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PMC:7241990 JSONTXT

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LitCovid-PD-FMA-UBERON

Id Subject Object Predicate Lexical cue fma_id
T1 2498-2502 Body_part denotes face http://purl.org/sig/ont/fma/fma24728
T2 2506-2510 Body_part denotes face http://purl.org/sig/ont/fma/fma24728

LitCovid-PD-UBERON

Id Subject Object Predicate Lexical cue uberon_id
T1 691-696 Body_part denotes scale http://purl.obolibrary.org/obo/UBERON_0002542
T2 2498-2502 Body_part denotes face http://purl.obolibrary.org/obo/UBERON_0001456
T3 2506-2510 Body_part denotes face http://purl.obolibrary.org/obo/UBERON_0001456

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 49-57 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T3 2376-2384 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T4 4731-4733 Disease denotes he http://purl.obolibrary.org/obo/MONDO_0017319
T5 5237-5245 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T6 5665-5673 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T7 5761-5769 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T8 5775-5783 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T9 5932-5940 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T10 5983-5991 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T11 6356-6364 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T1 67-70 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T2 140-143 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T3 202-205 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T4 218-219 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T5 431-436 http://purl.obolibrary.org/obo/CLO_0053428 denotes camps
T6 595-598 http://purl.obolibrary.org/obo/CLO_0001302 denotes 3–4
T7 723-726 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T8 1325-1331 http://purl.obolibrary.org/obo/CLO_0009609 denotes wished
T9 1434-1435 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T10 1481-1482 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T11 1862-1863 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T12 2118-2119 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T13 2351-2352 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T14 2457-2458 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T15 2487-2488 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T16 2498-2502 http://purl.obolibrary.org/obo/UBERON_0001456 denotes face
T17 2506-2510 http://purl.obolibrary.org/obo/UBERON_0001456 denotes face
T18 3008-3009 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T19 3052-3053 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T20 3245-3246 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T21 3472-3473 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T22 3804-3805 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T23 4261-4262 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T24 5118-5119 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T25 5464-5468 http://purl.obolibrary.org/obo/PR_000001318 denotes sell
T26 5542-5543 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T27 5651-5654 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T28 5663-5664 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T29 6389-6395 http://purl.obolibrary.org/obo/CLO_0001658 denotes active

LitCovid-PD-CHEBI

Id Subject Object Predicate Lexical cue chebi_id
T1 3520-3525 Chemical denotes group http://purl.obolibrary.org/obo/CHEBI_24433
T2 3749-3751 Chemical denotes Co http://purl.obolibrary.org/obo/CHEBI_27638
T3 4066-4068 Chemical denotes MA http://purl.obolibrary.org/obo/CHEBI_474859|http://purl.obolibrary.org/obo/CHEBI_73610|http://purl.obolibrary.org/obo/CHEBI_90325

LitCovid-PD-GO-BP

Id Subject Object Predicate Lexical cue
T1 2291-2299 http://purl.obolibrary.org/obo/GO_0007612 denotes learning
T2 2882-2890 http://purl.obolibrary.org/obo/GO_0007612 denotes learning

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T1 0-43 Sentence denotes COVID-19: consequences for higher education
T2 45-126 Sentence denotes The COVID-19 pandemic has already cost UK universities an estimated £790 million.
T3 127-217 Sentence denotes The shutdown has meant that accommodation, catering, and conference income has evaporated.
T4 218-261 Sentence denotes A similar situation is evolving in the USA.
T5 262-437 Sentence denotes In the 2017 fiscal year, the US higher education sector earned about US$44·6 billion in so-called auxiliary revenues, such as bookstores, halls of residence, and summer camps.
T6 438-498 Sentence denotes The figure for this year is likely to be nearer $30 billion.
T7 499-639 Sentence denotes Meanwhile, Australia expects its higher education sector to lose somewhere in the region of AUS$3–4·6 billion for the 2019–20 academic year.
T8 640-769 Sentence denotes Universities worldwide have been forced rapidly to scale up online teaching, which has typically entailed unexpected expenditure.
T9 770-900 Sentence denotes They have had to find money to continue paying their staff, as well as deep-cleaning facilities and mothballing research projects.
T10 901-1021 Sentence denotes Yet, sizeable as the losses are for the current academic year, they could easily be dwarfed by those expected next year.
T11 1022-1108 Sentence denotes The economic downturn will force thousands of youngsters to defer entering university.
T12 1109-1176 Sentence denotes More than 20 million Americans lost their jobs in April 2020 alone.
T13 1177-1282 Sentence denotes Students from outside the UK and EU contribute about £6·9 billion in yearly fees to British universities.
T14 1283-1480 Sentence denotes Encouraged by successive governments, who wished to bolster commercial education, institutions have come to rely on this money, which represents about a third of the total income from tuition fees.
T15 1481-1585 Sentence denotes A collapse in the international student market, which seems inevitable, would have serious consequences.
T16 1586-1617 Sentence denotes Australia is similarly exposed.
T17 1618-1688 Sentence denotes Its higher education sector hosts more 300 000 students from overseas.
T18 1689-1883 Sentence denotes Terry Hartle (Vice-President of the American Council on Education, Washington, DC, USA) expects international enrolments in US universities and colleges to fall by at least a quarter in 2020–21.
T19 1884-2044 Sentence denotes Prospective students might also be put off by the physical distancing requirements that are likely to prevail on university campuses for the foreseeable future.
T20 2045-2270 Sentence denotes Much will depend on the dynamics of the pandemic. “We really do not have a handle on what will happen when it comes to September”, said Hartle. “Very few schools in the USA are certain that they will be able to open on time.”
T21 2271-2385 Sentence denotes The shift to online learning looks set to continue at least until the advent of a successful vaccine for COVID-19.
T22 2386-2928 Sentence denotes This situation raises questions about whether institutions can justify a fee structure predicated on a model of face-to-face contact. “Students generally report that university is much more than just tuition—place is also really important”, said Simon Marginson (Professor of Higher Education at the University of Oxford, Oxford, UK). “If students are going to miss half of what usually constitutes the student experience, are they really receiving the same value for money?” Furthermore, online learning is no substitute for laboratory work.
T23 2929-3218 Sentence denotes Moreover, recessions diminish the prospects for graduate employment. “You have a downgrading of the student experience and a downgrading of the value of the degree; I think it is going to be difficult for universities to sustain the same level of fees that they have been”, said Marginson.
T24 3219-3582 Sentence denotes It could easily add up to a perfect storm: weakening of domestic and international demand coupled with pressure to decrease fees. “Without any action, universities will be forced to make huge cuts, jobs will be lost, and vital research will be halted”, a spokesperson for Universities UK, an umbrella group representing 137 institutions, told The Lancet Oncology.
T25 3583-4002 Sentence denotes “Pretty much every university in the country is looking at voluntary redundancies”, added Malcolm Reed (Dean of Brighton and Sussex Medical School, Brighton, UK, and Co-Chair of the Medical Schools Council, London, UK). “A lot of staff on short-term contracts are likely to go, and funding for PhDs is looking very precarious because of the impact on charities; our pool of future researchers is going to be shallower.”
T26 4003-4148 Sentence denotes Prestigious research institutions, such as Harvard (Cambridge, MA, USA) or Oxford (UK) universities, are well placed to weather the coming storm.
T27 4149-4529 Sentence denotes But places that fall lower down the league tables are vulnerable, especially if international student fees form a big part of their income. “For the most part, medical schools and high-quality research will be ring-fenced from changes”, said Marginson. “Medicine and life sciences are very strong in the UK system; I am confident that they will survive when other things go down”.
T28 4530-4576 Sentence denotes Much will depend on the depth of the downturn.
T29 4577-4739 Sentence denotes Reed points out that medical schools are integrated within the university's wider economy. “If the university is under threat, so is the medical school”, he said.
T30 4740-4842 Sentence denotes Clinical placements for UK medical students in their penultimate year have been suspended since March.
T31 4843-4934 Sentence denotes Reed hopes that if they are able to restart by September, the lost ground can be recovered.
T32 4935-5165 Sentence denotes But any further delay would be problematic. “There is no simple answer as to how to deal with students who have missed 6 months of their clinical experience”, said Reed. “It would be a real threat to graduating on time next year”.
T33 5166-5282 Sentence denotes As The Lancet Oncology went to press, the number of confirmed cases of COVID-19 worldwide was approaching 5 million.
T34 5283-5415 Sentence denotes In the absence of substantial financial support, many of the world's colleges and universities are unlikely to survive the pandemic.
T35 5416-5585 Sentence denotes Others will have to shut down large projects or sell property. “This is an epochal event”, said Hartle. “It is going to leave a huge impression on the education sector.”
T36 5586-5770 Sentence denotes © 2020 Ruth Swan/Shutterstock.com2020Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19.
T37 5771-5881 Sentence denotes The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website.
T38 5882-6285 Sentence denotes Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source.
T39 6286-6396 Sentence denotes These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

LitCovid-PD-HP

Id Subject Object Predicate Lexical cue hp_id
T1 3573-3581 Phenotype denotes Oncology http://purl.obolibrary.org/obo/HP_0002664
T2 5180-5188 Phenotype denotes Oncology http://purl.obolibrary.org/obo/HP_0002664

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
1 0-8 Disease denotes COVID-19 MESH:C000657245
4 591-598 Gene denotes AUS$3–4
5 49-57 Disease denotes COVID-19 MESH:C000657245
7 2376-2384 Disease denotes COVID-19 MESH:C000657245
9 5237-5245 Disease denotes COVID-19 MESH:C000657245
18 5743-5760 Species denotes novel coronavirus Tax:2697049
19 5665-5673 Disease denotes COVID-19 MESH:C000657245
20 5761-5769 Disease denotes COVID-19 MESH:C000657245
21 5775-5783 Disease denotes COVID-19 MESH:C000657245
22 5932-5940 Disease denotes COVID-19 MESH:C000657245
23 5983-5991 Disease denotes COVID-19 MESH:C000657245
24 6140-6145 Disease denotes COVID MESH:C000657245
25 6356-6364 Disease denotes COVID-19 MESH:C000657245