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PMC:6986229 / 24-10100 JSONTXT

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LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
2 611-617 Species denotes person Tax:9606
3 557-566 Disease denotes infection MESH:D007239
6 635-641 Species denotes person Tax:9606
7 758-764 Species denotes person Tax:9606
11 1023-1029 Species denotes person Tax:9606
12 979-998 Disease denotes 2019-nCoV infection MESH:D007239
13 1012-1017 Disease denotes death MESH:D003643
15 1261-1277 Disease denotes infected persons MESH:D010554
17 1365-1373 Species denotes patients Tax:9606
20 1547-1550 Species denotes Men Tax:9606
21 1553-1582 Disease denotes tobacco epidemic turns corner MESH:D014029
26 1597-1600 Species denotes men Tax:9606
27 1607-1614 Species denotes tobacco Tax:4097
28 1720-1727 Species denotes tobacco Tax:4097
29 1800-1807 Species denotes tobacco Tax:4097
32 1872-1879 Species denotes tobacco Tax:4097
33 2003-2010 Species denotes tobacco Tax:4097
36 2058-2065 Species denotes tobacco Tax:4097
37 2101-2107 Species denotes people Tax:9606
43 2187-2194 Species denotes tobacco Tax:4097
44 2240-2245 Species denotes women Tax:9606
45 2274-2279 Species denotes women Tax:9606
46 2291-2298 Species denotes tobacco Tax:4097
47 2325-2330 Species denotes women Tax:9606
50 2381-2388 Species denotes tobacco Tax:4097
51 2540-2547 Species denotes tobacco Tax:4097
53 2610-2617 Species denotes tobacco Tax:4097
56 2849-2856 Species denotes tobacco Tax:4097
57 2998-3005 Species denotes tobacco Tax:4097
59 3481-3489 Species denotes children Tax:9606
61 3734-3742 Species denotes children Tax:9606
66 3880-3885 Species denotes child Tax:9606
67 3990-3995 Species denotes donor Tax:9606
68 3916-3921 Disease denotes death MESH:D003643
69 4049-4068 Disease denotes Dr Matshidiso Moeti
71 4192-4204 Disease denotes malnutrition MESH:D044342
73 4549-4557 Species denotes children Tax:9606
75 4658-4665 Disease denotes Obesity MESH:D009765
77 4789-4796 Disease denotes obesity MESH:D009765
80 5045-5052 Disease denotes obesity MESH:D009765
81 5081-5093 Disease denotes malnutrition MESH:D044342
86 5404-5410 Species denotes people Tax:9606
87 5205-5212 Disease denotes obesity MESH:D009765
88 5288-5295 Disease denotes obesity MESH:D009765
89 5446-5458 Disease denotes malnutrition MESH:D044342
91 5833-5840 Disease denotes obesity MESH:D009765
94 5934-5940 Species denotes people Tax:9606
95 5856-5868 Disease denotes malnutrition MESH:D044342
98 6351-6363 Disease denotes malnutrition MESH:D044342
99 6530-6542 Disease denotes malnutrition MESH:D044342
101 6633-6661 Disease denotes rubella vaccination sessions MESH:D012409
103 6710-6723 Disease denotes Breast cancer MESH:D001943
106 6973-6978 Species denotes women Tax:9606
107 6844-6857 Disease denotes breast cancer MESH:D001943
113 7040-7045 Species denotes women Tax:9606
114 7065-7070 Species denotes women Tax:9606
115 6989-7002 Disease denotes Breast cancer MESH:D001943
116 7030-7036 Disease denotes cancer MESH:D009369
117 7091-7104 Disease denotes breast cancer MESH:D001943
120 7385-7399 Disease denotes breast cancers MESH:D001943
121 7450-7463 Disease denotes breast cancer MESH:D001943
123 8255-8262 Disease denotes cancers MESH:D009369
127 8600-8606 Species denotes People Tax:9606
128 8680-8693 Disease denotes HIV infection MESH:D015658
129 8744-8757 Disease denotes HIV infection MESH:D015658
134 8879-8885 Species denotes people Tax:9606
135 8946-8949 Species denotes men Tax:9606
136 8968-8971 Species denotes men Tax:9606
137 8976-8982 Species denotes people Tax:9606
140 9573-9577 Gene denotes JAMA Gene:50848
141 9679-9700 Disease denotes infections within HIV MESH:D015658
145 9754-9760 Species denotes people Tax:9606
146 9818-9827 Chemical denotes tenofovir MESH:C096918
147 9832-9845 Chemical denotes emtricitabine MESH:C122114

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T2 0-5 Sentence denotes 2020:
T3 6-35 Sentence denotes Year of the Nurse and Midwife
T4 36-137 Sentence denotes Mary Uwingabire, a midwife at Kawempe Referral Hospital, Uganda, holding the baby of Kabugho Moureen.
T5 138-256 Sentence denotes Nine million more nurses and midwives are needed, if countries are to make progress towards universal health coverage.
T6 257-393 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 394-413 Sentence denotes UNICEF/Zahara Abdul
T8 415-430 Sentence denotes New coronavirus
T9 431-630 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 631-753 Sentence denotes The person was a traveller from Wuhan, China and was identified by Thai officials on 8 January, and hospitalized that day.
T11 754-826 Sentence denotes The person was recovering from the illness, according to Thai officials.
T12 827-1067 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 1068-1209 Sentence denotes Exported cases were expected and this first identified case reinforces WHO’s calls for active monitoring and preparedness in other countries.
T14 1210-1278 Sentence denotes WHO has issued guidance on how to detect and treat infected persons.
T15 1279-1374 Sentence denotes The genetic sequencing data shared by China enable more countries to rapidly diagnose patients.
T16 1375-1523 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 1524-1545 Sentence denotes http://bit.ly/2TB941Z
T18 1547-1582 Sentence denotes Men’s tobacco epidemic turns corner
T19 1583-1852 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 1853-2042 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 2043-2173 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 2174-2339 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 2340-2554 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 2555-2795 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 2796-2936 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 2937-3021 Sentence denotes A total of 130 countries have been experiencing a decline in tobacco use since 2010.
T27 3022-3043 Sentence denotes http://bit.ly/2t8AHod
T28 3045-3092 Sentence denotes Measles in the Democratic Republic of the Congo
T29 3093-3190 Sentence denotes WHO called for more funding to stop the measles outbreak in the Democratic Republic of the Congo.
T30 3191-3321 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 3322-3401 Sentence denotes During the first week of this year, 4983 new cases were reported and 57 deaths.
T32 3402-3611 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 3612-3764 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 3765-3827 Sentence denotes “We are doing our utmost to bring this epidemic under control.
T35 3828-3977 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 3978-4103 Sentence denotes We urge our donor partners to urgently step up their assistance,” said Dr Matshidiso Moeti, WHO Regional Director for Africa.
T37 4104-4273 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 4274-4351 Sentence denotes In addition, insecurity has also hampered the measles response in some areas.
T39 4352-4415 Sentence denotes Lack of funding is also a major barrier to ending the outbreak.
T40 4416-4634 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 4635-4656 Sentence denotes http://bit.ly/3aeVS8u
T42 4658-4684 Sentence denotes Obesity and undernutrition
T43 4685-4944 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 4945-5053 Sentence denotes More than a third of low- and middle-income countries have populations with both undernutrition and obesity.
T45 5054-5185 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 5186-5341 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 5342-5542 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 5543-5841 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 5842-5994 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 5995-6175 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 6176-6258 Sentence denotes All relevant policies and investments must be radically re-examined,” Branca said.
T52 6259-6560 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 6561-6582 Sentence denotes http://bit.ly/2NtWsFJ
T54 6583-6594 Sentence denotes Cover Photo
T55 6595-6690 Sentence denotes Health workers walking to measles and rubella vaccination sessions in Arunachal Pradesh, India.
T56 6691-6708 Sentence denotes UNICEF/ Biju Boro
T57 6710-6747 Sentence denotes Breast cancer biosimilar prequalified
T58 6748-6988 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 6989-7046 Sentence denotes Breast cancer is the most common form of cancer in women.
T60 7047-7237 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 7238-7400 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 7401-7519 Sentence denotes It has shown high efficacy in curing early stage breast cancer and, in some cases, more advanced forms of the disease.
T63 7520-7606 Sentence denotes The annual cost of trastuzumab from originator companies can be as high as US$ 20 000.
T64 7607-7690 Sentence denotes The biosimilar version of trastuzumab is generally 65% cheaper than the originator.
T65 7691-7821 Sentence denotes With this WHO listing, and more products expected in the prequalification pipeline, treatment prices should decrease even further.
T66 7822-8006 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 8007-8101 Sentence denotes That means it is eligible for procurement by United Nations agencies and for national tenders.
T68 8102-8298 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 8299-8539 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 8540-8561 Sentence denotes http://bit.ly/2TpAeIN
T71 8563-8599 Sentence denotes Pre-exposure prophylaxis against HIV
T72 8600-8821 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 8822-9078 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 9079-9327 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 9328-9547 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 9548-9712 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 9713-9785 Sentence denotes Since 2015, WHO has recommended PrEP for people at substantial HIV risk.
T78 9786-9846 Sentence denotes It consists of a combination of tenofovir and emtricitabine.
T79 9847-9868 Sentence denotes http://bit.ly/38786yk
T80 9869-9882 Sentence denotes Looking ahead
T81 9883-9898 Sentence denotes 3 – 8 February.
T82 9899-9966 Sentence denotes WHO Executive Board Meeting, WHO headquarters, Geneva, Switzerland.
T83 9967-9984 Sentence denotes 24 – 26 February.
T84 9985-10076 Sentence denotes First Global Technical Partnership Meeting on Antimicrobial Stewardship, Bangkok, Thailand.

LitCovid-PD-HP

Id Subject Object Predicate Lexical cue hp_id
T1 4192-4204 Phenotype denotes malnutrition http://purl.obolibrary.org/obo/HP_0004395
T2 4658-4665 Phenotype denotes Obesity http://purl.obolibrary.org/obo/HP_0001513
T3 4789-4796 Phenotype denotes obesity http://purl.obolibrary.org/obo/HP_0001513
T4 5045-5052 Phenotype denotes obesity http://purl.obolibrary.org/obo/HP_0001513
T5 5081-5093 Phenotype denotes malnutrition http://purl.obolibrary.org/obo/HP_0004395
T6 5205-5212 Phenotype denotes obesity http://purl.obolibrary.org/obo/HP_0001513
T7 5288-5295 Phenotype denotes obesity http://purl.obolibrary.org/obo/HP_0001513
T8 5446-5458 Phenotype denotes malnutrition http://purl.obolibrary.org/obo/HP_0004395
T9 5833-5840 Phenotype denotes obesity http://purl.obolibrary.org/obo/HP_0001513
T10 5856-5868 Phenotype denotes malnutrition http://purl.obolibrary.org/obo/HP_0004395
T11 6351-6363 Phenotype denotes malnutrition http://purl.obolibrary.org/obo/HP_0004395
T12 6530-6542 Phenotype denotes malnutrition http://purl.obolibrary.org/obo/HP_0004395
T13 6710-6723 Phenotype denotes Breast cancer http://purl.obolibrary.org/obo/HP_0003002
T14 6844-6857 Phenotype denotes breast cancer http://purl.obolibrary.org/obo/HP_0003002
T15 6989-7002 Phenotype denotes Breast cancer http://purl.obolibrary.org/obo/HP_0003002
T16 7030-7036 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T17 7091-7104 Phenotype denotes breast cancer http://purl.obolibrary.org/obo/HP_0003002
T18 7385-7399 Phenotype denotes breast cancers http://purl.obolibrary.org/obo/HP_0003002
T19 7450-7463 Phenotype denotes breast cancer http://purl.obolibrary.org/obo/HP_0003002