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PMC:7129277 / 750-5919 JSONTXT

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LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T4 57-61 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T5 83-107 Disease denotes coronavirus disease 2019 http://purl.obolibrary.org/obo/MONDO_0100096
T6 109-119 Disease denotes COVID-2019 http://purl.obolibrary.org/obo/MONDO_0100096
T7 312-320 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T8 416-424 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T9 790-798 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T10 939-957 Disease denotes sleep disturbances http://purl.obolibrary.org/obo/MONDO_0003406
T11 1005-1014 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T12 1281-1289 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T13 1290-1299 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T14 1395-1403 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T15 1404-1413 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T16 2327-2335 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T17 2747-2757 Disease denotes infections http://purl.obolibrary.org/obo/MONDO_0005550
T18 3621-3629 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T19 4900-4908 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T20 4937-4940 Disease denotes ADM http://purl.obolibrary.org/obo/MONDO_0043317
T21 5020-5022 Disease denotes NM http://purl.obolibrary.org/obo/MONDO_0008091|http://purl.obolibrary.org/obo/MONDO_0011603

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T3 225-228 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T4 321-322 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T5 610-611 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T6 1047-1048 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T7 1195-1197 http://purl.obolibrary.org/obo/CLO_0050507 denotes 22
T8 1473-1476 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T9 1477-1478 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T10 1560-1561 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T11 1676-1677 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T12 1911-1916 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T13 2159-2160 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T14 2370-2371 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T15 2399-2400 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T16 2614-2615 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T17 3017-3020 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T18 3924-3925 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T19 4230-4231 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T20 4421-4422 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T21 4712-4718 http://purl.obolibrary.org/obo/UBERON_0007688 denotes fields
T22 4815-4817 http://purl.obolibrary.org/obo/CLO_0001997 denotes BM
T23 4822-4825 http://purl.obolibrary.org/obo/CLO_0008195 denotes NRK
T24 4822-4825 http://purl.obolibrary.org/obo/CLO_0051425 denotes NRK

LitCovid-PD-CHEBI

Id Subject Object Predicate Lexical cue chebi_id
T1 5020-5022 Chemical denotes NM http://purl.obolibrary.org/obo/CHEBI_141423

LitCovid-PD-HP

Id Subject Object Predicate Lexical cue hp_id
T1 939-957 Phenotype denotes sleep disturbances http://purl.obolibrary.org/obo/HP_0002360
T2 972-979 Phenotype denotes fatigue http://purl.obolibrary.org/obo/HP_0012378

LitCovid-PD-GO-BP

Id Subject Object Predicate Lexical cue
T1 939-944 http://purl.obolibrary.org/obo/GO_0030431 denotes sleep

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T9 0-10 Sentence denotes To editor,
T10 11-254 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 255-387 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 388-502 Sentence denotes To date, confirmed cases of COVID-19 have surpassed 240,000 cases and global death toll exceeds 10,000 people [2].
T13 503-606 Sentence denotes The well-being of the health care workforce is the cornerstone of every well-functioning health system.
T14 607-762 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 763-839 Sentence denotes The overwhelming burden of COVID-19 illness could lead to caregiver burnout.
T16 840-1076 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 1077-1208 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 1209-1414 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 1415-1587 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 1588-1744 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 1745-1807 Sentence denotes The most important aspect of being prepared is planning ahead.
T22 1808-1944 Sentence denotes The concept of “forward triage” was designed for response to various types of crisis scenarios such as virus epidemics and catastrophes.
T23 1945-2061 Sentence denotes Forward triage is the process of determining the patients’ condition before they arrive in the emergency department.
T24 2062-2174 Sentence denotes Direct-to-consumer telemedicine can enable patients to connect with their healthcare provider at a distance [4].
T25 2175-2366 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 2367-2520 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 2521-2656 Sentence denotes Moreover, this approach provides remote monitoring of recently discharged patients, which is a crucial step in containing the outbreak.
T28 2657-2758 Sentence denotes In addition, providing care from afar can help reduce the risk of clinicians’ exposure to infections.
T29 2759-3010 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 3011-3133 Sentence denotes China has also implemented real-time virtual consultation services that addresses the home health care needs for patients.
T31 3134-3291 Sentence denotes Although limitations including payment, credentialing, ethical consideration, and staffing of specialists are also exist that needs to be taken into account.
T32 3292-3435 Sentence denotes The decline in workforce capacity of physicians and nurses raise serious concerns about diminishing the quality of health care delivery system.
T33 3436-3715 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 3716-3951 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 3952-4023 Sentence denotes Creating telemedicine program takes time and does not happen overnight.
T36 4024-4076 Sentence denotes It requires sources, funding and precise guidelines.
T37 4077-4166 Sentence denotes Many countries have been already invested in telemedicine and received promising results.
T38 4167-4331 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 4332-4565 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 4566-4669 Sentence denotes It should be remembered that planning ahead can drastically improve our crisis management capabilities.
T41 4670-4790 Sentence denotes It is time for our experts from different fields to start addressing this issue and put their suggestions into practice.
T42 4792-4814 Sentence denotes Authors’ contributions
T43 4815-4936 Sentence denotes BM and NRK highlighted the potential use of telemedicine for triage of patients with COVID-19 and drafted the manuscript.
T44 4937-5019 Sentence denotes ADM and EF contributed to the discussion and revised and formatted the manuscript.
T45 5020-5075 Sentence denotes NM contributed to the discussion and revised the draft.
T46 5076-5127 Sentence denotes All authors read and approved the final manuscript.
T47 5129-5163 Sentence denotes Declarations of Competing Interest
T48 5164-5169 Sentence denotes None.

LitCovid-PMC-OGER-BB

Id Subject Object Predicate Lexical cue
T5 45-56 NCBITaxon:11118 denotes coronavirus
T6 57-67 SP_7 denotes SARS‐CoV‐2
T7 83-94 NCBITaxon:11118 denotes coronavirus
T8 312-320 SP_7 denotes COVID-19
T9 377-382 UBERON:0010230 denotes globe
T10 416-424 SP_7 denotes COVID-19
T11 465-470 GO:0016265 denotes death
T12 491-497 NCBITaxon:9606 denotes people
T13 592-605 UBERON:0000467 denotes health system
T14 790-798 SP_7 denotes COVID-19
T15 939-944 GO:0030431 denotes sleep
T16 1049-1053 UBERON:0000104 denotes life
T17 1203-1207 GO:0016265 denotes died
T18 1269-1273 GO:0016265 denotes died
T19 1281-1289 SP_7 denotes COVID-19
T20 1395-1403 SP_7 denotes COVID-19
T21 1911-1916 NCBITaxon:10239 denotes virus
T22 2327-2335 SP_7 denotes COVID-19
T23 2938-2948 UBERON:0001016 denotes neurologic
T24 2990-3000 UBERON:0001016 denotes neurologic
T25 3621-3629 SP_7 denotes COVID-19
T26 3771-3777 NCBITaxon:9606 denotes person
T27 4900-4908 SP_7 denotes COVID-19
T88146 45-56 NCBITaxon:11118 denotes coronavirus
T68274 57-67 SP_7 denotes SARS‐CoV‐2
T19449 83-94 NCBITaxon:11118 denotes coronavirus
T25020 312-320 SP_7 denotes COVID-19
T82072 377-382 UBERON:0010230 denotes globe
T19401 416-424 SP_7 denotes COVID-19
T71590 465-470 GO:0016265 denotes death
T64066 491-497 NCBITaxon:9606 denotes people
T88602 592-605 UBERON:0000467 denotes health system
T61329 790-798 SP_7 denotes COVID-19
T57533 939-944 GO:0030431 denotes sleep
T88676 1049-1053 UBERON:0000104 denotes life
T94000 1203-1207 GO:0016265 denotes died
T1794 1269-1273 GO:0016265 denotes died
T13157 1281-1289 SP_7 denotes COVID-19
T31349 1395-1403 SP_7 denotes COVID-19
T10178 1911-1916 NCBITaxon:10239 denotes virus
T21252 2327-2335 SP_7 denotes COVID-19
T93840 2938-2948 UBERON:0001016 denotes neurologic
T55252 2990-3000 UBERON:0001016 denotes neurologic
T37245 3621-3629 SP_7 denotes COVID-19
T86739 3771-3777 NCBITaxon:9606 denotes person
T57462 4900-4908 SP_7 denotes COVID-19

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
18 39-56 Species denotes novel coronavirus Tax:2697049
19 57-67 Species denotes SARS‐CoV‐2 Tax:2697049
20 491-497 Species denotes people Tax:9606
21 83-107 Disease denotes coronavirus disease 2019 MESH:C000657245
22 109-119 Disease denotes COVID-2019 MESH:C000657245
23 312-320 Disease denotes COVID-19 MESH:C000657245
24 416-424 Disease denotes COVID-19 MESH:C000657245
25 465-470 Disease denotes death MESH:D003643
38 1504-1512 Species denotes patients Tax:9606
39 790-798 Disease denotes COVID-19 MESH:C000657245
40 939-957 Disease denotes sleep disturbances MESH:D012893
41 972-979 Disease denotes fatigue MESH:D005221
42 1005-1014 Disease denotes infection MESH:D007239
43 1173-1181 Disease denotes infected MESH:D007239
44 1203-1207 Disease denotes died MESH:D003643
45 1269-1273 Disease denotes died MESH:D003643
46 1281-1289 Disease denotes COVID-19 MESH:C000657245
47 1290-1299 Disease denotes infection MESH:D007239
48 1395-1403 Disease denotes COVID-19 MESH:C000657245
49 1404-1413 Disease denotes infection MESH:D007239
58 1694-1702 Species denotes patients Tax:9606
59 1994-2002 Species denotes patients Tax:9606
60 2105-2113 Species denotes patients Tax:9606
61 2298-2306 Species denotes patients Tax:9606
62 2436-2444 Species denotes patients Tax:9606
63 2595-2603 Species denotes patients Tax:9606
64 2327-2335 Disease denotes COVID-19 MESH:C000657245
65 2747-2757 Disease denotes infections MESH:D007239
68 2963-2971 Species denotes patients Tax:9606
69 3124-3132 Species denotes patients Tax:9606
75 3684-3692 Species denotes patients Tax:9606
76 3778-3785 Species denotes patient Tax:9606
77 3906-3914 Species denotes patients Tax:9606
78 3621-3629 Disease denotes COVID-19 MESH:C000657245
79 3926-3940 Disease denotes critically-ill MESH:D016638
82 4187-4195 Species denotes patients Tax:9606
83 4445-4452 Species denotes patient Tax:9606
88 4937-4940 Gene denotes ADM Gene:133
89 4822-4825 Gene denotes NRK Gene:203447
90 4886-4894 Species denotes patients Tax:9606
91 4900-4908 Disease denotes COVID-19 MESH:C000657245