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PMC:7266479 / 815-7163 JSONTXT

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LitCovid-PD-FMA-UBERON

Id Subject Object Predicate Lexical cue fma_id
T1 49-53 Body_part denotes face http://purl.org/sig/ont/fma/fma24728
T2 929-933 Body_part denotes lens http://purl.org/sig/ont/fma/fma58241
T3 4002-4006 Body_part denotes cell http://purl.org/sig/ont/fma/fma68646

LitCovid-PD-UBERON

Id Subject Object Predicate Lexical cue uberon_id
T1 49-53 Body_part denotes face http://purl.obolibrary.org/obo/UBERON_0001456

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T7 58-82 Disease denotes Coronavirus Disease 2019 http://purl.obolibrary.org/obo/MONDO_0100096
T8 84-92 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T9 233-241 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T10 498-506 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T11 1154-1173 Disease denotes Ebola virus disease http://purl.obolibrary.org/obo/MONDO_0005737
T12 1281-1286 Disease denotes Ebola http://purl.obolibrary.org/obo/MONDO_0005737
T13 1671-1679 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T14 1982-1990 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T15 3192-3200 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T16 3435-3440 Disease denotes Ebola http://purl.obolibrary.org/obo/MONDO_0005737
T17 4624-4633 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T18 4817-4825 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T19 4854-4862 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T20 5233-5241 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T21 5938-5946 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T22 6106-6111 Disease denotes Ebola http://purl.obolibrary.org/obo/MONDO_0005737

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T4 49-53 http://purl.obolibrary.org/obo/UBERON_0001456 denotes face
T5 564-576 http://purl.obolibrary.org/obo/OBI_0000245 denotes Organization
T6 598-599 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T7 639-642 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T8 656-657 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T9 929-933 http://purl.obolibrary.org/obo/UBERON_0005389 denotes lens
T10 1115-1118 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T11 1160-1165 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T12 1287-1292 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes Virus
T13 2023-2024 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T14 2046-2047 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T15 2109-2110 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T16 2147-2148 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T17 3175-3176 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T18 3296-3302 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tested
T19 3319-3320 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T20 3342-3343 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T21 3421-3422 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T22 3760-3761 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T23 3853-3855 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11
T24 3895-3898 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T25 3940-3949 http://www.ebi.ac.uk/efo/EFO_0000876 denotes extremely
T26 4002-4006 http://purl.obolibrary.org/obo/GO_0005623 denotes cell
T27 4166-4167 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T28 4184-4185 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T29 4322-4323 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T30 4352-4353 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T31 4456-4457 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T32 4494-4495 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T33 4550-4551 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T34 4641-4646 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T35 4888-4889 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T36 5128-5129 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T37 5231-5232 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T38 5609-5610 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T39 5918-5921 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T40 5935-5937 http://purl.obolibrary.org/obo/CLO_0053799 denotes 45
T41 6112-6117 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes Virus

LitCovid-PD-GO-BP

Id Subject Object Predicate Lexical cue
T1 895-904 http://purl.obolibrary.org/obo/GO_0007610 denotes behaviors
T2 1404-1413 http://purl.obolibrary.org/obo/GO_0007610 denotes behaviors
T3 3306-3314 http://purl.obolibrary.org/obo/GO_0015297 denotes exchange

LitCovid-PD-HP

Id Subject Object Predicate Lexical cue hp_id
T1 4582-4587 Phenotype denotes Cough http://purl.obolibrary.org/obo/HP_0012735

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T8 0-5 Sentence denotes Essay
T9 6-242 Sentence denotes As the world collectively navigates how to face the Coronavirus Disease 2019 (COVID-19) pandemic, it is crucial to highlight how low-income and post-conflict countries such as the Democratic Republic of Congo (DRC) experiences COVID-19.
T10 243-613 Sentence denotes More specifically, using the PEN-3 cultural model, we assessed the socio-cultural factors affecting public trust in the government and its agencies (i.e., the main regulator of public health in the country) prior to the announcement of the first reported COVID-19 case on March 10th 2020, one day before the World Health Organization declared the disease a pandemic [1].
T11 614-791 Sentence denotes The PEN-3 cultural model has been used as a guide to explore health issues by situating them within their socio-cultural contexts to inform policymakers or interventionists [2].
T12 792-1047 Sentence denotes The theoretical model was developed by Airhihenbuwa (1989) to examine culture and its impact on health behaviors and beliefs through the lens of three main domains, including cultural identity, relationships and expectations, and cultural empowerment [3].
T13 1048-1320 Sentence denotes For instance, the use of the relationships and expectations domain has proven to be insightful during the Ebola virus disease crisis, revealing revealed the perceptions and enabling/nurturing factors that exacerbated to or prevented Ebola Virus Disease-related stigma [4].
T14 1321-1577 Sentence denotes The Relationships and Expectations domain considers elements that influence health behaviors and decisions such as perceptions, enablers, and nurturers that increased public mistrust in the government and its health agencies among the Congolese population.
T15 1578-1761 Sentence denotes According to the PEN-3 model, perception is defined as beliefs, knowledge or attitudes about COVID-19 and health agencies that impact public trust into the Congolese institutions [5].
T16 1762-1991 Sentence denotes Prior to the announcement of the first ever reported case, there were reports circulating through newspapers in the DRC that people of Black descent and/or those living in hot and humid climates could not be infected by COVID-19.
T17 1992-2122 Sentence denotes These rumors were amplified by a Twitter post made by a preeminent member of parliament stating that “Coronovirus is a hoax!” [6].
T18 2123-2289 Sentence denotes Another rumor stated by a well-known evangelical pastor maintained that coronavirus was laboratory-made by multinational companies to control population on earth [7].
T19 2290-2452 Sentence denotes Enabling factors-another tenet of the PEN-3 model-refer to institutional support and assets at the structural level that foster or deter health-seeking practices.
T20 2453-2575 Sentence denotes Several lingering factors existing at the institutional level contribute to mistrust towards any governmental information.
T21 2576-2725 Sentence denotes In 2014, the DRC, through the government health initiative, built the second largest and well-equipped medical center in the capital city (Kinshasa).
T22 2726-2829 Sentence denotes Initially, this modern medical center wanted to be affordable and efficient for the general population.
T23 2830-2929 Sentence denotes Unfortunately, the hospital ended up performing poorly in terms of patient survival and safety [8].
T24 2930-3206 Sentence denotes Moreover, the high level of inefficiency and corruption present in the state apparatus (the country currently ranks at 168 out 180 country in the transparency international corruption index) is perceived as one of the largest hindrances towards a containment of COVID-19. [9].
T25 3207-3457 Sentence denotes This was illustrated by the statement “Anyone can easily enter the country without being tested in exchange for a payment” made during a presentation at the national assembly by one of the most senior virologists, a world-known Ebola researcher [10].
T26 3458-3692 Sentence denotes Following the PEN-3 cultural model, the influence of messages shared by local people that contribute mistrust of governmental agencies is classified as nurturers, which are the third tenet of the Relationships and Expectations domain.
T27 3693-3857 Sentence denotes Interestingly, it is now well understood that outbreaks can create a complex collective experience shared by communities that nurture health-seeking practices [11].
T28 3858-3970 Sentence denotes According to the World Bank, the DRC has 9% Internet penetration, representing an extremely low proportion [12].
T29 3971-4043 Sentence denotes However, communication through cell phones is much more widespread [13].
T30 4044-4141 Sentence denotes The use of memes, videos, screenshots sent via cellular phones intensified governmental mistrust.
T31 4142-4255 Sentence denotes In one of these videos, a music band sang a tune claiming that Coronavirus was created by Western countries [14].
T32 4256-4455 Sentence denotes Another video depicts young men appearing to be “Shegués”, (i.e., a Congolese term referring to a homeless child who lives on the street) stating that they will never be infected by Coronavirus [15].
T33 4456-4647 Sentence denotes A screenshot of Facebook post made by a famous Congolese journalist advised the inhalation of a well-known commercial topical Cough Suppressant in order to prevent any infection by the virus.
T34 4648-4826 Sentence denotes Consequently, despite limited official communication, confusion and mistrust gained ground in the general population following the announcement of the first DRC case of COVID-19.
T35 4827-4983 Sentence denotes Indeed, the first reported COVID-19 case in the DRC involved a Congolese citizen residing in France who had come to visit relatives in DRC two days earlier.
T36 4984-5313 Sentence denotes Unprepared to handle coronavirus cases-although local authorities have previously stated otherwise-the first case was forced into quarantine at a local hospital from which some patients and healthcare professionals ran away when they learned that a COVID-19 patient was admitted, creating an unprecedented chaotic situation [16].
T37 5314-5508 Sentence denotes Considering that the patient was asymptomatic and the lack of adequate communication from medical/health authorities, skepticism, suspicion, and mistrust increased within the general population.
T38 5509-5669 Sentence denotes Ultimately, it took the DRC government eight days after the first reported case to finally announce a series of stringent measures to tackle this pandemic [16].
T39 5670-5884 Sentence denotes These measures included the closing of all universities, schools for four weeks, the interdiction of all gatherings of more than 20 individuals and the suspension of all flights from coronavirus-infected countries.
T40 5885-6006 Sentence denotes At the date of this writing, DRC has now reported 45 COVID-19 cases, with three deaths due to disease complications [16].
T41 6007-6348 Sentence denotes In the near future, Congolese health leaders may have to build on the DRC past experience with the Ebola Virus Disease where local leaders and savoir-faire were used not only to contain the disease, but to also launch multi-media prevention campaign that addresses all the different inaccurate information currently spread in the population.

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
18 1154-1165 Species denotes Ebola virus Tax:1570291
19 58-82 Disease denotes Coronavirus Disease 2019 MESH:C000657245
20 84-92 Disease denotes COVID-19 MESH:C000657245
21 233-241 Disease denotes COVID-19 MESH:C000657245
22 498-506 Disease denotes COVID-19 MESH:C000657245
23 1287-1300 Disease denotes Virus Disease MESH:D001102
32 1887-1893 Species denotes people Tax:9606
33 2195-2206 Species denotes coronavirus Tax:11118
34 2897-2904 Species denotes patient Tax:9606
35 3435-3440 Species denotes Ebola Tax:1570291
36 1671-1679 Disease denotes COVID-19 MESH:C000657245
37 1970-1978 Disease denotes infected MESH:D007239
38 1982-1990 Disease denotes COVID-19 MESH:C000657245
39 3192-3200 Disease denotes COVID-19 MESH:C000657245
48 3536-3542 Species denotes people Tax:9606
49 4205-4216 Species denotes Coronavirus Tax:11118
50 4284-4287 Species denotes men Tax:9606
51 4363-4368 Species denotes child Tax:9606
52 4438-4449 Species denotes Coronavirus Tax:11118
53 4426-4434 Disease denotes infected MESH:D007239
54 4582-4587 Disease denotes Cough MESH:D003371
55 4624-4633 Disease denotes infection MESH:D007239
67 5005-5016 Species denotes coronavirus Tax:11118
68 5161-5169 Species denotes patients Tax:9606
69 5242-5249 Species denotes patient Tax:9606
70 5335-5342 Species denotes patient Tax:9606
71 4817-4825 Disease denotes COVID-19 MESH:C000657245
72 4854-4862 Disease denotes COVID-19 MESH:C000657245
73 5233-5241 Disease denotes COVID-19 MESH:C000657245
74 5853-5873 Disease denotes coronavirus-infected MESH:D018352
75 5938-5946 Disease denotes COVID-19 MESH:C000657245
76 5965-5971 Disease denotes deaths MESH:D003643
77 6112-6125 Disease denotes Virus Disease MESH:D001102