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LitCovid-PD-FMA-UBERON

Id Subject Object Predicate Lexical cue fma_id
T20 1652-1660 Body_part denotes Appendix http://purl.org/sig/ont/fma/fma14542

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T153 1376-1384 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T275 501-502 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T276 650-651 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T277 1539-1540 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T278 1661-1662 http://purl.obolibrary.org/obo/CLO_0001021 denotes B

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T653 0-172 Sentence denotes In Fig. 7, we report the differences between the predicted number of daily new cases in the counterfactual scenarios and the actual data, for cities outside Hubei province.
T654 173-288 Sentence denotes We also report the predicted cumulative effect in each scenario at the bottom of the corresponding panel in Fig. 7.
T655 289-491 Sentence denotes Had the transmission rates in cities outside Hubei province increased to the level observed in late January, by February 29, there would be 1,408,479 (95% CI, 815,585∼2,001,373) more cases (scenario D).
T656 492-558 Sentence denotes Assuming a fatality rate of 4%, there would be 56,339 more deaths.
T657 559-646 Sentence denotes The magnitude of the effect from Wuhan lockdown and local NPIs is considerably smaller.
T658 647-790 Sentence denotes As a result of Wuhan lockdown, 31,071 (95% CI, 8296∼53,845) fewer cases would be reported for cities outside Hubei by February 29 (scenario C).
T659 791-1029 Sentence denotes Closed management of communities and family outdoor restrictions would reduce the number of cases by 3803 (95% CI, 1142∼6465; or 15.78 per city with the policy) and 2703 (95% CI, 654∼4751; or 21.98 per city with the policy), respectively.
T660 1030-1220 Sentence denotes These estimates, combined with additional assumptions on the value of statistical life, lost time from work, etc., may contribute to cost-benefit analyses of relevant public health measures.
T661 1221-1262 Sentence denotes Fig. 7 Counterfactual policy simulations.
T662 1263-1489 Sentence denotes This figure displays the daily differences between the total predicted number and the actual number of daily new COVID-19 cases for each of the four counterfactual scenarios for cities outside Hubei province in mainland China.
T663 1490-1675 Sentence denotes The spike on February 12 in scenario C is due to a sharp increase in daily case counts in Wuhan resulting from changes in case definitions in Hubei province (see Appendix B for details)

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
381 1376-1384 Disease denotes COVID-19 MESH:C000657245
383 551-557 Disease denotes deaths MESH:D003643