PMC:6988272 / 9300-10205 JSONTXT

{"project":"LitCovid-PubTator","denotations":[{"id":"144","span":{"begin":446,"end":452},"obj":"Disease"},{"id":"145","span":{"begin":498,"end":502},"obj":"Disease"},{"id":"146","span":{"begin":715,"end":720},"obj":"Disease"},{"id":"147","span":{"begin":764,"end":770},"obj":"Disease"}],"attributes":[{"id":"A144","pred":"tao:has_database_id","subj":"144","obj":"MESH:D003643"},{"id":"A145","pred":"tao:has_database_id","subj":"145","obj":"MESH:D003643"},{"id":"A146","pred":"tao:has_database_id","subj":"146","obj":"MESH:D003643"},{"id":"A147","pred":"tao:has_database_id","subj":"147","obj":"MESH:D003643"}],"namespaces":[{"prefix":"Tax","uri":"https://www.ncbi.nlm.nih.gov/taxonomy/"},{"prefix":"MESH","uri":"https://id.nlm.nih.gov/mesh/"},{"prefix":"Gene","uri":"https://www.ncbi.nlm.nih.gov/gene/"},{"prefix":"CVCL","uri":"https://web.expasy.org/cellosaurus/CVCL_"}],"text":"We estimated the hospital fatality risk, i.e. the risk of fatality among hospitalised cases [21] using the formula (fatal cases)/(fatal cases + recovered cases), which provides a more accurate early estimate of the hospital fatality risk compared with (fatal cases)/(all cases) [22]. We estimated the associated 95% CI for the hospital fatality risk using the binomial distribution. According to the update on 21 January 2020 when information on deaths and recoveries were reported, four cases had died while 25 had recovered, and our estimate of the hospital fatality risk is therefore 14% (95% CI: 3.9–32%). The estimate of the hospital fatality risk remained fairly stable over the 10 day period since the first death was announced on 11 January (Figure 2). If deaths continue to be reported without any corresponding increase in reported recoveries, the formula will overestimate the risk of fatality."}

{"project":"LitCovid-PMC-OGER-BB","denotations":[{"id":"T149","span":{"begin":446,"end":452},"obj":"GO:0016265"},{"id":"T148","span":{"begin":498,"end":502},"obj":"GO:0016265"},{"id":"T147","span":{"begin":715,"end":720},"obj":"GO:0016265"},{"id":"T146","span":{"begin":764,"end":770},"obj":"GO:0016265"}],"text":"We estimated the hospital fatality risk, i.e. the risk of fatality among hospitalised cases [21] using the formula (fatal cases)/(fatal cases + recovered cases), which provides a more accurate early estimate of the hospital fatality risk compared with (fatal cases)/(all cases) [22]. We estimated the associated 95% CI for the hospital fatality risk using the binomial distribution. According to the update on 21 January 2020 when information on deaths and recoveries were reported, four cases had died while 25 had recovered, and our estimate of the hospital fatality risk is therefore 14% (95% CI: 3.9–32%). The estimate of the hospital fatality risk remained fairly stable over the 10 day period since the first death was announced on 11 January (Figure 2). If deaths continue to be reported without any corresponding increase in reported recoveries, the formula will overestimate the risk of fatality."}

{"project":"LitCovid-PD-CLO","denotations":[{"id":"T72","span":{"begin":177,"end":178},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T73","span":{"begin":279,"end":281},"obj":"http://purl.obolibrary.org/obo/CLO_0050507"},{"id":"T74","span":{"begin":738,"end":740},"obj":"http://purl.obolibrary.org/obo/CLO_0053733"}],"text":"We estimated the hospital fatality risk, i.e. the risk of fatality among hospitalised cases [21] using the formula (fatal cases)/(fatal cases + recovered cases), which provides a more accurate early estimate of the hospital fatality risk compared with (fatal cases)/(all cases) [22]. We estimated the associated 95% CI for the hospital fatality risk using the binomial distribution. According to the update on 21 January 2020 when information on deaths and recoveries were reported, four cases had died while 25 had recovered, and our estimate of the hospital fatality risk is therefore 14% (95% CI: 3.9–32%). The estimate of the hospital fatality risk remained fairly stable over the 10 day period since the first death was announced on 11 January (Figure 2). If deaths continue to be reported without any corresponding increase in reported recoveries, the formula will overestimate the risk of fatality."}

{"project":"LitCovid-sentences","denotations":[{"id":"T66","span":{"begin":0,"end":283},"obj":"Sentence"},{"id":"T67","span":{"begin":284,"end":382},"obj":"Sentence"},{"id":"T68","span":{"begin":383,"end":599},"obj":"Sentence"},{"id":"T69","span":{"begin":600,"end":609},"obj":"Sentence"},{"id":"T70","span":{"begin":610,"end":760},"obj":"Sentence"},{"id":"T71","span":{"begin":761,"end":905},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"We estimated the hospital fatality risk, i.e. the risk of fatality among hospitalised cases [21] using the formula (fatal cases)/(fatal cases + recovered cases), which provides a more accurate early estimate of the hospital fatality risk compared with (fatal cases)/(all cases) [22]. We estimated the associated 95% CI for the hospital fatality risk using the binomial distribution. According to the update on 21 January 2020 when information on deaths and recoveries were reported, four cases had died while 25 had recovered, and our estimate of the hospital fatality risk is therefore 14% (95% CI: 3.9–32%). The estimate of the hospital fatality risk remained fairly stable over the 10 day period since the first death was announced on 11 January (Figure 2). If deaths continue to be reported without any corresponding increase in reported recoveries, the formula will overestimate the risk of fatality."}

{"project":"MyTest","denotations":[{"id":"31992388-23803487-29332091","span":{"begin":93,"end":95},"obj":"23803487"},{"id":"31992388-16076827-29332092","span":{"begin":279,"end":281},"obj":"16076827"}],"namespaces":[{"prefix":"_base","uri":"https://www.uniprot.org/uniprot/testbase"},{"prefix":"UniProtKB","uri":"https://www.uniprot.org/uniprot/"},{"prefix":"uniprot","uri":"https://www.uniprot.org/uniprotkb/"}],"text":"We estimated the hospital fatality risk, i.e. the risk of fatality among hospitalised cases [21] using the formula (fatal cases)/(fatal cases + recovered cases), which provides a more accurate early estimate of the hospital fatality risk compared with (fatal cases)/(all cases) [22]. We estimated the associated 95% CI for the hospital fatality risk using the binomial distribution. According to the update on 21 January 2020 when information on deaths and recoveries were reported, four cases had died while 25 had recovered, and our estimate of the hospital fatality risk is therefore 14% (95% CI: 3.9–32%). The estimate of the hospital fatality risk remained fairly stable over the 10 day period since the first death was announced on 11 January (Figure 2). If deaths continue to be reported without any corresponding increase in reported recoveries, the formula will overestimate the risk of fatality."}

{"project":"2_test","denotations":[{"id":"31992388-23803487-29332091","span":{"begin":93,"end":95},"obj":"23803487"},{"id":"31992388-16076827-29332092","span":{"begin":279,"end":281},"obj":"16076827"}],"text":"We estimated the hospital fatality risk, i.e. the risk of fatality among hospitalised cases [21] using the formula (fatal cases)/(fatal cases + recovered cases), which provides a more accurate early estimate of the hospital fatality risk compared with (fatal cases)/(all cases) [22]. We estimated the associated 95% CI for the hospital fatality risk using the binomial distribution. According to the update on 21 January 2020 when information on deaths and recoveries were reported, four cases had died while 25 had recovered, and our estimate of the hospital fatality risk is therefore 14% (95% CI: 3.9–32%). The estimate of the hospital fatality risk remained fairly stable over the 10 day period since the first death was announced on 11 January (Figure 2). If deaths continue to be reported without any corresponding increase in reported recoveries, the formula will overestimate the risk of fatality."}