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LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
1 50-65 Species denotes new coronavirus Tax:2697049
4 258-273 Species denotes new coronavirus Tax:2697049
5 123-131 Disease denotes COVID-19 MESH:C000657245
7 336-353 Species denotes Novel coronavirus Tax:2697049
10 403-418 Species denotes new coronavirus Tax:2697049
11 420-435 Species denotes COVID-19) virus Tax:2697049
13 827-835 Disease denotes COVID-19 MESH:C000657245
17 912-917 Species denotes human Tax:9606
18 921-926 Species denotes human Tax:9606
19 985-993 Species denotes patients Tax:9606
23 1658-1669 Species denotes coronavirus Tax:11118
24 1535-1543 Disease denotes COVID-19 MESH:C000657245
25 1704-1713 Disease denotes infection MESH:D007239
30 1974-1980 Species denotes people Tax:9606
31 2006-2014 Disease denotes infected MESH:D007239
32 2047-2051 Disease denotes died MESH:D003643
33 2095-2101 Disease denotes deaths MESH:D003643
36 2218-2235 Species denotes novel coronavirus Tax:2697049
37 2237-2245 Disease denotes COVID-19 MESH:C000657245
40 2479-2485 Species denotes people Tax:9606
41 2544-2550 Species denotes people Tax:9606
43 2822-2828 Disease denotes deaths MESH:D003643
45 2940-2946 Species denotes stocks Tax:3724
47 3349-3368 Disease denotes infectious diseases MESH:D003141
49 3470-3476 Species denotes Turkey Tax:9103
51 4469-4475 Disease denotes Cancer MESH:D009369
53 4563-4569 Disease denotes cancer MESH:D009369
58 4810-4816 Disease denotes cancer MESH:D009369
59 4969-4990 Disease denotes Cancer’s World cancer MESH:D009369
60 4999-5005 Disease denotes cancer MESH:D009369
61 5019-5025 Disease denotes cancer MESH:D009369
65 5152-5159 Disease denotes cancers MESH:D009369
66 5260-5266 Disease denotes cancer MESH:D009369
67 5431-5437 Disease denotes cancer MESH:D009369
69 6065-6070 Species denotes human Tax:9606
73 6305-6310 Species denotes human Tax:9606
74 6321-6326 Species denotes girls Tax:9606
75 6331-6336 Species denotes women Tax:9606
80 6559-6564 Species denotes girls Tax:9606
81 6569-6574 Species denotes women Tax:9606
82 6666-6671 Species denotes girls Tax:9606
83 6676-6681 Species denotes women Tax:9606
85 7151-7156 Species denotes woman Tax:9606
87 7551-7557 Disease denotes Joseph MESH:D017827
92 8139-8167 Species denotes human immunodeficiency virus Tax:12721
93 8169-8172 Species denotes HIV Tax:12721
94 8175-8187 Disease denotes tuberculosis MESH:D014376
95 8192-8199 Disease denotes malaria MESH:D008288
99 8223-8226 Species denotes HIV Tax:12721
100 8228-8240 Disease denotes tuberculosis MESH:D014376
101 8245-8252 Disease denotes malaria MESH:D008288
103 8633-8640 Chemical denotes Alcohol MESH:D000438

LitCovid-PD-FMA-UBERON

Id Subject Object Predicate Lexical cue fma_id
T1 8169-8172 Body_part denotes HIV http://purl.org/sig/ont/fma/fma278683
T2 8223-8226 Body_part denotes HIV http://purl.org/sig/ont/fma/fma278683

LitCovid-PD-UBERON

Id Subject Object Predicate Lexical cue uberon_id
T1 6176-6182 Body_part denotes organs http://purl.obolibrary.org/obo/UBERON_0000062

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T1 123-131 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T2 315-318 Disease denotes MSF http://purl.obolibrary.org/obo/MONDO_0010944
T3 420-428 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T4 827-835 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T5 1535-1543 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T6 1704-1713 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T7 2237-2245 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T8 3349-3359 Disease denotes infectious http://purl.obolibrary.org/obo/MONDO_0005550
T9 4469-4475 Disease denotes Cancer http://purl.obolibrary.org/obo/MONDO_0004992
T10 4563-4569 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T11 4810-4816 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T12 4984-4990 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T13 4999-5005 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T14 5019-5025 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T15 5260-5266 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T16 5431-5437 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T17 6147-6153 Disease denotes injury http://purl.obolibrary.org/obo/MONDO_0021178
T18 8145-8161 Disease denotes immunodeficiency http://purl.obolibrary.org/obo/MONDO_0021094
T19 8175-8187 Disease denotes tuberculosis http://purl.obolibrary.org/obo/MONDO_0018076
T20 8192-8199 Disease denotes malaria http://purl.obolibrary.org/obo/MONDO_0005136
T21 8228-8240 Disease denotes tuberculosis http://purl.obolibrary.org/obo/MONDO_0018076
T22 8245-8252 Disease denotes malaria http://purl.obolibrary.org/obo/MONDO_0005136

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T1 109-110 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T2 161-162 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T3 363-364 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T4 430-435 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T5 605-615 http://purl.obolibrary.org/obo/CLO_0001658 denotes activities
T6 661-674 http://purl.obolibrary.org/obo/OBI_0000245 denotes organizations
T7 712-724 http://purl.obolibrary.org/obo/OBI_0000245 denotes Organization
T8 876-886 http://purl.obolibrary.org/obo/BFO_0000030 denotes objectives
T9 912-917 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes human
T10 921-926 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes human
T11 947-952 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T12 1094-1099 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T13 1112-1118 http://purl.obolibrary.org/obo/NCBITaxon_33208 denotes animal
T14 1198-1207 http://purl.obolibrary.org/obo/CLO_0001658 denotes activated
T15 1208-1209 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T16 1342-1345 http://purl.obolibrary.org/obo/CLO_0008693 denotes R&D
T17 1342-1345 http://purl.obolibrary.org/obo/CLO_0008770 denotes R&D
T18 1357-1358 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T19 1410-1420 http://purl.obolibrary.org/obo/CLO_0001658 denotes activities
T20 1443-1446 http://purl.obolibrary.org/obo/CLO_0008693 denotes R&D
T21 1443-1446 http://purl.obolibrary.org/obo/CLO_0008770 denotes R&D
T22 1495-1496 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T23 1558-1559 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T24 1592-1594 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11
T25 1838-1839 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T26 1954-1956 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11
T27 2024-2029 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T28 2247-2248 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T29 2393-2396 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T30 2457-2458 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T31 2512-2514 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11
T32 2525-2526 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T33 2584-2587 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T34 3220-3221 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T35 3284-3287 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T36 3370-3373 http://purl.obolibrary.org/obo/CLO_0001562 denotes A 2
T37 3370-3373 http://purl.obolibrary.org/obo/CLO_0001563 denotes A 2
T38 3409-3412 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T39 3470-3476 http://purl.obolibrary.org/obo/NCBITaxon_9005 denotes Turkey
T40 3712-3724 http://purl.obolibrary.org/obo/PR_000001898 denotes called for a
T41 3920-3921 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T42 4019-4022 http://purl.obolibrary.org/obo/PR_000001343 denotes aim
T43 4306-4307 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T44 4545-4546 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T45 5384-5385 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T46 5468-5482 http://purl.obolibrary.org/obo/UBERON_0000474 denotes Female genital
T47 5514-5515 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T48 5516-5530 http://purl.obolibrary.org/obo/UBERON_0000474 denotes female genital
T49 5891-5893 http://purl.obolibrary.org/obo/CLO_0050509 denotes 27
T50 6065-6070 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes human
T51 6161-6175 http://purl.obolibrary.org/obo/UBERON_0000474 denotes female genital
T52 6176-6182 http://purl.obolibrary.org/obo/UBERON_0003103 denotes organs
T53 6211-6218 http://www.ebi.ac.uk/efo/EFO_0000876 denotes extreme
T54 6286-6287 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T55 6305-6310 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes human
T56 6951-6952 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T57 7188-7191 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T58 7622-7623 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T59 7965-7966 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T60 7998-8002 http://purl.obolibrary.org/obo/CLO_0001185 denotes 2018
T61 8139-8144 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes human
T62 8162-8167 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T63 8497-8502 http://purl.obolibrary.org/obo/CLO_0053799 denotes 4 – 5
T64 8545-8552 http://www.ebi.ac.uk/efo/EFO_0000881 denotes Digital
T65 8616-8618 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11

LitCovid-PD-CHEBI

Id Subject Object Predicate Lexical cue chebi_id
T1 3400-3408 Chemical denotes medicine http://purl.obolibrary.org/obo/CHEBI_23888
T2 3922-3928 Chemical denotes formal http://purl.obolibrary.org/obo/CHEBI_48341
T3 8633-8640 Chemical denotes Alcohol http://purl.obolibrary.org/obo/CHEBI_30879

LitCovid-PD-GO-BP

Id Subject Object Predicate Lexical cue
T1 6537-6543 http://purl.obolibrary.org/obo/GO_0040007 denotes growth

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T1 0-22 Sentence denotes Public health round-up
T2 24-74 Sentence denotes International response to new coronavirus outbreak
T3 75-314 Sentence denotes Hong Kong street cleaners receive a briefing on COVID-19 symptoms and prevention from a Médecins sans Frontières educator as part of the international response to the outbreak of the new coronavirus which began in Wuhan, China in December.
T4 315-334 Sentence denotes MSF/Shuk Lim Cheung
T5 336-362 Sentence denotes Novel coronavirus response
T6 363-543 Sentence denotes A plan to prevent further spread of the new coronavirus (COVID-19) virus and to protect states with weaker health systems was launched by the international community on 5 February.
T7 544-871 Sentence denotes The Strategic Preparedness and Response Plan (SPRP) sets out activities and resources needed by international health organizations globally, including the World Health Organization (WHO), to implement priority public health measures in support of countries to prepare and respond to COVID-19 for the period February-April 2020.
T8 872-1176 Sentence denotes The objectives of the plan are to limit human-to-human transmission of the virus, identify, isolate and care for patients early, communicate critical risk and event information, minimize social and economic impact, reduce virus spread from animal sources, and accelerate priority research and innovation.
T9 1177-1309 Sentence denotes In early January WHO activated a team to coordinate and facilitate information-sharing on research elements needed for the response.
T10 1310-1438 Sentence denotes The team will implement the WHO R&D Blueprint, a strategy for accelerating research and development activities during epidemics.
T11 1439-1544 Sentence denotes The R&D Blueprint includes scenarios for “pathogen x” – a previously unknown pathogen – such as COVID-19.
T12 1545-1771 Sentence denotes WHO convened a meeting of experts in Geneva on 11 and 12 February to set research and development priorities for coronavirus treatment, diagnostics, vaccines, infection prevention and community measures to combat the outbreak.
T13 1772-1881 Sentence denotes The total estimated resources required to implement the SPRP over a three months period is USD 675.5 million.
T14 1882-1947 Sentence denotes The outbreak was first declared in Wuhan, China in December 2019.
T15 1948-2052 Sentence denotes As of 11 February, 43 101 people had been confirmed to be infected with the virus of whom 1018 had died.
T16 2053-2122 Sentence denotes To date, most reported cases (42 708) and deaths (1017) are in China.
T17 2123-2312 Sentence denotes Following the advice of the Emergency Committee, WHO Director-General declared the outbreak of novel coronavirus (COVID-19) a Public Health Emergency of International Concern on 30 January.
T18 2313-2334 Sentence denotes http://bit.ly/2SxBMyr
T19 2336-2364 Sentence denotes Syrian hostilities intensify
T20 2365-2505 Sentence denotes Fighting in northwest Syria has intensified since the beginning of the year, giving rise to a massive movement of people within the country.
T21 2506-2570 Sentence denotes As of 11 February, a total of 689 000 people had been displaced.
T22 2571-2705 Sentence denotes The fighting has also led to the closure of more than 70 health facilities, leaving the population with limited access to health care.
T23 2706-2829 Sentence denotes So far in 2020, three separate attacks on health care services have been verified, all in the northwest, causing 10 deaths.
T24 2830-3119 Sentence denotes “To fill the gap created by closed health facilities, we are revising our referral network, trying to sustain stocks of medicines for those with non-communicable diseases and supporting the relocation of some of the health facilities,” said Rick Brennan, WHO’s regional emergency director.
T25 3120-3219 Sentence denotes WHO is also increasing the number of mobile clinics that can follow the movements of the displaced.
T26 3220-3369 Sentence denotes A fragile immunization network put in place by WHO and partners has also been disrupted, increasing the population’s exposure to infectious diseases.
T27 3370-3543 Sentence denotes A 2-month supply of essential medicine has been prepositioned on either side of Syria’s border with Turkey, but there is concern that demand will be far greater than supply.
T28 3544-3708 Sentence denotes “What is striking about this escalation is that the enormous humanitarian needs are being largely ignored by the international media and governments,” Brennan said.
T29 3709-3779 Sentence denotes He called for a renewed international commitment to ending the crisis.
T30 3780-3801 Sentence denotes http://bit.ly/2SeqSib
T31 3803-3841 Sentence denotes Collaboration on essential diagnostics
T32 3842-3988 Sentence denotes WHO and the Foundation for Innovative New Diagnostics (FIND) have established a formal collaboration on universal access to essential diagnostics.
T33 3989-4212 Sentence denotes Announced on 10 February, the aim of the collaboration is to close diagnostic gaps at country level and bolster disease surveillance that will inform public health initiatives and enhance outbreak preparedness and response.
T34 4213-4353 Sentence denotes Accurate and timely diagnosis is critical to achieving universal health coverage, but can be a weak link in the delivery of health services.
T35 4354-4445 Sentence denotes This is especially true in primary healthcare settings in low- and middle-income countries.
T36 4446-4467 Sentence denotes http://bit.ly/3bqCFS5
T37 4469-4497 Sentence denotes Cancer incidence set to rise
T38 4498-4602 Sentence denotes If current trends continue, the world will see a 60% increase in cancer cases over the next two decades.
T39 4603-4747 Sentence denotes The greatest increase (an estimated 81%) in new cases will occur in low- and middle-income countries, where survival rates are currently lowest.
T40 4748-5037 Sentence denotes These sobering predictions are presented in the WHO report on cancer: setting priorities, investing wisely and providing care for all, which was published on 4 February along with the International Agency for Research on Cancer’s World cancer report: cancer research for cancer prevention.
T41 5038-5160 Sentence denotes According to the WHO report the increase is largely due to lack of health services to prevent, diagnose and treat cancers.
T42 5161-5361 Sentence denotes In 2019, more than 90% of high-income countries reported that comprehensive treatment services for cancer were available in the public health system, compared to less than 15% of low-income countries.
T43 5362-5444 Sentence denotes The report highlights a range of proven interventions to prevent new cancer cases.
T44 5445-5466 Sentence denotes http://bit.ly/2SiEJCV
T45 5468-5500 Sentence denotes Female genital mutilation’s cost
T46 5501-5757 Sentence denotes WHO launched a female genital mutilation (FGM) cost calculator, which combines data on health risk associated with FGM, health costs and national FGM prevalence to analyze the economic impact on national health services of treating the consequences of FGM.
T47 5758-5866 Sentence denotes The FGM Cost Calculator was launched on 6 February, this year’s International Day of Zero Tolerance for FGM.
T48 5867-6088 Sentence denotes The data, available for 27 of the 30 countries where FGM is practiced, will strengthen the economic argument of community activists, policy makers, programme planners and donors working to end this human rights violation.
T49 6089-6207 Sentence denotes FGM includes procedures that intentionally alter or cause injury to the female genital organs for non-medical reasons.
T50 6208-6482 Sentence denotes An extreme form of gender discrimination, it is recognized internationally as a violation of the human rights of girls and women, including the right to health, security and physical integrity, and the right to be free from torture and cruel, inhuman or degrading treatment.
T51 6483-6640 Sentence denotes Rates of FGM are declining, but because of population growth, the number of girls and women mutilated is forecast to rise significantly in the next 15 years.
T52 6641-6834 Sentence denotes An estimated 200 million girls and women are living with the effects of genital mutilation, most of whom live in 30 countries in the African, Eastern Mediterranean and South-East Asian Regions.
T53 6835-6856 Sentence denotes http://bit.ly/2SllEzW
T54 6858-6889 Sentence denotes WHO appoints Regional Directors
T55 6890-7051 Sentence denotes The WHO Executive Board re-appointed Dr Matshidiso Moeti for a second term as WHO Regional Director for Africa and Dr Hans Kluge as Regional Director for Europe.
T56 7052-7178 Sentence denotes Dr Moeti was first elected as WHO Regional Director for Africa on 1 February 2015 and is the first woman to hold the position.
T57 7179-7331 Sentence denotes Dr Kluge has over 25 years of experience in public health and was previously Director of the Division of Health Systems and Public Health at WHO/Europe.
T58 7332-7505 Sentence denotes The Executive Board met at WHO headquarters in Geneva between 3-8 February 2020 to agree on the agenda and resolutions to be considered at this year’s World Health Assembly.
T59 7506-7527 Sentence denotes http://bit.ly/2Sgh7yK
T60 7528-7539 Sentence denotes Cover photo
T61 7540-7560 Sentence denotes Instructor Joseph K.
T62 7561-7687 Sentence denotes Mwangi watches as student Stanley Simwa practices delivering a baby in the Kenya Medical Training College Skills Lab, Nairobi.
T63 7688-7744 Sentence denotes 2020 is the International Year of the Nurse and Midwife.
T64 7745-7845 Sentence denotes Nine million more nurses and midwives are needed to make progress towards universal health coverage.
T65 7846-7849 Sentence denotes WHO
T66 7851-7881 Sentence denotes Funding for neglected diseases
T67 7882-8200 Sentence denotes Global funding for research and product development for neglected diseases reached a record high of $4.0 billion in 2018 according to the 2019 G-FINDER survey, which reports on global investment in research and development for neglected diseases, including human immunodeficiency virus (HIV), tuberculosis and malaria.
T68 8201-8385 Sentence denotes As in previous years, HIV, tuberculosis and malaria collectively received more than two thirds ($2.8 billion, 69%) of all global funding for neglected disease research and development.
T69 8386-8407 Sentence denotes http://go.aws/2ugoFtw
T70 8408-8421 Sentence denotes Looking ahead
T71 8422-8434 Sentence denotes 2 – 6 March.
T72 8435-8496 Sentence denotes United Nations Commission on Narcotic Drugs, Vienna, Austria.
T73 8497-8509 Sentence denotes 4 – 5 March.
T74 8510-8612 Sentence denotes The WHO Symposium on the Future of Digital Health Systems in the European Region, Copenhagen, Denmark.
T75 8613-8625 Sentence denotes 9 –11 March.
T76 8626-8676 Sentence denotes Global Alcohol Policy Conference, Dublin, Ireland.

LitCovid-PD-HP

Id Subject Object Predicate Lexical cue hp_id
T1 4469-4475 Phenotype denotes Cancer http://purl.obolibrary.org/obo/HP_0002664
T2 4563-4569 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T3 4810-4816 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T4 4984-4990 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T5 4999-5005 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T6 5019-5025 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T7 5260-5266 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T8 5431-5437 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T9 8145-8161 Phenotype denotes immunodeficiency http://purl.obolibrary.org/obo/HP_0002721