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LitCovid-PD-FMA-UBERON

Id Subject Object Predicate Lexical cue fma_id
T1 1454-1457 Body_part denotes IgG http://purl.org/sig/ont/fma/fma62872
T2 1478-1483 Body_part denotes blood http://purl.org/sig/ont/fma/fma9670
T3 2760-2764 Body_part denotes hand http://purl.org/sig/ont/fma/fma9712
T4 5703-5709 Body_part denotes mental http://purl.org/sig/ont/fma/fma264279
T5 6594-6598 Body_part denotes lens http://purl.org/sig/ont/fma/fma58241
T6 7333-7339 Body_part denotes mental http://purl.org/sig/ont/fma/fma264279
T7 7525-7531 Body_part denotes mental http://purl.org/sig/ont/fma/fma264279
T8 7645-7651 Body_part denotes mental http://purl.org/sig/ont/fma/fma264279

LitCovid-PD-UBERON

Id Subject Object Predicate Lexical cue uberon_id
T1 1478-1483 Body_part denotes blood http://purl.obolibrary.org/obo/UBERON_0000178
T2 2760-2764 Body_part denotes hand http://purl.obolibrary.org/obo/UBERON_0002398

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T1 30-38 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T2 61-69 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T3 551-559 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T4 1159-1165 Disease denotes Amelia http://purl.obolibrary.org/obo/MONDO_0017419
T5 1323-1331 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T6 1422-1426 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T7 1442-1446 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T8 1749-1757 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T9 2059-2063 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T10 2515-2519 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T11 2526-2535 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T12 2633-2642 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T13 3464-3468 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T14 3907-3915 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T15 4282-4290 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T16 4588-4595 Disease denotes obesity http://purl.obolibrary.org/obo/MONDO_0011122
T17 4663-4671 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T18 4821-4829 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T19 5004-5008 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T20 5015-5024 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T21 5275-5283 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T22 5477-5485 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T23 5571-5575 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T24 5582-5591 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T25 6107-6115 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T26 6177-6185 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T27 6682-6690 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T28 7250-7258 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T29 7367-7375 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T30 7483-7491 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T31 7514-7520 Disease denotes trauma http://purl.obolibrary.org/obo/MONDO_0021178
T32 7585-7587 Disease denotes he http://purl.obolibrary.org/obo/MONDO_0017319
T33 8453-8461 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T34 8766-8774 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T1 0-5 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes Human
T2 148-153 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes human
T3 230-231 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T4 232-237 http://purl.obolibrary.org/obo/UBERON_0007688 denotes field
T5 297-302 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes human
T6 462-467 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes Human
T7 492-493 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T8 691-696 http://purl.obolibrary.org/obo/UBERON_0007688 denotes field
T9 1043-1048 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes human
T10 1084-1091 http://purl.obolibrary.org/obo/UBERON_0000473 denotes testing
T11 1138-1143 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T12 1198-1203 http://purl.obolibrary.org/obo/UBERON_0007688 denotes field
T13 1249-1257 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes by human
T14 1278-1279 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T15 1478-1483 http://purl.obolibrary.org/obo/UBERON_0000178 denotes blood
T16 1478-1483 http://www.ebi.ac.uk/efo/EFO_0000296 denotes blood
T17 1907-1909 http://purl.obolibrary.org/obo/CLO_0001022 denotes Li
T18 1907-1909 http://purl.obolibrary.org/obo/CLO_0007314 denotes Li
T19 2563-2568 http://purl.obolibrary.org/obo/OGG_0000000002 denotes genes
T20 2602-2603 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T21 2744-2745 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T22 2813-2818 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T23 2935-2940 http://purl.obolibrary.org/obo/CLO_0002013 denotes Bogin
T24 3144-3152 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes by human
T25 3381-3382 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T26 3965-3970 http://purl.obolibrary.org/obo/CLO_0002013 denotes Bogin
T27 4243-4248 http://purl.obolibrary.org/obo/CLO_0002013 denotes Bogin
T28 4466-4471 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes human
T29 6258-6261 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T30 6435-6440 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes human
T31 6594-6598 http://purl.obolibrary.org/obo/UBERON_0005389 denotes lens
T32 6630-6631 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T33 7034-7035 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T34 7061-7073 http://purl.obolibrary.org/obo/UBERON_0000982 denotes articulating
T35 7061-7073 http://purl.obolibrary.org/obo/UBERON_0004905 denotes articulating
T36 7891-7892 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T37 8104-8105 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T38 8290-8295 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes human

LitCovid-PD-CHEBI

Id Subject Object Predicate Lexical cue chebi_id
T1 502-507 Chemical denotes group http://purl.obolibrary.org/obo/CHEBI_24433
T2 1670-1681 Chemical denotes application http://purl.obolibrary.org/obo/CHEBI_33232
T3 1907-1909 Chemical denotes Li http://purl.obolibrary.org/obo/CHEBI_30145

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
2 0-5 Species denotes Human Tax:9606
3 30-38 Disease denotes COVID‐19 MESH:C000657245
11 148-153 Species denotes human Tax:9606
12 297-302 Species denotes human Tax:9606
13 462-467 Species denotes Human Tax:9606
14 837-854 Species denotes novel-coronavirus Tax:2697049
15 61-69 Disease denotes COVID‐19 MESH:C000657245
16 551-559 Disease denotes COVID‐19 MESH:C000657245
17 803-811 Disease denotes Covid‐19 MESH:C000657245
23 1043-1048 Species denotes human Tax:9606
24 1252-1257 Species denotes human Tax:9606
25 1422-1440 Species denotes SARS coronavirus‐2 Tax:2697049
26 1442-1452 Species denotes SARS‐CoV‐2 Tax:2697049
27 1323-1331 Disease denotes COVID‐19 MESH:C000657245
30 2059-2069 Species denotes SARS‐CoV‐2 Tax:2697049
31 1749-1757 Disease denotes COVID‐19 MESH:C000657245
34 2515-2535 Disease denotes SARS‐CoV‐2 infection MESH:C000657245
35 2633-2642 Disease denotes infection MESH:D007239
42 3052-3057 Species denotes child Tax:9606
43 3147-3152 Species denotes human Tax:9606
44 3464-3474 Species denotes SARS‐CoV‐2 Tax:2697049
45 3945-3950 Species denotes child Tax:9606
46 3291-3310 Disease denotes psychosocial stress MESH:D000079225
47 3907-3915 Disease denotes COVID‐19 MESH:C000657245
51 4466-4471 Species denotes human Tax:9606
52 4052-4058 Disease denotes stress MESH:D000079225
53 4282-4290 Disease denotes COVID‐19 MESH:C000657245
58 4588-4595 Disease denotes obesity MESH:D009765
59 4663-4671 Disease denotes COVID‐19 MESH:C000657245
60 4821-4829 Disease denotes COVID‐19 MESH:C000657245
61 5004-5024 Disease denotes SARS‐CoV‐2 infection MESH:C000657245
65 5275-5283 Disease denotes COVID‐19 MESH:C000657245
66 5477-5485 Disease denotes COVID‐19 MESH:C000657245
67 5571-5591 Disease denotes SARS‐CoV‐2 infection MESH:C000657245
69 6107-6115 Disease denotes COVID‐19 MESH:C000657245
73 6350-6356 Species denotes people Tax:9606
74 6435-6440 Species denotes human Tax:9606
75 6177-6185 Disease denotes COVID‐19 MESH:C000657245
79 6682-6690 Disease denotes COVID‐19 MESH:C000657245
80 7221-7245 Disease denotes cardiometabolic diseases MESH:D003141
81 7250-7258 Disease denotes COVID‐19 MESH:C000657245
86 7684-7696 Species denotes participants Tax:9606
87 7367-7375 Disease denotes COVID‐19 MESH:C000657245
88 7483-7491 Disease denotes COVID‐19 MESH:C000657245
89 7514-7520 Disease denotes trauma MESH:D014947
91 8290-8295 Species denotes human Tax:9606
94 8453-8461 Disease denotes COVID‐19 MESH:C000657245
95 8766-8774 Disease denotes COVID‐19 MESH:C000657245

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T1 0-47 Sentence denotes Human Biologists confront the COVID‐19 pandemic
T2 48-55 Sentence denotes Leonard
T3 57-226 Sentence denotes The COVID‐19 pandemic stands as the defining global health crisis of our age, transforming human societies and exacerbating long‐standing social and health inequalities.
T4 227-412 Sentence denotes As a field that integrates across the biological and social sciences, human biology is uniquely positioned to offer important insights on nature and differential impact of the pandemic.
T5 413-605 Sentence denotes In this special issue of the American Journal of Human Biology, I have invited a diverse group of scholars to provide Commentaries on the COVID‐19 pandemic from the perspective their research.
T6 606-722 Sentence denotes These 14 Commentaries highlight the impressive scope of work being undertaken in our field to address this pandemic.
T7 723-881 Sentence denotes All of these contributions are freely‐accessible and are also posted on Wiley's Covid‐19 Resource Center (https://novel-coronavirus.onlinelibrary.wiley.com/).
T8 882-1144 Sentence denotes The Commentaries by McDade & Sancilio (2020), Jones, Hazel, & Almquist (2020) and Moya et al. (2020) showcase the methodological and analytical innovations that human biologists are making in advancing testing, diagnostics, and modelling the spread of the virus.
T9 1145-1341 Sentence denotes Thom McDade & Amelia Sancilio (2020) discuss how the field‐based research approaches developed and used by human biologists can play a critical role in advancing community‐based COVID‐19 research.
T10 1342-1616 Sentence denotes In particular, McDade et al.' (2020) recently‐developed technique for measuring SARS coronavirus‐2 (SARS‐CoV‐2) IgG antibodies in dried blood spot samples offers an important tool for assessing variation in the impact of the pandemic in diverse populations around the globe.
T11 1617-1767 Sentence denotes James Jones et al. (2020) provide an overview of the application of transmission‐dynamic models for understanding the impact of the COVID‐19 pandemic.
T12 1768-1924 Sentence denotes Such models were critically important in helping epidemiologists estimate the size and scope of the early stages of the epidemic in China (Li et al., 2020).
T13 1925-2164 Sentence denotes More recent studies have used transmission‐dynamic models to explore postpandemic conditions such as the potential for seasonality in SARS‐CoV‐2 outbreaks and the need for prolonged or intermittent social distancing (Kissler et al., 2020).
T14 2165-2304 Sentence denotes Cristina Moya et al. (2020) explore the challenges associated with promoting behavioral change that will reduce the impact of the pandemic.
T15 2305-2443 Sentence denotes They suggest that models and insights from evolutionary biology may be help to improve public health strategies for effecting such change.
T16 2444-2536 Sentence denotes Theodore Schurr (2020) examines the potential genetic risk factors for SARS‐CoV‐2 infection.
T17 2537-2648 Sentence denotes He notes that most of the genes currently identified likely have a relatively limited impact on infection risk.
T18 2649-2854 Sentence denotes These findings suggest that social factors and other health risks and comorbidities are having a much stronger hand in shaping the disparities in the impact of the virus across communities and populations.
T19 2855-3065 Sentence denotes Commentaries by Gildner & Thayer (2020), Palmquist, Asiodu, & Quinn (2020), and Bogin & Varea (2020) examine the potential transgenerational effects of the pandemic through its impacts on maternal‐child health.
T20 3066-3328 Sentence denotes Theresa Gildner & Zane Thayer (2020) nicely summarize several ongoing studies by human biologists that are exploring the consequences of the pandemic for different dimensions of mother‐infant well‐being (eg, immune function, psychosocial stress, infant feeding).
T21 3329-3526 Sentence denotes Aunchalee Palmquist et al. (2020), in turn, provide a critical evaluation of the wave of recent studies designed to understand whether SARS‐CoV‐2 can be transmitted to an infant through breastmilk.
T22 3527-3729 Sentence denotes They discuss both the difficulties in conducting such research under pandemic conditions as well as the challenges in translating these findings into relevant clinical and public health recommendations.
T23 3730-3958 Sentence denotes Palmquist and colleagues underscore the importance of the comparative, anthropological/evolutionary perspective in providing the necessary context for understanding the how the COVID‐19 pandemic is shaping maternal‐child health.
T24 3959-4110 Sentence denotes Barry Bogin and Carlos Varea (2020) explore how the pandemic may be contributing to maternal stress, low birth weights, and later‐life health outcomes.
T25 4111-4357 Sentence denotes Drawing on previous analyses of changes in birth weight in Spain in response to the 2008 financial crisis (see Terán et al., 2020), Bogin & Varea offer predictions on how COVID‐19 will impact birth weight and infant health in the next generation.
T26 4358-4501 Sentence denotes They suggest that it may take two or more generations to fully evaluate the consequences of the pandemic on human health across the life cycle.
T27 4502-4522 Sentence denotes Peter Katzmarzyk, J.
T28 4523-4686 Sentence denotes Michael Salbaum, & Steven Heymsfield (2020) consider the role of obesity and other chronic health problems in increasing the risk of severe COVID‐19 complications.
T29 4687-4851 Sentence denotes Recent work from the UK indicates that even modest levels of excess weight are associated with greater risk of hospitalization due to COVID‐19 (Hamer et al., 2020).
T30 4852-5100 Sentence denotes While the mechanisms responsible for these interactions have not yet been determined, it is clear that this dynamic between chronic health problems and SARS‐CoV‐2 infection is further exacerbating long‐standing social and ethnic health disparities.
T31 5101-5284 Sentence denotes Contributions by Brewis, Wutich & Mahdavi (2020), Bentley (2020), Gibb et al. (2020) and Gravlee (2020) evaluate dimensions of social and ethnic disparities in the impact of COVID‐19.
T32 5285-5486 Sentence denotes Alexandra Brewis and colleagues draw on insights from their previous research (eg, Brewis & Wutich, 2019) to offer predictions on the role of stigma in promoting disparities in the effects of COVID‐19.
T33 5487-5730 Sentence denotes They highlight the powerful and long‐lasting effect that the stigma associated with SARS‐CoV‐2 infection is likely to have, along with the outlining the mechanisms through which stigma leverages inequalities in both mental and physical health.
T34 5731-5867 Sentence denotes Gillian Bentley (2020) considers the influence of structural inequalities on producing ethnic disparities in the impact of the pandemic.
T35 5868-6116 Sentence denotes The model presented by Bentley nicely complements the Commentary by Katzmarzyk and colleagues in showing how larger structural inequalities over the life course contribute to cardiometabolic health problems that increase susceptibility to COVID‐19.
T36 6117-6229 Sentence denotes James Gibb et al. (2020) address the differential impact of COVID‐19 on sexual and gender minority (SGM) health.
T37 6230-6379 Sentence denotes They note that the pandemic has further exacerbated the structural and interpersonal stigma and discrimination that SGM people have long experienced.
T38 6380-6559 Sentence denotes Gibb and colleagues underscore the important role that human biologists can play in shaping policies and recommendations to promote more equitable responses to this health crisis.
T39 6560-6740 Sentence denotes Lance Gravlee (2020) broadens the lens on health disparities by using a syndemics framework to explore the interaction of COVID‐19 with systemic racism and chronic health problems.
T40 6741-7018 Sentence denotes The syndemics concept, developed and advanced by Merrill Singer and colleagues (eg, Singer, 2009; Mendenhall & Singer, 2020), highlights the roles of social and political‐economic forces in promoting and sustaining synergistic interactions among co‐occurring disease epidemics.
T41 7019-7259 Sentence denotes Gravlee offers a detailed syndemic model, articulating the pathways through which conditions of systemic racism and social distress contribute to the rising and interacting disparities in the impact of cardiometabolic diseases and COVID‐19.
T42 7260-7435 Sentence denotes Andrew Kim (2020) provides his insights on strategies for addressing the mental health consequences of the COVID‐19 pandemic from his ongoing research in Soweto, South Africa.
T43 7436-7539 Sentence denotes His commentary offers ethnographic accounts of COVID‐19 from his fieldwork on trauma and mental health.
T44 7540-7720 Sentence denotes In addition, Kim discusses the measures that he and his colleagues have implemented to the safeguard the mental health of research staff, study participants, and their communities.
T45 7721-7879 Sentence denotes Cara Ocobock and Christopher Lynn (2020) conclude this special issue by discussing the critical importance of effective science communication on the pandemic.
T46 7880-8025 Sentence denotes They offer a range of recommendations for increasing the impact and exposure (eg, blogs, podcasts, local events, multimedia formats) of our work.
T47 8026-8356 Sentence denotes As the Social Media Editors for the AJHB, Ocobock and Lynn will also be doing a Sausage of Science podcast (https://www.humbio.org/podcasts/) with the contributing authors to this special issue to further highlight the distinctive approaches and perspectives that human biologists are using to understand and address the pandemic.
T48 8357-8483 Sentence denotes I sincerely thank all the authors for their thoughtful and timely contributions to this special COVID‐19 issue of the journal.
T49 8484-8656 Sentence denotes I hope and expect that these Commentaries will help stimulate further research and collaboration to better understand and address the biosocial dimensions of this pandemic.
T50 8657-8775 Sentence denotes The AJHB will continue to be an important venue for publishing original research, reviews, and commentary on COVID‐19.

LitCovid-PD-HP

Id Subject Object Predicate Lexical cue hp_id
T1 1159-1165 Phenotype denotes Amelia http://purl.obolibrary.org/obo/HP_0009827
T2 1478-1488 Phenotype denotes blood spot http://purl.obolibrary.org/obo/HP_0000979
T3 2242-2259 Phenotype denotes behavioral change http://purl.obolibrary.org/obo/HP_0000708
T4 4060-4077 Phenotype denotes low birth weights http://purl.obolibrary.org/obo/HP_0001518
T5 4588-4595 Phenotype denotes obesity http://purl.obolibrary.org/obo/HP_0001513