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LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
2 635-641 Species denotes person Tax:9606
3 581-590 Disease denotes infection MESH:D007239
6 659-665 Species denotes person Tax:9606
7 782-788 Species denotes person Tax:9606
11 1047-1053 Species denotes person Tax:9606
12 1003-1022 Disease denotes 2019-nCoV infection MESH:D007239
13 1036-1041 Disease denotes death MESH:D003643
15 1285-1301 Disease denotes infected persons MESH:D010554
17 1389-1397 Species denotes patients Tax:9606
20 1571-1574 Species denotes Men Tax:9606
21 1577-1606 Disease denotes tobacco epidemic turns corner MESH:D014029
26 1621-1624 Species denotes men Tax:9606
27 1631-1638 Species denotes tobacco Tax:4097
28 1744-1751 Species denotes tobacco Tax:4097
29 1824-1831 Species denotes tobacco Tax:4097
32 1896-1903 Species denotes tobacco Tax:4097
33 2027-2034 Species denotes tobacco Tax:4097
36 2082-2089 Species denotes tobacco Tax:4097
37 2125-2131 Species denotes people Tax:9606
43 2211-2218 Species denotes tobacco Tax:4097
44 2264-2269 Species denotes women Tax:9606
45 2298-2303 Species denotes women Tax:9606
46 2315-2322 Species denotes tobacco Tax:4097
47 2349-2354 Species denotes women Tax:9606
50 2405-2412 Species denotes tobacco Tax:4097
51 2564-2571 Species denotes tobacco Tax:4097
53 2634-2641 Species denotes tobacco Tax:4097
56 2873-2880 Species denotes tobacco Tax:4097
57 3022-3029 Species denotes tobacco Tax:4097
59 3505-3513 Species denotes children Tax:9606
61 3758-3766 Species denotes children Tax:9606
66 3904-3909 Species denotes child Tax:9606
67 4014-4019 Species denotes donor Tax:9606
68 3940-3945 Disease denotes death MESH:D003643
69 4073-4092 Disease denotes Dr Matshidiso Moeti
71 4216-4228 Disease denotes malnutrition MESH:D044342
73 4573-4581 Species denotes children Tax:9606
75 4682-4689 Disease denotes Obesity MESH:D009765
77 4813-4820 Disease denotes obesity MESH:D009765
80 5069-5076 Disease denotes obesity MESH:D009765
81 5105-5117 Disease denotes malnutrition MESH:D044342
86 5428-5434 Species denotes people Tax:9606
87 5229-5236 Disease denotes obesity MESH:D009765
88 5312-5319 Disease denotes obesity MESH:D009765
89 5470-5482 Disease denotes malnutrition MESH:D044342
91 5857-5864 Disease denotes obesity MESH:D009765
94 5958-5964 Species denotes people Tax:9606
95 5880-5892 Disease denotes malnutrition MESH:D044342
98 6375-6387 Disease denotes malnutrition MESH:D044342
99 6554-6566 Disease denotes malnutrition MESH:D044342
101 6657-6685 Disease denotes rubella vaccination sessions MESH:D012409
103 6734-6747 Disease denotes Breast cancer MESH:D001943
106 6997-7002 Species denotes women Tax:9606
107 6868-6881 Disease denotes breast cancer MESH:D001943
113 7064-7069 Species denotes women Tax:9606
114 7089-7094 Species denotes women Tax:9606
115 7013-7026 Disease denotes Breast cancer MESH:D001943
116 7054-7060 Disease denotes cancer MESH:D009369
117 7115-7128 Disease denotes breast cancer MESH:D001943
120 7409-7423 Disease denotes breast cancers MESH:D001943
121 7474-7487 Disease denotes breast cancer MESH:D001943
123 8279-8286 Disease denotes cancers MESH:D009369
127 8624-8630 Species denotes People Tax:9606
128 8704-8717 Disease denotes HIV infection MESH:D015658
129 8768-8781 Disease denotes HIV infection MESH:D015658
134 8903-8909 Species denotes people Tax:9606
135 8970-8973 Species denotes men Tax:9606
136 8992-8995 Species denotes men Tax:9606
137 9000-9006 Species denotes people Tax:9606
140 9597-9601 Gene denotes JAMA Gene:50848
141 9703-9724 Disease denotes infections within HIV MESH:D015658
145 9778-9784 Species denotes people Tax:9606
146 9842-9851 Chemical denotes tenofovir MESH:C096918
147 9856-9869 Chemical denotes emtricitabine MESH:C122114

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T1 0-22 Sentence denotes Public health round-up
T2 24-29 Sentence denotes 2020:
T3 30-59 Sentence denotes Year of the Nurse and Midwife
T4 60-161 Sentence denotes Mary Uwingabire, a midwife at Kawempe Referral Hospital, Uganda, holding the baby of Kabugho Moureen.
T5 162-280 Sentence denotes Nine million more nurses and midwives are needed, if countries are to make progress towards universal health coverage.
T6 281-417 Sentence denotes 2020 is the International Year of the Nurse and the Midwife, the theme of this year’s World Health Day on 7 April. http://bit.ly/2RiRzk1
T7 418-437 Sentence denotes UNICEF/Zahara Abdul
T8 439-454 Sentence denotes New coronavirus
T9 455-654 Sentence denotes The World Health Organization (WHO) was working with officials in Thailand and China last month, following confirmation of an infection with the novel coronavirus (2019-nCoV) in a person in Thailand.
T10 655-777 Sentence denotes The person was a traveller from Wuhan, China and was identified by Thai officials on 8 January, and hospitalized that day.
T11 778-850 Sentence denotes The person was recovering from the illness, according to Thai officials.
T12 851-1091 Sentence denotes This is the first exported case of novel coronavirus from Wuhan, China, as of 14 January, after China reported 41 cases with a preliminary diagnosis of 2019-nCoV infection, including 1 death in a person with an underlying medical condition.
T13 1092-1233 Sentence denotes Exported cases were expected and this first identified case reinforces WHO’s calls for active monitoring and preparedness in other countries.
T14 1234-1302 Sentence denotes WHO has issued guidance on how to detect and treat infected persons.
T15 1303-1398 Sentence denotes The genetic sequencing data shared by China enable more countries to rapidly diagnose patients.
T16 1399-1547 Sentence denotes WHO reiterated that investigations need to continue in China to identify the source of the outbreak and any animal reservoirs or intermediate hosts.
T17 1548-1569 Sentence denotes http://bit.ly/2TB941Z
T18 1571-1606 Sentence denotes Men’s tobacco epidemic turns corner
T19 1607-1876 Sentence denotes The number of men using tobacco is declining globally for the first time in spite of population growth, indicating a shift in the global tobacco epidemic, according to the WHO global report on trends in prevalence of tobacco use 2000-2025 that was released in December.
T20 1877-2066 Sentence denotes The number of male tobacco users, which had previously been increasing, turned the corner in 2018 and is projected to decline each year from 2019, if tobacco control efforts are maintained.
T21 2067-2197 Sentence denotes Overall global tobacco use has fallen by about 60 million people, from 1.397 billion users in 2000 to 1.337 billion users in 2018.
T22 2198-2363 Sentence denotes This drop in tobacco use has been largely driven by reductions in women users: in 2018, 244 million women were using tobacco compared with 346 million women in 2000.
T23 2364-2578 Sentence denotes Over the same period, the number of male tobacco users increased by around 40 million, from 1.050 billion in 2000 to 1.093 billion in 2018, representing about 82% of the world’s current 1.337 billion tobacco users.
T24 2579-2819 Sentence denotes The new report shows, however, that the number of male tobacco users has stopped increasing and is projected to have declined by 2 million to 1.091 billion this year and by 5 million to 1.087 billion in 2025 as compared with the 2018 level.
T25 2820-2960 Sentence denotes By 2020, WHO projects there will be 10 million fewer tobacco users, male and female, compared to 2018, and another 27 million fewer by 2025.
T26 2961-3045 Sentence denotes A total of 130 countries have been experiencing a decline in tobacco use since 2010.
T27 3046-3067 Sentence denotes http://bit.ly/2t8AHod
T28 3069-3116 Sentence denotes Measles in the Democratic Republic of the Congo
T29 3117-3214 Sentence denotes WHO called for more funding to stop the measles outbreak in the Democratic Republic of the Congo.
T30 3215-3345 Sentence denotes As of 5 January, the health ministry had reported a cumulative total of 316 454 cases and 6102 deaths since the beginning of 2019.
T31 3346-3425 Sentence denotes During the first week of this year, 4983 new cases were reported and 57 deaths.
T32 3426-3635 Sentence denotes A vaccination campaign led by the health ministry reached more than 18 million children under five years of age across the country in 2019 with support from WHO, Gavi, the Vaccine Alliance, and other agencies.
T33 3636-3788 Sentence denotes However, in some areas, routine vaccination coverage remains low and about a quarter of the reported measles cases are in children over the age of five.
T34 3789-3851 Sentence denotes “We are doing our utmost to bring this epidemic under control.
T35 3852-4001 Sentence denotes Yet, to be truly successful, we must ensure that no child faces the unnecessary risk of death from a disease that is easily preventable by a vaccine.
T36 4002-4127 Sentence denotes We urge our donor partners to urgently step up their assistance,” said Dr Matshidiso Moeti, WHO Regional Director for Africa.
T37 4128-4297 Sentence denotes The epidemic has been fuelled by low vaccination coverage among vulnerable communities, malnutrition, weak public health systems and difficult access to health services.
T38 4298-4375 Sentence denotes In addition, insecurity has also hampered the measles response in some areas.
T39 4376-4439 Sentence denotes Lack of funding is also a major barrier to ending the outbreak.
T40 4440-4658 Sentence denotes So far, US$ 27.6 million has been mobilized but a further US$ 40 million is needed for a six-month plan to extend the vaccination to children between the age of six and 14 years, and to reinforce the outbreak response.
T41 4659-4680 Sentence denotes http://bit.ly/3aeVS8u
T42 4682-4708 Sentence denotes Obesity and undernutrition
T43 4709-4968 Sentence denotes Countries need to re-orient their food systems towards healthier nutrition to reduce undernutrition and obesity that are becoming increasingly connected, according to a four-paper report published in The Lancet in December 2019 co-authored by WHO researchers.
T44 4969-5077 Sentence denotes More than a third of low- and middle-income countries have populations with both undernutrition and obesity.
T45 5078-5209 Sentence denotes These overlapping forms of malnutrition were found in 45 out of 123 countries in the 1990s and in 48 of 126 countries in the 2010s.
T46 5210-5365 Sentence denotes Undernutrition and obesity can lead to effects across generations as both maternal undernutrition and obesity are associated with poor health in offspring.
T47 5366-5566 Sentence denotes However, because of the speed of change in food systems, more people are being exposed to both forms of malnutrition at different points in their lifetimes, which compounds the harmful health effects.
T48 5567-5865 Sentence denotes “We are facing a new nutrition reality,” said WHO author Dr Francesco Branca, Director of the Department of Nutrition for Health and Development at WHO headquarters in Geneva. “We can no longer characterize countries as low income and undernourished, or high income and only concerned with obesity.
T49 5866-6018 Sentence denotes “All forms of malnutrition have a common denominator: food systems that fail to provide all people with healthy, safe, affordable and sustainable diets.
T50 6019-6199 Sentence denotes Changing this will require action across food systems – from production and processing, through trade and distribution, pricing, marketing, and labelling, to consumption and waste.
T51 6200-6282 Sentence denotes All relevant policies and investments must be radically re-examined,” Branca said.
T52 6283-6584 Sentence denotes The new report explores the trends behind this intersection – known as the double burden of malnutrition – as well as the societal and food system changes that may be causing this problem, the biological explanation and effects, and policy measures that may help address malnutrition in all its forms.
T53 6585-6606 Sentence denotes http://bit.ly/2NtWsFJ
T54 6607-6618 Sentence denotes Cover Photo
T55 6619-6714 Sentence denotes Health workers walking to measles and rubella vaccination sessions in Arunachal Pradesh, India.
T56 6715-6732 Sentence denotes UNICEF/ Biju Boro
T57 6734-6771 Sentence denotes Breast cancer biosimilar prequalified
T58 6772-7012 Sentence denotes WHO announced on 18 December that it had prequalified a biosimilar medicine for the first time, breast cancer drug trastuzumab, in a move that could make this expensive, life-saving treatment more affordable and available to women globally.
T59 7013-7070 Sentence denotes Breast cancer is the most common form of cancer in women.
T60 7071-7261 Sentence denotes About 2.1 million women were diagnosed with breast cancer in 2018, of which 630 000 died from the disease, in many cases because of late diagnosis and lack of access to affordable treatment.
T61 7262-7424 Sentence denotes Trastuzumab – a monoclonal antibody – was included in the WHO Model list of essential medicines in 2015 as an essential treatment for about 20% of breast cancers.
T62 7425-7543 Sentence denotes It has shown high efficacy in curing early stage breast cancer and, in some cases, more advanced forms of the disease.
T63 7544-7630 Sentence denotes The annual cost of trastuzumab from originator companies can be as high as US$ 20 000.
T64 7631-7714 Sentence denotes The biosimilar version of trastuzumab is generally 65% cheaper than the originator.
T65 7715-7845 Sentence denotes With this WHO listing, and more products expected in the prequalification pipeline, treatment prices should decrease even further.
T66 7846-8030 Sentence denotes The biosimilar medicine, supplied by Samsung Bioepis NL B.V. (Netherlands), was assessed by WHO and found comparable to the originator product in terms of efficacy, safety and quality.
T67 8031-8125 Sentence denotes That means it is eligible for procurement by United Nations agencies and for national tenders.
T68 8126-8322 Sentence denotes Biotherapeutic medicines, which are produced from biological sources, such as cells rather than synthesized chemicals, are important treatments for some cancers and other noncommunicable diseases.
T69 8323-8563 Sentence denotes Biosimilars, like generic medicines, can be much less expensive versions of innovator biotherapeutics, while keeping the same effectiveness and are usually manufactured by other companies once the patent on the original product has expired.
T70 8564-8585 Sentence denotes http://bit.ly/2TpAeIN
T71 8587-8623 Sentence denotes Pre-exposure prophylaxis against HIV
T72 8624-8845 Sentence denotes People who are taking antiretroviral drugs to protect themselves from acquiring HIV infection because they are considered to be at high risk of HIV infection are also at high risk of other sexually transmitted infections.
T73 8846-9102 Sentence denotes Pre-exposure prophylaxis (PrEP) is given to HIV-negative people with a higher-than-average risk of contracting HIV, such as men who have sex with men and people who inject drugs, sero-discordant couples, and young adolescents in certain parts of the world.
T74 9103-9351 Sentence denotes These services could be an ideal place to test for, prevent and treat HIV, as well as other sexually transmitted infections, according to a global study led by Monash University in Australia and supported by WHO that was published in December 2019.
T75 9352-9571 Sentence denotes The Melbourne Sexual Health Centre and WHO worked with a team of researchers to conduct a global systematic review evaluating the prevalence and incidence of sexually transmitted infections among individuals using PrEP.
T76 9572-9736 Sentence denotes The review, published in JAMA Network Open, highlighted the limited focus and investment in the management of sexually transmitted infections within HIV programmes.
T77 9737-9809 Sentence denotes Since 2015, WHO has recommended PrEP for people at substantial HIV risk.
T78 9810-9870 Sentence denotes It consists of a combination of tenofovir and emtricitabine.
T79 9871-9892 Sentence denotes http://bit.ly/38786yk
T80 9893-9906 Sentence denotes Looking ahead
T81 9907-9922 Sentence denotes 3 – 8 February.
T82 9923-9990 Sentence denotes WHO Executive Board Meeting, WHO headquarters, Geneva, Switzerland.
T83 9991-10008 Sentence denotes 24 – 26 February.
T84 10009-10100 Sentence denotes First Global Technical Partnership Meeting on Antimicrobial Stewardship, Bangkok, Thailand.

LitCovid-PD-HP

Id Subject Object Predicate Lexical cue hp_id
T1 4216-4228 Phenotype denotes malnutrition http://purl.obolibrary.org/obo/HP_0004395
T2 4682-4689 Phenotype denotes Obesity http://purl.obolibrary.org/obo/HP_0001513
T3 4813-4820 Phenotype denotes obesity http://purl.obolibrary.org/obo/HP_0001513
T4 5069-5076 Phenotype denotes obesity http://purl.obolibrary.org/obo/HP_0001513
T5 5105-5117 Phenotype denotes malnutrition http://purl.obolibrary.org/obo/HP_0004395
T6 5229-5236 Phenotype denotes obesity http://purl.obolibrary.org/obo/HP_0001513
T7 5312-5319 Phenotype denotes obesity http://purl.obolibrary.org/obo/HP_0001513
T8 5470-5482 Phenotype denotes malnutrition http://purl.obolibrary.org/obo/HP_0004395
T9 5857-5864 Phenotype denotes obesity http://purl.obolibrary.org/obo/HP_0001513
T10 5880-5892 Phenotype denotes malnutrition http://purl.obolibrary.org/obo/HP_0004395
T11 6375-6387 Phenotype denotes malnutrition http://purl.obolibrary.org/obo/HP_0004395
T12 6554-6566 Phenotype denotes malnutrition http://purl.obolibrary.org/obo/HP_0004395
T13 6734-6747 Phenotype denotes Breast cancer http://purl.obolibrary.org/obo/HP_0003002
T14 6868-6881 Phenotype denotes breast cancer http://purl.obolibrary.org/obo/HP_0003002
T15 7013-7026 Phenotype denotes Breast cancer http://purl.obolibrary.org/obo/HP_0003002
T16 7054-7060 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T17 7115-7128 Phenotype denotes breast cancer http://purl.obolibrary.org/obo/HP_0003002
T18 7409-7423 Phenotype denotes breast cancers http://purl.obolibrary.org/obo/HP_0003002
T19 7474-7487 Phenotype denotes breast cancer http://purl.obolibrary.org/obo/HP_0003002