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PMC:7210464 / 45955-46891 JSONTXT

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LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T104 192-200 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T196 11-23 http://purl.obolibrary.org/obo/OBI_0000968 denotes instrumental
T197 77-82 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T198 311-312 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T199 412-417 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T200 656-661 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T201 703-714 http://purl.obolibrary.org/obo/OBI_0000968 denotes instruments

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T405 0-936 Sentence denotes First, our instrumental variable approach helps isolate the causal effect of virus transmissions from other confounded factors; second, our estimate is based on an extended time period of the COVID-19 pandemic (until the end of February 2020) that may mitigate potential biases in the literature that relies on a shorter sampling period within 1–28 January 2020; third, our modeling makes minimum assumptions of virus transmissions, such as imposing fewer restrictions on the relationship between the unobserved determinants of new cases and the number of cases in the past; fourth, our model simultaneously considers comprehensive factors that may affect virus transmissions, including multiple policy instruments (such as closed management of communities and shelter-at-home order), population flow, within- and between-city transmissions, economic and demographic conditions, weather patterns, and preparedness of health care system.

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
253 192-200 Disease denotes COVID-19 MESH:C000657245