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PMC:6988272 / 15439-16569 JSONTXT

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LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
286 167-175 Species denotes SARS-CoV Tax:694009
287 101-106 Disease denotes death MESH:D003643
288 180-199 Disease denotes MERS-CoV infections MESH:D018352
289 420-425 Disease denotes death MESH:D003643
290 430-440 Disease denotes infections MESH:D007239
291 472-476 Disease denotes SARS MESH:D045169
292 524-529 Disease denotes death MESH:D003643
293 807-811 Disease denotes died MESH:D003643
294 1042-1052 Disease denotes infections MESH:D007239
295 1075-1084 Disease denotes infection MESH:D007239

LitCovid-PMC-OGER-BB

Id Subject Object Predicate Lexical cue
T195 101-106 GO:0016265 denotes death
T194 167-175 SP_10 denotes SARS-CoV
T193 180-188 SP_9 denotes MERS-CoV
T192 420-425 GO:0016265 denotes death
T191 472-476 SP_10 denotes SARS
T190 524-529 GO:0016265 denotes death
T189 807-811 GO:0016265 denotes died

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T56 167-175 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T57 189-199 Disease denotes infections http://purl.obolibrary.org/obo/MONDO_0005550
T58 430-440 Disease denotes infections http://purl.obolibrary.org/obo/MONDO_0005550
T59 472-476 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T60 1042-1055 Disease denotes infections in http://purl.obolibrary.org/obo/MONDO_0005550
T61 1075-1084 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T129 744-746 http://purl.obolibrary.org/obo/CLO_0050509 denotes 27
T130 997-998 http://purl.obolibrary.org/obo/CLO_0001020 denotes a

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T106 0-75 Sentence denotes It is challenging to judge severity from the information available to date.
T107 76-157 Sentence denotes We estimated the risk of death among hospitalised cases of around 14% (Figure 2).
T108 158-316 Sentence denotes For both SARS-CoV and MERS-CoV infections, the risk of severe disease increases substantially with age and with the presence of underlying conditions [23-25].
T109 317-467 Sentence denotes One other caveat with estimating severity is that there can be long delays between hospitalisation and death for infections that are ultimately fatal.
T110 468-563 Sentence denotes For SARS in Hong Kong, the average time from illness to death for fatal cases was 24 days [26].
T111 564-748 Sentence denotes This means that early estimates of the case fatality risk that ignore the potential outcomes of cases still in hospital are typically underestimates of the final severity profile [27].
T112 749-871 Sentence denotes We accounted for that by only including cases that either died or recovered in our estimate of the hospital fatality risk.
T113 872-1130 Sentence denotes Given that the cases reported outside Wuhan have mostly not been severe, it would be reasonable to infer that there might be a large number of undetected relatively mild infections in Wuhan and that the infection fatality risk is below 1% or even below 0.1%.

MyTest

Id Subject Object Predicate Lexical cue
31992388-16864761-29332093 309-311 16864761 denotes 23
31992388-20205928-29332093 309-311 20205928 denotes 23
31992388-29680581-29332093 309-311 29680581 denotes 23
31992388-15520422-29332094 559-561 15520422 denotes 26
31992388-16981181-29332095 744-746 16981181 denotes 27

2_test

Id Subject Object Predicate Lexical cue
31992388-16864761-29332093 309-311 16864761 denotes 23
31992388-20205928-29332093 309-311 20205928 denotes 23
31992388-29680581-29332093 309-311 29680581 denotes 23
31992388-15520422-29332094 559-561 15520422 denotes 26
31992388-16981181-29332095 744-746 16981181 denotes 27