 5, 2019 to May 31, 2020.
T10 1005-1162 Sentence denotes Spearman's rank correlation coefficients were employed to assess whether correlations between new COVID-19 cases and Internet searches were affected by time.
T11 1163-1318 Sentence denotes We also constructed a prediction model of new COVID-19 cases using the number of COVID-19 cases, tests, GT, and NAVER RSVs in lag periods (of 3 to 1 days).
T12 1319-1436 Sentence denotes Single and multiple regressions were employed using backward elimination and a variance inflation factor (VIF) of <5.
T13 1437-1445 Sentence denotes RESULTS:
T14 1446-1863 Sentence denotes Numbers of COVID-19-related queries in South Korea increased during local events including local transmission, approval of coronavirus test kits, implementation of coronavirus drive-through tests, a facemask shortage, and a widespread campaign for social distancing as well as during international events such as the announcement of a Public Health Emergency of International Concern by the World Health Organization.
T15 1864-2048 Sentence denotes Online queries were also stronger in women (r=0.763~0.823; p<0.05), and age groups of ≤29 (r=0.726~0.821; p<0.05), 30~44 (r=0.701~0.826; p<0.05), and ≥50 years (r=0.706~0.725; p<0.05).
T16 2049-2131 Sentence denotes In terms of spatial distribution, GT and NAVER RSVs were higher in affected areas.
T17 2132-2373 Sentence denotes Moreover, greater correlations were found in mobile searches (r=0.704~0.804; p<0.05) compared to those of desktop searches (r=0.705~0.717; p<0.05), indicating changing behaviors in searching for online health information during the outbreak.
T18 2374-2471 Sentence denotes Those varied Internet searches related to COVID-19 represented community health risk perceptions.
T19 2472-2668 Sentence denotes In addition, as a country with a high number of coronavirus tests, results showed that adults perceived coronavirus test-related information as being more important than disease-related knowledge.
T20 2669-2735 Sentence denotes Meanwhile, younger and older age groups had different perceptions.
T21 2736-2844 Sentence denotes Moreover, NAVER RSVs can potentially be used for health risk perception assessments and disease predictions.
T22 2845-3041 Sentence denotes Adding COVID-19-related searches provided by NAVER could increase the performance of the model compared to that of the COVID-19 case-based model and potentially be used to predict epidemic curves.
T23 3042-3054 Sentence denotes CONCLUSIONS:
T24 3055-3283 Sentence denotes The use of both GT and NAVER RSVs to explore patterns of community health risk perceptions could be beneficial for targeting risk communication from several perspectives, including time, population characteristics, and location.
T25 3284-3298 Sentence denotes CLINICALTRIAL: