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PMC:7589389 / 43115-44000 JSONTXT

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LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T77 133-141 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T78 482-490 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T79 665-673 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T196 3-4 http://purl.obolibrary.org/obo/CLO_0001020 denotes a

LitCovid-PD-CHEBI

Id Subject Object Predicate Lexical cue chebi_id
T35 392-401 Chemical denotes indicator http://purl.obolibrary.org/obo/CHEBI_47867

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T306 0-274 Sentence denotes As a final robustness check, we examine whether our results are influenced by the volatility of provincial increase in new confirmed COVID-19 cases because high volatility of the number changing in the new confirmed cases may affect the extent of investors’ risk assessment.
T307 275-364 Sentence denotes To tackle this concern, we substitute Conditioning_VAR in Model (3) with High_Volatility.
T308 365-568 Sentence denotes Here High_Volatility is an indicator variable that equals one if the six-day standard deviation of the new confirmed COVID-19 cases is higher than or equal to the upper quartile value and zero otherwise.
T309 569-680 Sentence denotes Table 13 shows the regression results on the moderate effect of volatility of the new confirmed COVID-19 cases.
T310 681-885 Sentence denotes We find that the coefficients of CIPHT × High_Volatility are all statistically insignificant, suggesting that our results are not driven by the fluctuations in the number of new confirmed cases over time.

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
269 133-141 Disease denotes COVID-19 MESH:C000657245
270 482-490 Disease denotes COVID-19 MESH:C000657245
271 665-673 Disease denotes COVID-19 MESH:C000657245