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LitCovid-PD-FMA-UBERON

Id Subject Object Predicate Lexical cue fma_id
T1 864-868 Body_part denotes face http://purl.org/sig/ont/fma/fma24728
T2 1744-1748 Body_part denotes lens http://purl.org/sig/ont/fma/fma58241
T3 4817-4821 Body_part denotes cell http://purl.org/sig/ont/fma/fma68646

LitCovid-PD-UBERON

Id Subject Object Predicate Lexical cue uberon_id
T1 864-868 Body_part denotes face http://purl.obolibrary.org/obo/UBERON_0001456

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T1 32-56 Disease denotes Coronavirus Disease 2019 http://purl.obolibrary.org/obo/MONDO_0100096
T2 58-66 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T3 241-246 Disease denotes Ebola http://purl.obolibrary.org/obo/MONDO_0005737
T4 341-365 Disease denotes Coronavirus Disease 2019 http://purl.obolibrary.org/obo/MONDO_0100096
T5 367-375 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T6 745-753 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T7 873-897 Disease denotes Coronavirus Disease 2019 http://purl.obolibrary.org/obo/MONDO_0100096
T8 899-907 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T9 1048-1056 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T10 1313-1321 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T11 1969-1988 Disease denotes Ebola virus disease http://purl.obolibrary.org/obo/MONDO_0005737
T12 2096-2101 Disease denotes Ebola http://purl.obolibrary.org/obo/MONDO_0005737
T13 2486-2494 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T14 2797-2805 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T15 4007-4015 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T16 4250-4255 Disease denotes Ebola http://purl.obolibrary.org/obo/MONDO_0005737
T17 5439-5448 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T18 5632-5640 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T19 5669-5677 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T20 6048-6056 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T21 6753-6761 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T22 6921-6926 Disease denotes Ebola http://purl.obolibrary.org/obo/MONDO_0005737

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T1 177-178 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T2 217-220 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T3 247-252 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes Virus
T4 864-868 http://purl.obolibrary.org/obo/UBERON_0001456 denotes face
T5 1379-1391 http://purl.obolibrary.org/obo/OBI_0000245 denotes Organization
T6 1413-1414 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T7 1454-1457 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T8 1471-1472 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T9 1744-1748 http://purl.obolibrary.org/obo/UBERON_0005389 denotes lens
T10 1930-1933 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T11 1975-1980 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T12 2102-2107 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes Virus
T13 2838-2839 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T14 2861-2862 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T15 2924-2925 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T16 2962-2963 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T17 3990-3991 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T18 4111-4117 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tested
T19 4134-4135 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T20 4157-4158 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T21 4236-4237 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T22 4575-4576 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T23 4668-4670 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11
T24 4710-4713 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T25 4755-4764 http://www.ebi.ac.uk/efo/EFO_0000876 denotes extremely
T26 4817-4821 http://purl.obolibrary.org/obo/GO_0005623 denotes cell
T27 4981-4982 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T28 4999-5000 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T29 5137-5138 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T30 5167-5168 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T31 5271-5272 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T32 5309-5310 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T33 5365-5366 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T34 5456-5461 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T35 5703-5704 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T36 5943-5944 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T37 6046-6047 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T38 6424-6425 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T39 6733-6736 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T40 6750-6752 http://purl.obolibrary.org/obo/CLO_0053799 denotes 45
T41 6927-6932 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes Virus

LitCovid-PD-CHEBI

Id Subject Object Predicate Lexical cue chebi_id
T1 85-87 Chemical denotes DR http://purl.obolibrary.org/obo/CHEBI_73445

LitCovid-PD-GO-BP

Id Subject Object Predicate Lexical cue
T1 1710-1719 http://purl.obolibrary.org/obo/GO_0007610 denotes behaviors
T2 2219-2228 http://purl.obolibrary.org/obo/GO_0007610 denotes behaviors
T3 4121-4129 http://purl.obolibrary.org/obo/GO_0015297 denotes exchange

LitCovid-PD-HP

Id Subject Object Predicate Lexical cue hp_id
T1 5397-5402 Phenotype denotes Cough http://purl.obolibrary.org/obo/HP_0012735

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T1 0-93 Sentence denotes Public trust in the time of the Coronavirus Disease 2019 (COVID-19): the case of the DR Congo
T2 96-104 Sentence denotes Abstract
T3 105-302 Sentence denotes Over the past half century, the Democratic Republic of the Congo (DRC), a low-income and post-conflict country, has experienced several Ebola Virus Disease outbreaks, with different fatality rates.
T4 303-386 Sentence denotes The DRC is currently experiencing the Coronavirus Disease 2019 (COVID-19) pandemic.
T5 387-523 Sentence denotes Using the PEN-3 cultural model, we assessed the socio-cultural factors affecting public trust in the government and its health agencies.
T6 524-699 Sentence denotes Results of this analysis revealed the perceptions, enablers, and nurturers that impacted public trust in the government and its health agencies among the Congolese population.
T7 700-813 Sentence denotes Future interventions designed to address the COVID-19 in the DRC should account for these socio-cultural factors.
T8 815-820 Sentence denotes Essay
T9 821-1057 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 1058-1428 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 1429-1606 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 1607-1862 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 1863-2135 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 2136-2392 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 2393-2576 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 2577-2806 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 2807-2937 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 2938-3104 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 3105-3267 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 3268-3390 Sentence denotes Several lingering factors existing at the institutional level contribute to mistrust towards any governmental information.
T21 3391-3540 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 3541-3644 Sentence denotes Initially, this modern medical center wanted to be affordable and efficient for the general population.
T23 3645-3744 Sentence denotes Unfortunately, the hospital ended up performing poorly in terms of patient survival and safety [8].
T24 3745-4021 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 4022-4272 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 4273-4507 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 4508-4672 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 4673-4785 Sentence denotes According to the World Bank, the DRC has 9% Internet penetration, representing an extremely low proportion [12].
T29 4786-4858 Sentence denotes However, communication through cell phones is much more widespread [13].
T30 4859-4956 Sentence denotes The use of memes, videos, screenshots sent via cellular phones intensified governmental mistrust.
T31 4957-5070 Sentence denotes In one of these videos, a music band sang a tune claiming that Coronavirus was created by Western countries [14].
T32 5071-5270 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 5271-5462 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 5463-5641 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 5642-5798 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 5799-6128 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 6129-6323 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 6324-6484 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 6485-6699 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 6700-6821 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 6822-7163 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.
T42 7165-7184 Sentence denotes Competing interests
T43 7185-7228 Sentence denotes The authors declare no competing interests.

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
2 32-56 Disease denotes Coronavirus Disease 2019 MESH:C000657245
3 58-66 Disease denotes COVID-19 MESH:C000657245
8 247-260 Disease denotes Virus Disease MESH:D001102
9 341-365 Disease denotes Coronavirus Disease 2019 MESH:C000657245
10 367-375 Disease denotes COVID-19 MESH:C000657245
11 745-753 Disease denotes COVID-19 MESH:C000657245
18 1969-1980 Species denotes Ebola virus Tax:1570291
19 873-897 Disease denotes Coronavirus Disease 2019 MESH:C000657245
20 899-907 Disease denotes COVID-19 MESH:C000657245
21 1048-1056 Disease denotes COVID-19 MESH:C000657245
22 1313-1321 Disease denotes COVID-19 MESH:C000657245
23 2102-2115 Disease denotes Virus Disease MESH:D001102
32 2702-2708 Species denotes people Tax:9606
33 3010-3021 Species denotes coronavirus Tax:11118
34 3712-3719 Species denotes patient Tax:9606
35 4250-4255 Species denotes Ebola Tax:1570291
36 2486-2494 Disease denotes COVID-19 MESH:C000657245
37 2785-2793 Disease denotes infected MESH:D007239
38 2797-2805 Disease denotes COVID-19 MESH:C000657245
39 4007-4015 Disease denotes COVID-19 MESH:C000657245
48 4351-4357 Species denotes people Tax:9606
49 5020-5031 Species denotes Coronavirus Tax:11118
50 5099-5102 Species denotes men Tax:9606
51 5178-5183 Species denotes child Tax:9606
52 5253-5264 Species denotes Coronavirus Tax:11118
53 5241-5249 Disease denotes infected MESH:D007239
54 5397-5402 Disease denotes Cough MESH:D003371
55 5439-5448 Disease denotes infection MESH:D007239
67 5820-5831 Species denotes coronavirus Tax:11118
68 5976-5984 Species denotes patients Tax:9606
69 6057-6064 Species denotes patient Tax:9606
70 6150-6157 Species denotes patient Tax:9606
71 5632-5640 Disease denotes COVID-19 MESH:C000657245
72 5669-5677 Disease denotes COVID-19 MESH:C000657245
73 6048-6056 Disease denotes COVID-19 MESH:C000657245
74 6668-6688 Disease denotes coronavirus-infected MESH:D018352
75 6753-6761 Disease denotes COVID-19 MESH:C000657245
76 6780-6786 Disease denotes deaths MESH:D003643
77 6927-6940 Disease denotes Virus Disease MESH:D001102