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PMC:7797241 / 147-2149 JSONTXT

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LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
5 42-50 Disease denotes COVID-19 MESH:C000657245
6 96-106 Disease denotes infections MESH:D007239
7 108-114 Disease denotes deaths MESH:D003643
9 457-463 Disease denotes deaths MESH:D003643
12 679-687 Species denotes patients Tax:9606
13 693-701 Disease denotes COVID-19 MESH:C000657245
19 817-824 Species denotes patient Tax:9606
20 767-775 Disease denotes infected MESH:D007239
21 783-789 Disease denotes deaths MESH:D003643
22 797-805 Disease denotes COVID-19 MESH:C000657245
23 806-815 Disease denotes infection MESH:D007239
29 1312-1317 Gene denotes CrI 2 Gene:163126
30 1655-1660 Gene denotes CrI 1 Gene:23741
31 1562-1567 Gene denotes CrI 2 Gene:163126
32 1372-1380 Species denotes patients Tax:9606
33 1208-1216 Disease denotes infected MESH:D007239

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T3 0-10 Sentence denotes Objectives
T4 11-216 Sentence denotes To develop a regional model of COVID-19 dynamics for use in estimating the number of infections, deaths and required acute and intensive care (IC) beds using the South West England (SW) as an example case.
T5 218-224 Sentence denotes Design
T6 225-339 Sentence denotes Open-source age-structured variant of a susceptible-exposed-infectious-recovered compartmental mathematical model.
T7 340-464 Sentence denotes Latin hypercube sampling and maximum likelihood estimation were used to calibrate to cumulative cases and cumulative deaths.
T8 466-473 Sentence denotes Setting
T9 474-637 Sentence denotes SW at a time considered early in the pandemic, where National Health Service authorities required evidence to guide localised planning and support decision-making.
T10 639-651 Sentence denotes Participants
T11 652-702 Sentence denotes Publicly available data on patients with COVID-19.
T12 704-742 Sentence denotes Primary and secondary outcome measures
T13 743-900 Sentence denotes The expected numbers of infected cases, deaths due to COVID-19 infection, patient occupancy of acute and IC beds and the reproduction (‘R’) number over time.
T14 902-909 Sentence denotes Results
T15 910-1351 Sentence denotes SW model projections indicate that, as of 11 May 2020 (when ‘lockdown’ measures were eased), 5793 (95% credible interval (CrI) 2003 to 12 051) individuals were still infectious (0.10% of the total SW population, 95% CrI 0.04% to 0.22%), and a total of 189 048 (95% CrI 141 580 to 277 955) had been infected with the virus (either asymptomatically or symptomatically), but recovered, which is 3.4% (95% CrI 2.5% to 5.0%) of the SW population.
T16 1352-1514 Sentence denotes The total number of patients in acute and IC beds in the SW on 11 May 2020 was predicted to be 701 (95% CrI 169 to 1543) and 110 (95% CrI 8 to 464), respectively.
T17 1515-1757 Sentence denotes The R value in SW was predicted to be 2.6 (95% CrI 2.0 to 3.2) prior to any interventions, with social distancing reducing this to 2.3 (95% CrI 1.8 to 2.9) and lockdown/school closures further reducing the R value to 0.6 (95% CrI 0.5 to 0.7).
T18 1759-1770 Sentence denotes Conclusions
T19 1771-1852 Sentence denotes The developed model has proved a valuable asset for regional healthcare services.
T20 1853-2002 Sentence denotes The model will be used further in the SW as the pandemic evolves, and—as open-source software—is portable to healthcare systems in other geographies.