> top > docs > PMC:7797241 > spans > 14823-15728 > annotations

PMC:7797241 / 14823-15728 JSONTXT

Annnotations TAB JSON ListView MergeView

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
139 258-264 Disease denotes deaths MESH:D003643
140 322-330 Disease denotes COVID-19 MESH:C000657245
141 379-387 Disease denotes COVID-19 MESH:C000657245
142 396-402 Disease denotes deaths MESH:D003643
143 552-561 Disease denotes mortality MESH:D003643
144 614-622 Disease denotes COVID-19 MESH:C000657245
145 631-637 Disease denotes deaths MESH:D003643
146 712-720 Disease denotes COVID-19 MESH:C000657245
147 721-727 Disease denotes deaths MESH:D003643
148 833-842 Disease denotes mortality MESH:D003643
149 886-892 Disease denotes deaths MESH:D003643

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T93 0-41 Sentence denotes Model parameters are detailed in table 1.
T94 42-111 Sentence denotes We used available published literature to inform parameter estimates.
T95 112-547 Sentence denotes We used the following publicly available metrics for model fitting: regional cumulative cases in SW (tested and confirmed cases in hospital), and deaths (daily/cumulative counts) from the Public Health England COVID-19 dashboard,14 and ONS weekly provisional data on COVID-19-related deaths.25 The case data are finalised prior to the previous 5 days, so we include all data until 14 May 2020, based on data reported until 18 May 2020.
T96 548-762 Sentence denotes The mortality data from ONS do not explicitly state the number of COVID-19-related deaths occurring in hospital, but they do report this value nationally (83.9% of COVID-19 deaths in hospital, as of 17 April 2020).
T97 763-905 Sentence denotes We assume that this percentage applies to the SW data and rescale the mortality to 83.9% to represent an estimate of total deaths in hospital.