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PMC:7104294 / 63-4754 JSONTXT

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LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
8 1484-1492 Species denotes patients Tax:9606
9 707-731 Disease denotes coronavirus disease 2019 MESH:C000657245
10 733-741 Disease denotes COVID-19 MESH:C000657245
11 788-794 Disease denotes deaths MESH:D003643
12 997-1005 Disease denotes COVID-19 MESH:C000657245
13 1324-1330 Disease denotes deaths MESH:D003643
15 1835-1841 Disease denotes deaths MESH:D003643
17 3575-3581 Disease denotes Deaths MESH:D003643
20 3520-3526 Disease denotes deaths MESH:D003643
21 3532-3540 Disease denotes COVID-19 MESH:C000657245
23 3954-3978 Disease denotes coronavirus disease 2019 MESH:C000657245
33 2294-2301 Species denotes patient Tax:9606
34 2343-2351 Species denotes patients Tax:9606
35 2779-2785 Species denotes people Tax:9606
36 2114-2120 Disease denotes deaths MESH:D003643
37 2257-2263 Disease denotes deaths MESH:D003643
38 2283-2288 Disease denotes death MESH:D003643
39 2797-2805 Disease denotes COVID-19 MESH:C000657245
40 3100-3108 Disease denotes COVID-19 MESH:C000657245
41 3153-3162 Disease denotes mortality MESH:D003643
47 4294-4302 Species denotes patients Tax:9606
48 4133-4139 Disease denotes deaths MESH:D003643
49 4479-4488 Disease denotes infection MESH:D007239
50 4538-4546 Disease denotes COVID-19 MESH:C000657245
51 4547-4552 Disease denotes death MESH:D003643

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T2 707-731 Disease denotes coronavirus disease 2019 http://purl.obolibrary.org/obo/MONDO_0100096
T3 733-741 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T4 997-1005 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T5 2797-2805 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T6 3100-3108 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T7 3532-3540 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T8 3945-3953 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T9 3954-3978 Disease denotes coronavirus disease 2019 http://purl.obolibrary.org/obo/MONDO_0100096
T10 4479-4488 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T11 4538-4546 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T1 104-105 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T2 529-536 http://purl.obolibrary.org/obo/PR_000001318 denotes selling
T3 600-601 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T4 688-691 http://purl.obolibrary.org/obo/PR_000001343 denotes aim
T5 817-819 http://purl.obolibrary.org/obo/CLO_0001382 denotes 48
T6 853-854 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T7 1107-1109 http://purl.obolibrary.org/obo/CLO_0050510 denotes 18
T8 1119-1121 http://purl.obolibrary.org/obo/CLO_0050509 denotes 27
T9 1264-1265 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T10 1282-1285 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T11 1469-1471 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11
T12 1846-1848 http://purl.obolibrary.org/obo/CLO_0050510 denotes 18
T13 2292-2293 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T14 2562-2563 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T15 2786-2792 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tested
T16 2938-2939 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T17 2966-2973 http://purl.obolibrary.org/obo/UBERON_0000473 denotes testing
T18 2974-2977 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T19 3460-3461 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T20 3640-3642 http://purl.obolibrary.org/obo/CLO_0050509 denotes 27
T21 3782-3788 http://purl.obolibrary.org/obo/CLO_0001011 denotes 13 0·6
T22 3799-3803 http://purl.obolibrary.org/obo/CLO_0001360 denotes 41 2
T23 4107-4108 http://purl.obolibrary.org/obo/CLO_0001020 denotes a

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T2 0-298 Sentence denotes On March 10, at 00:30 h, the official news was posted on the website of the Italian Ministry of Health: a new decree effective until at least April 3 limits the movement of individuals in the whole Italian national territory unless strictly motivated (in written form) by reasons of work or health.
T3 299-408 Sentence denotes Schools, museums, cinemas, theatres, and any other social, recreational, or cultural centre must stay closed.
T4 409-493 Sentence denotes Any gathering in public spaces is forbidden, including sporting events and funerals.
T5 494-522 Sentence denotes Most shops must stay closed.
T6 523-646 Sentence denotes Those selling essentials, such as supermarkets or pharmacies, need to ensure a distance of at least 1 m between customers.1
T7 647-840 Sentence denotes These measures are without precedent and aim to contain the coronavirus disease 2019 (COVID-19) epidemic in Italy after an increase in total deaths of nearly 100% in the 48 h before the decree.
T8 841-1021 Sentence denotes They follow a series of restrictions of increasing severity, starting on Feb 23, 2020, with the lockdown of the geographical area, Codogno, where the first COVID-19 cases occurred.
T9 1022-1576 Sentence denotes The number of positive cases, according to the most recent estimates as of March 16, 18:00 h, is 27 980, which is about 2·8 times higher than 1 week before (10 149 cases recorded on March 10).2, 3 Among these, 2339 (8·4%) are health workers, a proportion that has been increasing over time.2 With 2158 deaths, the estimated case fatality rate stands at 7·7%, which is about twice the rate reported in the first weeks of the epidemic.2, 3 Overall, 11 125 (39·8%) patients have been hospitalised and 1851 (6·6%) admitted to intensive care units (ICUs).2, 3
T10 1577-1643 Sentence denotes The economic and psychological impact of the epidemic is enormous.
T11 1644-1752 Sentence denotes Many sectors of the Italian economy, which is largely based on family-owned small businesses, are suffering.
T12 1753-1777 Sentence denotes The tension is palpable.
T13 1778-1912 Sentence denotes On March 9, riots broke out in prisons, leading to seven deaths and 18 hospitalisations in Modena and 50 escaped prisoners in Foggia.4
T14 1913-2086 Sentence denotes These difficult decisions on public health measures were taken without the support of official, real-time data being available for the public on key surveillance indicators.
T15 2087-2220 Sentence denotes Before March 5, when total deaths were 105, there was no description available of the characteristics of the deceased cases in Italy.
T16 2221-2758 Sentence denotes Later data, still not including all deaths, revealed only one death in a patient under the age of 50 years,5 and 85·5% of patients presenting with at least two pre-existing pathologies.6 While an open-access monitoring dashboard containing several essential indicators was created on March 8, no official Italian Government websites provide a full description of the characteristics (both age and comorbidities) of cases in the ICU, nor of those hospitalised, while unofficial and sometimes conflicting data are circulating in the media.
T17 2759-2991 Sentence denotes Of the multitude of people tested for COVID-19 in Italy, as well as in other countries, it is not clear how many were asymptomatic versus symptomatic, and it is not clear whether a homogeneous criterion for testing has been applied.
T18 2992-3187 Sentence denotes Data are lacking on the prevalence of the disease among asymptomatic populations, so the real prevalence of COVID-19, its spectrum of presentation, and the real mortality rate all remain unknown.
T19 3188-3504 Sentence denotes Moreover, reported case fatality rates across countries are very heterogeneous, with Germany reporting very few fatalities compared with other European countries with similar populations and health systems that reported notably higher case fatality rates, thus suggesting a lack of uniform case definitions (table ).
T20 3505-3558 Sentence denotes Table Reported deaths from COVID-19 on March 16, 2020
T21 3559-3610 Sentence denotes Confirmed cases Deaths Estimated case fatality rate
T22 3611-3633 Sentence denotes China 81 077 3218 4·0%
T23 3634-3656 Sentence denotes Italy 27 980 2158 7·7%
T24 3657-3677 Sentence denotes Iran 14 991 853 5·7%
T25 3678-3702 Sentence denotes South Korea 8236 75 0·9%
T26 3703-3722 Sentence denotes Spain 7753 288 5·7%
T27 3723-3743 Sentence denotes France 5380 127 2·4%
T28 3744-3764 Sentence denotes Germany 4838 12 0·2%
T29 3765-3789 Sentence denotes Switzerland 2200 13 0·6%
T30 3790-3806 Sentence denotes USA 1678 41 2·4%
T31 3807-3861 Sentence denotes Only countries with more than 1500 cases are included.
T32 3862-3944 Sentence denotes Data are from WHO,7 except for Italy, where Ministry of Health reports3 were used.
T33 3945-3979 Sentence denotes COVID-19=coronavirus disease 2019.
T34 3980-4069 Sentence denotes Clearly, better data are needed to support decision making and to build public awareness.
T35 4070-4559 Sentence denotes As priority actions, we call for (1) a uniform system to count deaths and estimate case fatality rates across different countries, (2) surveillance of key characteristics (eg, age, pre-existing pathologies) of both deceased patients and those admitted to the ICU to identify populations at risk and to estimate health service needs, and (3) more research to identify the prevalence and characteristics of the infection in the overall population and to better estimate COVID-19 death rates.
T36 4560-4691 Sentence denotes Strong collaboration is needed at different levels and across countries to optimise public availability of reliable real-time data.