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LitCovid-PMC-OGER-BB

Id Subject Object Predicate Lexical cue
T166 78-89 NCBITaxon:11118 denotes coronavirus
T165 91-99 SP_7 denotes COVID-19
T164 212-257 SP_10 denotes Severe Acute Respiratory Syndrome Coronavirus
T163 259-267 SP_10 denotes SARS-CoV
T162 491-499 SP_7 denotes COVID-19
T161 530-534 SP_10 denotes SARS
T160 543-587 SP_9 denotes Middle East Respiratory Syndrome Coronavirus
T159 589-597 SP_9 denotes MERS-CoV
T158 637-645 SP_10 denotes SARS-CoV
T157 685-689 NCBITaxon:9685 denotes cats
T156 709-715 NCBITaxon:33208 denotes animal
T155 761-769 SP_7 denotes COVID-19
T154 789-795 NCBITaxon:8570 denotes snakes
T153 797-801 SP_2;NCBITaxon:8342 denotes bats
T152 806-815 SP_1 denotes pangolins
T151 944-951 NCBITaxon:33208 denotes animals
T150 1046-1051 NCBITaxon:10239 denotes viral
T149 1056-1065 NCBITaxon:2 denotes bacterial
T148 1093-1098 UBERON:0001088 denotes urine
T147 1100-1105 UBERON:0001988 denotes feces
T146 1107-1112 UBERON:0000178 denotes blood
T145 1150-1157 NCBITaxon:33208 denotes animals
T144 1296-1304 SP_7 denotes COVID-19
T143 1346-1354 SP_7 denotes COVID-19
T142 1429-1441 GO:0065007 denotes surveillance
T141 1481-1489 SP_10 denotes SARS-CoV
T140 1757-1765 SP_10 denotes SARS-CoV
T139 1889-1897 SP_7 denotes COVID-19
T138 1915-1923 SP_7 denotes COVID-19
T137 2064-2070 NCBITaxon:9606 denotes people
T136 2087-2095 SP_7 denotes COVID-19
T135 2283-2289 NCBITaxon:9606 denotes people
T134 2385-2391 NCBITaxon:9606 denotes people
T133 2603-2611 SP_7 denotes COVID-19
T132 2731-2739 SP_7 denotes COVID-19
T131 2871-2877 GO:0016265 denotes deaths
T130 2918-2924 GO:0016265 denotes deaths
T129 3080-3086 NCBITaxon:9606 denotes people
T128 3106-3114 SP_7 denotes COVID-19
T127 3220-3226 NCBITaxon:9606 denotes person
T126 3230-3236 NCBITaxon:9606 denotes person
T125 3296-3304 SP_7 denotes COVID-19
T124 3456-3463 GO:0065007 denotes control
T123 3489-3497 SP_7 denotes COVID-19
T122 3609-3616 NCBITaxon:1 denotes persons
T121 3655-3663 SP_7 denotes COVID-19
T120 3826-3834 SP_7 denotes COVID-19
T119 3894-3898 GO:0016265 denotes died
T118 3908-3913 NCBITaxon:10239 denotes virus
T117 3969-3973 CL:0002559 denotes care
T116 4063-4071 SP_7 denotes COVID-19
T115 4281-4285 NCBITaxon:7955 denotes Zika
T114 4286-4291 NCBITaxon:10239 denotes virus
T113 4367-4371 GO:0007567 denotes born
T112 4665-4669 GO:0007567 denotes born
T111 5142-5152 NCBITaxon:10376 denotes Ebolavirus
T110 5261-5271 NCBITaxon:10376 denotes Ebolavirus
T109 5294-5305 NCBITaxon:11118 denotes coronavirus
T108 5366-5371 SP_6;NCBITaxon:9606 denotes human
T107 5375-5380 SP_6;NCBITaxon:9606 denotes human
T106 5538-5550 GO:0000003 denotes reproductive
T105 5564-5572 SP_7 denotes COVID-19
T104 5617-5622 NCBITaxon:10239 denotes virus
T103 5647-5655 SP_9 denotes MERS-CoV
T102 5660-5668 SP_10 denotes SARS-CoV
T101 5717-5725 SP_9 denotes MERS-CoV
T100 5730-5738 SP_10 denotes SARS-CoV
T99 5839-5847 SP_10 denotes SARS-CoV
T98 5913-5917 SP_10 denotes SARS
T97 5964-5972 SP_9 denotes MERS-CoV
T96 6047-6055 SP_9 denotes MERS-CoV
T95 6067-6075 SP_7 denotes COVID-19
T94 6457-6464 NCBITaxon:1 denotes persons
T93 6477-6485 SP_7 denotes COVID-19
T92 6529-6537 SP_7 denotes COVID-19
T91 6622-6628 NCBITaxon:9606 denotes people
T90 6687-6695 SP_7 denotes COVID-19
T89 6889-6901 GO:0065007 denotes surveillance
T88 6939-6952 BV_19 denotes pathogenicity
T87 6977-6985 SP_7 denotes COVID-19
T86 7114-7120 NCBITaxon:33208 denotes Animal
T85 7378-7387 SP_7 denotes 2019-nCoV
T84 7389-7397 SP_7 denotes COVID-19
T83 7444-7452 SP_7 denotes COVID-19
T82 7818-7826 SP_7 denotes COVID-19
T3 16-25 SP_7 denotes 2019-nCoV
T4 4-15 NCBITaxon:11118 denotes coronavirus

LitCovid-PD-FMA-UBERON

Id Subject Object Predicate Lexical cue fma_id
T1 1093-1098 Body_part denotes urine http://purl.org/sig/ont/fma/fma12274
T2 1100-1105 Body_part denotes feces http://purl.org/sig/ont/fma/fma64183
T3 1107-1112 Body_part denotes blood http://purl.org/sig/ont/fma/fma9670
T4 4358-4366 Body_part denotes neonates http://purl.org/sig/ont/fma/fma292381
T5 7944-7952 Body_part denotes Appendix http://purl.org/sig/ont/fma/fma14542

LitCovid-PD-UBERON

Id Subject Object Predicate Lexical cue uberon_id
T1 1093-1098 Body_part denotes urine http://purl.obolibrary.org/obo/UBERON_0001088
T2 1100-1105 Body_part denotes feces http://purl.obolibrary.org/obo/UBERON_0001988
T3 1107-1112 Body_part denotes blood http://purl.obolibrary.org/obo/UBERON_0000178
T4 2167-2172 Body_part denotes scale http://purl.obolibrary.org/obo/UBERON_0002542
T5 7453-7458 Body_part denotes scale http://purl.obolibrary.org/obo/UBERON_0002542

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T1 91-99 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T2 212-245 Disease denotes Severe Acute Respiratory Syndrome http://purl.obolibrary.org/obo/MONDO_0005091
T3 259-267 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T4 491-499 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T5 530-534 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T6 612-631 Disease denotes zoonotic infections http://purl.obolibrary.org/obo/MONDO_0025481
T7 637-645 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T8 761-769 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T9 1274-1284 Disease denotes infections http://purl.obolibrary.org/obo/MONDO_0005550
T10 1296-1304 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T11 1346-1354 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T12 1481-1489 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T13 1611-1621 Disease denotes infectious http://purl.obolibrary.org/obo/MONDO_0005550
T14 1757-1765 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T15 1889-1897 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T16 1915-1923 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T17 2087-2095 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T18 2603-2611 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T19 2731-2739 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T20 2844-2854 Disease denotes infections http://purl.obolibrary.org/obo/MONDO_0005550
T21 3106-3114 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T22 3296-3304 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T23 3431-3440 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T24 3489-3497 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T25 3655-3663 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T26 3826-3834 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T27 4063-4071 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T28 4218-4222 Disease denotes Zika http://purl.obolibrary.org/obo/MONDO_0018661
T29 4281-4285 Disease denotes Zika http://purl.obolibrary.org/obo/MONDO_0018661
T30 4377-4389 Disease denotes microcephaly http://purl.obolibrary.org/obo/MONDO_0001149
T31 4540-4544 Disease denotes Zika http://purl.obolibrary.org/obo/MONDO_0018661
T32 4686-4690 Disease denotes Zika http://purl.obolibrary.org/obo/MONDO_0018661
T33 5404-5409 Disease denotes Ebola http://purl.obolibrary.org/obo/MONDO_0005737
T34 5564-5572 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T35 5660-5668 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T36 5730-5738 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T37 5839-5847 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T38 5913-5917 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T39 6067-6075 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T40 6259-6277 Disease denotes infectious disease http://purl.obolibrary.org/obo/MONDO_0005550
T41 6477-6485 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T42 6529-6537 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T43 6687-6695 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T44 6977-6985 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T45 7389-7397 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T46 7444-7452 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T47 7818-7826 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T1 709-715 http://purl.obolibrary.org/obo/NCBITaxon_33208 denotes animal
T2 770-773 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T3 797-801 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes bats
T4 929-933 http://purl.obolibrary.org/obo/PR_000001318 denotes sell
T5 944-951 http://purl.obolibrary.org/obo/NCBITaxon_33208 denotes animals
T6 1107-1112 http://purl.obolibrary.org/obo/UBERON_0000178 denotes blood
T7 1107-1112 http://www.ebi.ac.uk/efo/EFO_0000296 denotes blood
T8 1150-1157 http://purl.obolibrary.org/obo/NCBITaxon_33208 denotes animals
T9 1257-1258 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T10 1993-1994 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T11 2030-2031 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T12 2053-2055 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11
T13 2988-2989 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T14 3268-3280 http://purl.obolibrary.org/obo/OBI_0000245 denotes Organization
T15 3305-3306 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T16 3711-3713 http://purl.obolibrary.org/obo/CLO_0001022 denotes Li
T17 3711-3713 http://purl.obolibrary.org/obo/CLO_0007314 denotes Li
T18 3724-3725 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T19 3908-3913 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T20 4286-4291 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T21 4324-4325 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T22 4428-4429 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T23 5004-5005 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T24 5085-5086 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T25 5124-5125 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T26 5320-5321 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T27 5366-5371 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes human
T28 5375-5380 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes human
T29 5463-5466 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T30 5467-5468 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T31 5617-5622 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T32 5698-5700 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11
T33 6089-6090 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T34 6224-6225 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T35 6863-6864 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T36 7114-7120 http://purl.obolibrary.org/obo/NCBITaxon_33208 denotes Animal
T37 7471-7472 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T38 7620-7621 http://purl.obolibrary.org/obo/CLO_0001020 denotes a

LitCovid-PD-CHEBI

Id Subject Object Predicate Lexical cue chebi_id
T1 3711-3713 Chemical denotes Li http://purl.obolibrary.org/obo/CHEBI_30145

LitCovid-PD-GO-BP

Id Subject Object Predicate Lexical cue
T1 2001-2010 http://purl.obolibrary.org/obo/GO_0006810 denotes transport

LitCovid-PD-HP

Id Subject Object Predicate Lexical cue hp_id
T1 2837-2854 Phenotype denotes severe infections http://purl.obolibrary.org/obo/HP_0032169
T2 4377-4389 Phenotype denotes microcephaly http://purl.obolibrary.org/obo/HP_0000252

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T1 0-35 Sentence denotes The coronavirus 2019-nCoV epidemic:
T2 36-55 Sentence denotes Is hindsight 20/20?
T3 57-157 Sentence denotes The newly identified coronavirus, COVID-19, was first reported in Wuhan, China on December 31, 2019.
T4 158-282 Sentence denotes In one month, reported cases outnumber those from the Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV) epidemic [1].
T5 283-364 Sentence denotes Public health experts are working to better understand and address this epidemic.
T6 365-486 Sentence denotes Herein, we briefly discuss key cultural, policy and epidemiological aspects that might have contributed to this scenario.
T7 487-632 Sentence denotes The COVID-19 belongs to the same family as SARS and the Middle East Respiratory Syndrome Coronavirus (MERS-CoV), and all are zoonotic infections.
T8 633-820 Sentence denotes The SARS-CoV 2002–03 epidemic originated from civet cats, sold in live wild animal markets – similar to the one in Wuhan, where COVID-19 has been linked to snakes, bats and pangolins [2].
T9 821-1162 Sentence denotes Those so-called ‘wet markets’ are common in parts of Asia, Africa, South America and Oceania and frequently sell live wild animals– making it difficult to ensure meat safety. ‘Wet markets’ provide the perfect environment for viral and bacterial transmission from infected urine, feces, blood and other biofluids from slaughtered animals [3].
T10 1163-1305 Sentence denotes In addition, their hygienic practices tend to be sub-optimal, contributing to transmission of a broad range of infections, including COVID-19.
T11 1306-1469 Sentence denotes Another aspect that may have influenced COVID-19 rapid spread is China's highly centralized, hierarchical and bureaucratic surveillance and health response system.
T12 1470-1727 Sentence denotes During the SARS-CoV epidemic (over 8300 cases in 26 countries), the government initially withheld information from the public and obstructed infectious diseases experts’ efforts to investigate and report outbreaks, which ultimately delayed the response [4].
T13 1728-1898 Sentence denotes Almost two decades after the SARS-CoV epidemic, China's political system and pattern of crisis management may have jeopardized the country's initial response to COVID-19.
T14 1899-1983 Sentence denotes Rapid spread of COVID-19 is also influenced by high population density and mobility.
T15 1984-2071 Sentence denotes Wuhan is a major transport hub in China, with a population exceeding 11 million people.
T16 2072-2327 Sentence denotes In response to COVID-19, the Chinese government restricted ‘unnecessary or non-essential large-scale public gatherings’ in late January, 2020, in anticipation of domestic and international travel of millions of people for the Chinese New Year celebration.
T17 2328-2457 Sentence denotes Nearly half of China's population (more than 750 million people) are currently living under various forms of travel restrictions.
T18 2458-2563 Sentence denotes Several countries have evacuated their nationals from Wuhan and many airlines suspended flights to China.
T19 2564-2654 Sentence denotes Thousands cruise ship passengers where COVID-19 cases were confirmed are been quarantined.
T20 2655-2813 Sentence denotes While these measures may have curtailed transmission, by February 19, 2020, COVID-19 was reported in roughly 30 countries, with almost 75,000 confirmed cases.
T21 2814-2903 Sentence denotes Thousands patients had severe infections, and over 2,100 deaths were reported so far [5].
T22 2904-2987 Sentence denotes Dozens of new deaths and thousands of new cases are still being reported every day.
T23 2988-3133 Sentence denotes A recent mathematical modeling estimated that, by the end of January 2020, more than 75,000 people were infected with COVID-19 only in Wuhan [1].
T24 3134-3250 Sentence denotes Notably, cases have occurred in patients who had not traveled to Wuhan, indicative of person-to-person transmission.
T25 3251-3388 Sentence denotes The World Health Organization (WHO) declared COVID-19 a Public Health Emergency of International Concern (PHEIC) on January 30, 2020 [5].
T26 3389-3512 Sentence denotes Substandard implementation of appropriate infection prevention and control measures could influence COVID-19 global spread.
T27 3513-3664 Sentence denotes These include early recognition, source control and additional precautions at point-of-care for persons under investigation or with confirmed COVID-19.
T28 3665-3945 Sentence denotes Healthcare workers are at increased risk; Dr. Li Wenliang, a Chinese ophthalmologist at Wuhan Central Hospital who was one of the first to warn the public about COVID-19 on 30 December 2019 (and was later detained for doing so), died from the virus at aged 33 on February 7, 2020.
T29 3946-4027 Sentence denotes More than 1,700 health care workers have been infected so far, with 6 fatalities.
T30 4028-4096 Sentence denotes The myriad factors influencing the COVID-19 pandemic are not unique.
T31 4097-4236 Sentence denotes High population density, unsanitary conditions and an inadequate health care infrastructure were also at the core of the Zika epidemic [6].
T32 4237-4390 Sentence denotes Brazil reported the first confirmed case of Zika virus (ZIKV) in May 2015, followed by a sharp increase in the number of neonates born with microcephaly.
T33 4391-4516 Sentence denotes The government quickly declared ZIKV a national public health emergency in November 2015, followed by WHO three months later.
T34 4517-4637 Sentence denotes However, the Brazilian Zika emergency protocol did not mention or authorize legal abortion, despite WHO recommendations.
T35 4638-4710 Sentence denotes More than 2700 babies were born with congenital Zika syndrome in Brazil.
T36 4711-4870 Sentence denotes Systemic problems continue to affect disenfranchised and densely populated communities in Brazil that remain at risk of emerging or reemerging arboviruses [6].
T37 4871-5030 Sentence denotes If another ZIKV outbreak occurs, young Brazilian women still cannot access safe abortion and might need to provide lifelong care for a severely disabled child.
T38 5031-5260 Sentence denotes Crowding, poverty, lack of basic health services, and a highly mobile population also played a key role in the Ebolavirus outbreak in West Africa from 2014 to 2016 and the ongoing outbreak in the Democratic Republic of the Congo.
T39 5261-5394 Sentence denotes Ebolavirus outbreaks, like novel coronavirus outbreaks are a result of zoonotic spillover and subsequent human-to-human transmission.
T40 5395-5519 Sentence denotes However, Ebola differs in mode of transmission (direct contact) and has a much higher case fatality rate (CFR; 50%–80%) [7].
T41 5520-5590 Sentence denotes The CFR and basic reproductive rate (Ro) of COVID-19 is still unknown.
T42 5591-5716 Sentence denotes Some experts contend this virus is less pathogenic than MERS-CoV and SARS-CoV, which had CFRs of 34.4% and 11%, respectively.
T43 5717-5814 Sentence denotes MERS-CoV and SARS-CoV were associated with high levels of nonsocomial transmissions in hospitals.
T44 5815-5935 Sentence denotes One single patient with SARS-CoV who traveled from Hong Kong to Canada resulted in 128 additional SARS cases in Toronto.
T45 5936-6066 Sentence denotes Similarly, one patient with MERS-CoV transferred from Saudi Arabia to South Korea was linked to 186 additional MERS-CoV cases [8].
T46 6067-6108 Sentence denotes COVID-19 could foster a similar scenario.
T47 6109-6246 Sentence denotes In global public health systems struggling with sub-optimal resources and inadequate infrastructure, this could be a recipe for disaster.
T48 6247-6355 Sentence denotes As with any infectious disease emergency, public health officials need also to address the epidemic of fear.
T49 6356-6524 Sentence denotes Inappropriate prevention and treatment strategies such as herbal remedies and exaggerated numbers of persons affected by COVID-19 cases have circulated on social media.
T50 6525-6646 Sentence denotes The COVID-19 pandemic, rapid spread and magnitude unleashed panic and episodes of racism against people of Asian descent.
T51 6647-6853 Sentence denotes Efforts to address this scenario in the COVID-19 and future epidemics need to consider traditional and social media communication, among other sources of information to curtail misinformation and prejudice.
T52 6854-6997 Sentence denotes To avoid a global pandemic, timely surveillance, epidemiologic information about the pathogenicity and transmissibility of COVID-19 are needed.
T53 6998-7113 Sentence denotes Healthcare workers should be adequately trained to identify, notify local authorities and provide appropriate care.
T54 7114-7238 Sentence denotes Animal markets, specifically ‘wet markets’ should be closely monitored and meat safety ensured by public health authorities.
T55 7239-7536 Sentence denotes According to Munster et al. [8] “If we are proactive (…) perhaps we will never have to discover the true epidemic or pandemic potential of 2019-nCoV [COVID-19].” Unfortunately, as of February 6, 2020, the COVID-19 scale constitutes a pandemic and China's delayed response influenced this scenario.
T56 7537-7664 Sentence denotes Ma Guoqiang, municipal Communist Party secretary for Wuhan, said "Right now I'm in a state of guilt, remorse and self-reproach.
T57 7665-7874 Sentence denotes If strict control measures had been taken earlier, the result would have been better than now" [9] During the first reports from the Chinese government, COVID-19 was referred as “preventable and controllable”.
T58 7875-7901 Sentence denotes At present, it is neither.
T59 7903-7936 Sentence denotes Declaration of competing interest
T60 7937-7942 Sentence denotes None.
T61 7944-8101 Sentence denotes Appendix Supplementary materials Supplementary material associated with this article can be found in the online version at doi:10.1016/j.eclinm.2020.100289.

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
2 36-54 Gene denotes Is hindsight 20/20
3 4-25 Species denotes coronavirus 2019-nCoV Tax:2697049
8 78-89 Species denotes coronavirus Tax:11118
9 212-257 Species denotes Severe Acute Respiratory Syndrome Coronavirus Tax:694009
10 259-267 Species denotes SARS-CoV Tax:694009
11 91-99 Disease denotes COVID-19 MESH:C000657245
21 543-598 Species denotes Middle East Respiratory Syndrome Coronavirus (MERS-CoV) Tax:1335626
22 637-645 Species denotes SARS-CoV Tax:694009
23 685-689 Species denotes cats Tax:9685
24 491-499 Disease denotes COVID-19 MESH:C000657245
25 612-631 Disease denotes zoonotic infections MESH:D015047
26 761-769 Disease denotes COVID-19 MESH:C000657245
27 1084-1092 Disease denotes infected MESH:D007239
28 1274-1284 Disease denotes infections MESH:D007239
29 1296-1304 Disease denotes COVID-19 MESH:C000657245
35 1481-1489 Species denotes SARS-CoV Tax:694009
36 1757-1765 Species denotes SARS-CoV Tax:694009
37 1346-1354 Disease denotes COVID-19 MESH:C000657245
38 1611-1630 Disease denotes infectious diseases MESH:D003141
39 1889-1897 Disease denotes COVID-19 MESH:C000657245
56 2064-2070 Species denotes people Tax:9606
57 2283-2289 Species denotes people Tax:9606
58 2385-2391 Species denotes people Tax:9606
59 2824-2832 Species denotes patients Tax:9606
60 3080-3086 Species denotes people Tax:9606
61 3166-3174 Species denotes patients Tax:9606
62 1915-1923 Disease denotes COVID-19 MESH:C000657245
63 2087-2095 Disease denotes COVID-19 MESH:C000657245
64 2603-2611 Disease denotes COVID-19 MESH:C000657245
65 2731-2739 Disease denotes COVID-19 MESH:C000657245
66 2844-2854 Disease denotes infections MESH:D007239
67 2871-2877 Disease denotes deaths MESH:D003643
68 2918-2924 Disease denotes deaths MESH:D003643
69 3092-3100 Disease denotes infected MESH:D007239
70 3106-3114 Disease denotes COVID-19 MESH:C000657245
71 3296-3304 Disease denotes COVID-19 MESH:C000657245
78 3609-3616 Species denotes persons Tax:9606
79 3431-3440 Disease denotes infection MESH:D007239
80 3489-3497 Disease denotes COVID-19 MESH:C000657245
81 3655-3663 Disease denotes COVID-19 MESH:C000657245
82 3826-3834 Disease denotes COVID-19 MESH:C000657245
83 3992-4000 Disease denotes infected MESH:D007239
94 4281-4291 Species denotes Zika virus Tax:64320
95 4293-4297 Species denotes ZIKV Tax:64320
96 4423-4427 Species denotes ZIKV Tax:64320
97 4882-4886 Species denotes ZIKV Tax:64320
98 4920-4925 Species denotes women Tax:9606
99 5024-5029 Species denotes child Tax:9606
100 4063-4071 Disease denotes COVID-19 MESH:C000657245
101 4377-4389 Disease denotes microcephaly MESH:D008831
102 4593-4607 Disease denotes legal abortion MESH:D001766
103 4675-4699 Disease denotes congenital Zika syndrome MESH:D000071243
109 5288-5305 Species denotes novel coronavirus Tax:2697049
110 5366-5371 Species denotes human Tax:9606
111 5375-5380 Species denotes human Tax:9606
112 5404-5409 Species denotes Ebola Tax:1570291
113 5332-5340 Disease denotes zoonotic MESH:D015047
125 5647-5655 Species denotes MERS-CoV Tax:1335626
126 5660-5668 Species denotes SARS-CoV Tax:694009
127 5717-5725 Species denotes MERS-CoV Tax:1335626
128 5730-5738 Species denotes SARS-CoV Tax:694009
129 5826-5833 Species denotes patient Tax:9606
130 5839-5847 Species denotes SARS-CoV Tax:694009
131 5951-5958 Species denotes patient Tax:9606
132 5964-5972 Species denotes MERS-CoV Tax:1335626
133 6047-6055 Species denotes MERS-CoV Tax:1335626
134 5564-5572 Disease denotes COVID-19 MESH:C000657245
135 6067-6075 Disease denotes COVID-19 MESH:C000657245
143 6457-6464 Species denotes persons Tax:9606
144 6622-6628 Species denotes people Tax:9606
145 6259-6277 Disease denotes infectious disease MESH:D003141
146 6477-6485 Disease denotes COVID-19 MESH:C000657245
147 6529-6537 Disease denotes COVID-19 MESH:C000657245
148 6687-6695 Disease denotes COVID-19 MESH:C000657245
149 6977-6985 Disease denotes COVID-19 MESH:C000657245
154 7378-7387 Species denotes 2019-nCoV Tax:2697049
155 7389-7397 Disease denotes COVID-19 MESH:C000657245
156 7444-7452 Disease denotes COVID-19 MESH:C000657245
157 7818-7826 Disease denotes COVID-19 MESH:C000657245