> top > docs > PMC:7129277 > annotations

PMC:7129277 JSONTXT

Annnotations TAB JSON ListView MergeView

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T1 0-8 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T2 398-406 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T3 709-717 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T4 807-811 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T5 833-857 Disease denotes coronavirus disease 2019 http://purl.obolibrary.org/obo/MONDO_0100096
T6 859-869 Disease denotes COVID-2019 http://purl.obolibrary.org/obo/MONDO_0100096
T7 1062-1070 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T8 1166-1174 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T9 1540-1548 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T10 1689-1707 Disease denotes sleep disturbances http://purl.obolibrary.org/obo/MONDO_0003406
T11 1755-1764 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T12 2031-2039 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T13 2040-2049 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T14 2145-2153 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T15 2154-2163 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T16 3077-3085 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T17 3497-3507 Disease denotes infections http://purl.obolibrary.org/obo/MONDO_0005550
T18 4371-4379 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T19 5650-5658 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T20 5687-5690 Disease denotes ADM http://purl.obolibrary.org/obo/MONDO_0043317
T21 5770-5772 Disease denotes NM http://purl.obolibrary.org/obo/MONDO_0008091|http://purl.obolibrary.org/obo/MONDO_0011603
T23 6036-6044 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T1 218-219 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T2 545-546 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T3 975-978 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T4 1071-1072 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T5 1360-1361 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T6 1797-1798 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T7 1945-1947 http://purl.obolibrary.org/obo/CLO_0050507 denotes 22
T8 2223-2226 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T9 2227-2228 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T10 2310-2311 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T11 2426-2427 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T12 2661-2666 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T13 2909-2910 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T14 3120-3121 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T15 3149-3150 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T16 3364-3365 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T17 3767-3770 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T18 4674-4675 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T19 4980-4981 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T20 5171-5172 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T21 5462-5468 http://purl.obolibrary.org/obo/UBERON_0007688 denotes fields
T22 5565-5567 http://purl.obolibrary.org/obo/CLO_0001997 denotes BM
T23 5572-5575 http://purl.obolibrary.org/obo/CLO_0008195 denotes NRK
T24 5572-5575 http://purl.obolibrary.org/obo/CLO_0051425 denotes NRK

LitCovid-PD-CHEBI

Id Subject Object Predicate Lexical cue chebi_id
T1 5770-5772 Chemical denotes NM http://purl.obolibrary.org/obo/CHEBI_141423

LitCovid-PD-HP

Id Subject Object Predicate Lexical cue hp_id
T1 1689-1707 Phenotype denotes sleep disturbances http://purl.obolibrary.org/obo/HP_0002360
T2 1722-1729 Phenotype denotes fatigue http://purl.obolibrary.org/obo/HP_0012378

LitCovid-PD-GO-BP

Id Subject Object Predicate Lexical cue
T1 1689-1694 http://purl.obolibrary.org/obo/GO_0030431 denotes sleep
T2 5971-5977 http://purl.obolibrary.org/obo/GO_0007613 denotes memory

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T1 0-26 Sentence denotes COVID-19 and telemedicine:
T2 27-100 Sentence denotes Immediate action required for maintaining healthcare providers well-being
T3 102-110 Sentence denotes Abstract
T4 111-214 Sentence denotes The well-being of the health care workforce is the cornerstone of every well-functioning health system.
T5 215-370 Sentence denotes As a result of the pandemic, medical healthcare providers are under an enormous amount of workload pressure along with increased total health expenditures.
T6 371-447 Sentence denotes The overwhelming burden of COVID-19 illness could lead to caregiver burnout.
T7 448-556 Sentence denotes Direct-to-consumer telemedicine can enable patients to connect with their healthcare provider at a distance.
T8 557-748 Sentence denotes This virtual platform could be used by smartphones or webcam-enabled computers and allows physicians to effectively screen patients with early signs of COVID-19 before they reach to hospital.
T9 750-760 Sentence denotes To editor,
T10 761-1004 Sentence denotes Since the first case of the novel coronavirus SARS‐CoV‐2, also known as coronavirus disease 2019 (COVID-2019) was identified in Wuhan, Hubei province, China at the end of 2019, the number of new cases out of China has risen rapidly day to day.
T11 1005-1137 Sentence denotes On 11th March 2020, the WHO Emergency Committee declared COVID-19 a global pandemic that will affect all countries on the globe [1].
T12 1138-1252 Sentence denotes To date, confirmed cases of COVID-19 have surpassed 240,000 cases and global death toll exceeds 10,000 people [2].
T13 1253-1356 Sentence denotes The well-being of the health care workforce is the cornerstone of every well-functioning health system.
T14 1357-1512 Sentence denotes As a result of the pandemic, medical healthcare providers are under an enormous amount of workload pressure along with increased total health expenditures.
T15 1513-1589 Sentence denotes The overwhelming burden of COVID-19 illness could lead to caregiver burnout.
T16 1590-1826 Sentence denotes The major causes of psychological distress among healthcare workers are including long work hours, sleep disturbances, debilitating fatigue, and the risk of getting infection and put their family at risk of a life-threatening condition.
T17 1827-1958 Sentence denotes According to the China's National Health Commission, more than 3300 healthcare workers had been infected and at least 22 have died.
T18 1959-2164 Sentence denotes Unfortunately, in Iran, at least 40 healthcare workers have died due to COVID-19 infection and dozens have reportedly been put under observation after experiencing signs and symptoms of COVID-19 infection.
T19 2165-2337 Sentence denotes Physicians’ burnout and shortage of health care workforce has a serious consequences for patients and could cause medical system on the verge of a devastating collapse [3].
T20 2338-2494 Sentence denotes In times of outbreak, emergency departments can be an overwhelming, chaotic places when a large number of patients arriving at local health care facilities.
T21 2495-2557 Sentence denotes The most important aspect of being prepared is planning ahead.
T22 2558-2694 Sentence denotes The concept of “forward triage” was designed for response to various types of crisis scenarios such as virus epidemics and catastrophes.
T23 2695-2811 Sentence denotes Forward triage is the process of determining the patients’ condition before they arrive in the emergency department.
T24 2812-2924 Sentence denotes Direct-to-consumer telemedicine can enable patients to connect with their healthcare provider at a distance [4].
T25 2925-3116 Sentence denotes This virtual platform could be used by smartphones or webcam-enabled computers and allows physicians to effectively screen patients with early signs of COVID-19 before they reach to hospital.
T26 3117-3270 Sentence denotes As a result, this could lead to a substantial decline in unnecessary patients visit, promoting self-quarantine and reducing emergency department overuse.
T27 3271-3406 Sentence denotes Moreover, this approach provides remote monitoring of recently discharged patients, which is a crucial step in containing the outbreak.
T28 3407-3508 Sentence denotes In addition, providing care from afar can help reduce the risk of clinicians’ exposure to infections.
T29 3509-3760 Sentence denotes The use of telemedicine had been largely evaluated by numbers of hospital systems such as Jefferson Health, Cleveland Clinic, and the University of Pittsburgh that provide online neurologic assessment in patients need an emergency neurologic care [5].
T30 3761-3883 Sentence denotes China has also implemented real-time virtual consultation services that addresses the home health care needs for patients.
T31 3884-4041 Sentence denotes Although limitations including payment, credentialing, ethical consideration, and staffing of specialists are also exist that needs to be taken into account.
T32 4042-4185 Sentence denotes The decline in workforce capacity of physicians and nurses raise serious concerns about diminishing the quality of health care delivery system.
T33 4186-4465 Sentence denotes This fact will emphasize another important aspect of using telemedicine which is the ability to reinforce those health care workers that have been quarantined at home after exposure to COVID-19 and employ quarantined physicians to communicate with patients remotely via computer.
T34 4466-4701 Sentence denotes It should be noted that telemedicine cannot replace in-person patient care, but could benefit other frontline physicians by reducing their workload and optimizing their time to attending to patients being in a critically-ill condition.
T35 4702-4773 Sentence denotes Creating telemedicine program takes time and does not happen overnight.
T36 4774-4826 Sentence denotes It requires sources, funding and precise guidelines.
T37 4827-4916 Sentence denotes Many countries have been already invested in telemedicine and received promising results.
T38 4917-5081 Sentence denotes The chaotic flow of patients in the emergency departments pose a unique challenge to the maintenance of quality of care especially in times of crisis and pandemics.
T39 5082-5315 Sentence denotes Forward triage via telemedicine can turn these obstacles into an opportunity and provide a pathway to overcoming patient flow and reducing the workload of physicians as well as minimizing the risk of exposure of healthcare providers.
T40 5316-5419 Sentence denotes It should be remembered that planning ahead can drastically improve our crisis management capabilities.
T41 5420-5540 Sentence denotes It is time for our experts from different fields to start addressing this issue and put their suggestions into practice.
T42 5542-5564 Sentence denotes Authors’ contributions
T43 5565-5686 Sentence denotes BM and NRK highlighted the potential use of telemedicine for triage of patients with COVID-19 and drafted the manuscript.
T44 5687-5769 Sentence denotes ADM and EF contributed to the discussion and revised and formatted the manuscript.
T45 5770-5825 Sentence denotes NM contributed to the discussion and revised the draft.
T46 5826-5877 Sentence denotes All authors read and approved the final manuscript.
T47 5879-5913 Sentence denotes Declarations of Competing Interest
T48 5914-5919 Sentence denotes None.
T49 5921-5936 Sentence denotes Acknowledgement
T50 5937-6045 Sentence denotes This is dedicated to honoring the memory of our brave fallen doctors and nurses who fought against COVID-19.

LitCovid-PMC-OGER-BB

Id Subject Object Predicate Lexical cue
T1 0-8 SP_7 denotes COVID-19
T2 200-213 UBERON:0000467 denotes health system
T3 398-406 SP_7 denotes COVID-19
T4 709-717 SP_7 denotes COVID-19
T5 795-806 NCBITaxon:11118 denotes coronavirus
T6 807-817 SP_7 denotes SARS‐CoV‐2
T7 833-844 NCBITaxon:11118 denotes coronavirus
T8 1062-1070 SP_7 denotes COVID-19
T9 1127-1132 UBERON:0010230 denotes globe
T10 1166-1174 SP_7 denotes COVID-19
T11 1215-1220 GO:0016265 denotes death
T12 1241-1247 NCBITaxon:9606 denotes people
T13 1342-1355 UBERON:0000467 denotes health system
T14 1540-1548 SP_7 denotes COVID-19
T15 1689-1694 GO:0030431 denotes sleep
T16 1799-1803 UBERON:0000104 denotes life
T17 1953-1957 GO:0016265 denotes died
T18 2019-2023 GO:0016265 denotes died
T19 2031-2039 SP_7 denotes COVID-19
T20 2145-2153 SP_7 denotes COVID-19
T21 2661-2666 NCBITaxon:10239 denotes virus
T22 3077-3085 SP_7 denotes COVID-19
T23 3688-3698 UBERON:0001016 denotes neurologic
T24 3740-3750 UBERON:0001016 denotes neurologic
T25 4371-4379 SP_7 denotes COVID-19
T26 4521-4527 NCBITaxon:9606 denotes person
T27 5650-5658 SP_7 denotes COVID-19
T32593 0-8 SP_7 denotes COVID-19
T80927 200-213 UBERON:0000467 denotes health system
T76552 398-406 SP_7 denotes COVID-19
T72890 709-717 SP_7 denotes COVID-19
T88146 795-806 NCBITaxon:11118 denotes coronavirus
T68274 807-817 SP_7 denotes SARS‐CoV‐2
T19449 833-844 NCBITaxon:11118 denotes coronavirus
T25020 1062-1070 SP_7 denotes COVID-19
T82072 1127-1132 UBERON:0010230 denotes globe
T19401 1166-1174 SP_7 denotes COVID-19
T71590 1215-1220 GO:0016265 denotes death
T64066 1241-1247 NCBITaxon:9606 denotes people
T88602 1342-1355 UBERON:0000467 denotes health system
T61329 1540-1548 SP_7 denotes COVID-19
T57533 1689-1694 GO:0030431 denotes sleep
T88676 1799-1803 UBERON:0000104 denotes life
T94000 1953-1957 GO:0016265 denotes died
T1794 2019-2023 GO:0016265 denotes died
T13157 2031-2039 SP_7 denotes COVID-19
T31349 2145-2153 SP_7 denotes COVID-19
T10178 2661-2666 NCBITaxon:10239 denotes virus
T21252 3077-3085 SP_7 denotes COVID-19
T93840 3688-3698 UBERON:0001016 denotes neurologic
T55252 3740-3750 UBERON:0001016 denotes neurologic
T37245 4371-4379 SP_7 denotes COVID-19
T86739 4521-4527 NCBITaxon:9606 denotes person
T57462 5650-5658 SP_7 denotes COVID-19

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
1 0-8 Disease denotes COVID-19 MESH:C000657245
6 491-499 Species denotes patients Tax:9606
7 680-688 Species denotes patients Tax:9606
8 398-406 Disease denotes COVID-19 MESH:C000657245
9 709-717 Disease denotes COVID-19 MESH:C000657245
18 789-806 Species denotes novel coronavirus Tax:2697049
19 807-817 Species denotes SARS‐CoV‐2 Tax:2697049
20 1241-1247 Species denotes people Tax:9606
21 833-857 Disease denotes coronavirus disease 2019 MESH:C000657245
22 859-869 Disease denotes COVID-2019 MESH:C000657245
23 1062-1070 Disease denotes COVID-19 MESH:C000657245
24 1166-1174 Disease denotes COVID-19 MESH:C000657245
25 1215-1220 Disease denotes death MESH:D003643
38 2254-2262 Species denotes patients Tax:9606
39 1540-1548 Disease denotes COVID-19 MESH:C000657245
40 1689-1707 Disease denotes sleep disturbances MESH:D012893
41 1722-1729 Disease denotes fatigue MESH:D005221
42 1755-1764 Disease denotes infection MESH:D007239
43 1923-1931 Disease denotes infected MESH:D007239
44 1953-1957 Disease denotes died MESH:D003643
45 2019-2023 Disease denotes died MESH:D003643
46 2031-2039 Disease denotes COVID-19 MESH:C000657245
47 2040-2049 Disease denotes infection MESH:D007239
48 2145-2153 Disease denotes COVID-19 MESH:C000657245
49 2154-2163 Disease denotes infection MESH:D007239
58 2444-2452 Species denotes patients Tax:9606
59 2744-2752 Species denotes patients Tax:9606
60 2855-2863 Species denotes patients Tax:9606
61 3048-3056 Species denotes patients Tax:9606
62 3186-3194 Species denotes patients Tax:9606
63 3345-3353 Species denotes patients Tax:9606
64 3077-3085 Disease denotes COVID-19 MESH:C000657245
65 3497-3507 Disease denotes infections MESH:D007239
68 3713-3721 Species denotes patients Tax:9606
69 3874-3882 Species denotes patients Tax:9606
75 4434-4442 Species denotes patients Tax:9606
76 4528-4535 Species denotes patient Tax:9606
77 4656-4664 Species denotes patients Tax:9606
78 4371-4379 Disease denotes COVID-19 MESH:C000657245
79 4676-4690 Disease denotes critically-ill MESH:D016638
82 4937-4945 Species denotes patients Tax:9606
83 5195-5202 Species denotes patient Tax:9606
88 5687-5690 Gene denotes ADM Gene:133
89 5572-5575 Gene denotes NRK Gene:203447
90 5636-5644 Species denotes patients Tax:9606
91 5650-5658 Disease denotes COVID-19 MESH:C000657245