PMC:7001239 / 9031-9654 JSONTXT

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    LitCovid-PubTator

    {"project":"LitCovid-PubTator","denotations":[{"id":"119","span":{"begin":111,"end":133},"obj":"Species"},{"id":"122","span":{"begin":176,"end":228},"obj":"Species"},{"id":"123","span":{"begin":236,"end":289},"obj":"Species"},{"id":"128","span":{"begin":518,"end":523},"obj":"Species"},{"id":"129","span":{"begin":527,"end":532},"obj":"Species"},{"id":"130","span":{"begin":549,"end":557},"obj":"Species"},{"id":"131","span":{"begin":604,"end":613},"obj":"Species"}],"attributes":[{"id":"A119","pred":"tao:has_database_id","subj":"119","obj":"Tax:2697049"},{"id":"A122","pred":"tao:has_database_id","subj":"122","obj":"Tax:1335626"},{"id":"A123","pred":"tao:has_database_id","subj":"123","obj":"Tax:694009"},{"id":"A128","pred":"tao:has_database_id","subj":"128","obj":"Tax:9606"},{"id":"A129","pred":"tao:has_database_id","subj":"129","obj":"Tax:9606"},{"id":"A130","pred":"tao:has_database_id","subj":"130","obj":"Tax:694009"},{"id":"A131","pred":"tao:has_database_id","subj":"131","obj":"Tax:11308"}],"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":"Figure 3 Proportion of simulated epidemics that lead to a cumulative incidence between 1,000 and 9,700 of the 2019 novel coronavirus outbreak, China, on 18 January 2020\nMERS: Middle East respiratory syndrome-related coronavirus; SARS: severe acute respiratory syndrome-related coronavirus.\nThis can be interpreted as the combinations of R0 and k values most compatible with the estimation of epidemic size before quarantine measures were put in place. As a comparison, we show the estimates of R0 and k for the early human-to-human transmission of SARS-CoV in Singapore and Beijing and of 1918 pandemic influenza [7,9,14]."}

    LitCovid-PD-MONDO

    {"project":"LitCovid-PD-MONDO","denotations":[{"id":"T10","span":{"begin":230,"end":234},"obj":"Disease"},{"id":"T11","span":{"begin":236,"end":269},"obj":"Disease"},{"id":"T12","span":{"begin":549,"end":557},"obj":"Disease"},{"id":"T13","span":{"begin":604,"end":613},"obj":"Disease"}],"attributes":[{"id":"A10","pred":"mondo_id","subj":"T10","obj":"http://purl.obolibrary.org/obo/MONDO_0005091"},{"id":"A11","pred":"mondo_id","subj":"T11","obj":"http://purl.obolibrary.org/obo/MONDO_0005091"},{"id":"A12","pred":"mondo_id","subj":"T12","obj":"http://purl.obolibrary.org/obo/MONDO_0005091"},{"id":"A13","pred":"mondo_id","subj":"T13","obj":"http://purl.obolibrary.org/obo/MONDO_0005812"}],"text":"Figure 3 Proportion of simulated epidemics that lead to a cumulative incidence between 1,000 and 9,700 of the 2019 novel coronavirus outbreak, China, on 18 January 2020\nMERS: Middle East respiratory syndrome-related coronavirus; SARS: severe acute respiratory syndrome-related coronavirus.\nThis can be interpreted as the combinations of R0 and k values most compatible with the estimation of epidemic size before quarantine measures were put in place. As a comparison, we show the estimates of R0 and k for the early human-to-human transmission of SARS-CoV in Singapore and Beijing and of 1918 pandemic influenza [7,9,14]."}

    LitCovid-PD-CLO

    {"project":"LitCovid-PD-CLO","denotations":[{"id":"T81","span":{"begin":57,"end":58},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T82","span":{"begin":154,"end":156},"obj":"http://purl.obolibrary.org/obo/CLO_0050510"},{"id":"T83","span":{"begin":456,"end":457},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T84","span":{"begin":518,"end":523},"obj":"http://purl.obolibrary.org/obo/NCBITaxon_9606"},{"id":"T85","span":{"begin":527,"end":532},"obj":"http://purl.obolibrary.org/obo/NCBITaxon_9606"}],"text":"Figure 3 Proportion of simulated epidemics that lead to a cumulative incidence between 1,000 and 9,700 of the 2019 novel coronavirus outbreak, China, on 18 January 2020\nMERS: Middle East respiratory syndrome-related coronavirus; SARS: severe acute respiratory syndrome-related coronavirus.\nThis can be interpreted as the combinations of R0 and k values most compatible with the estimation of epidemic size before quarantine measures were put in place. As a comparison, we show the estimates of R0 and k for the early human-to-human transmission of SARS-CoV in Singapore and Beijing and of 1918 pandemic influenza [7,9,14]."}

    LitCovid-sentences

    {"project":"LitCovid-sentences","denotations":[{"id":"T70","span":{"begin":0,"end":169},"obj":"Sentence"},{"id":"T71","span":{"begin":170,"end":175},"obj":"Sentence"},{"id":"T72","span":{"begin":176,"end":290},"obj":"Sentence"},{"id":"T73","span":{"begin":291,"end":452},"obj":"Sentence"},{"id":"T74","span":{"begin":453,"end":623},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"Figure 3 Proportion of simulated epidemics that lead to a cumulative incidence between 1,000 and 9,700 of the 2019 novel coronavirus outbreak, China, on 18 January 2020\nMERS: Middle East respiratory syndrome-related coronavirus; SARS: severe acute respiratory syndrome-related coronavirus.\nThis can be interpreted as the combinations of R0 and k values most compatible with the estimation of epidemic size before quarantine measures were put in place. As a comparison, we show the estimates of R0 and k for the early human-to-human transmission of SARS-CoV in Singapore and Beijing and of 1918 pandemic influenza [7,9,14]."}

    2_test

    {"project":"2_test","denotations":[{"id":"32019669-16292310-29338354","span":{"begin":615,"end":616},"obj":"16292310"},{"id":"32019669-26132768-29338355","span":{"begin":617,"end":618},"obj":"26132768"},{"id":"32019669-21749971-29338356","span":{"begin":619,"end":621},"obj":"21749971"}],"text":"Figure 3 Proportion of simulated epidemics that lead to a cumulative incidence between 1,000 and 9,700 of the 2019 novel coronavirus outbreak, China, on 18 January 2020\nMERS: Middle East respiratory syndrome-related coronavirus; SARS: severe acute respiratory syndrome-related coronavirus.\nThis can be interpreted as the combinations of R0 and k values most compatible with the estimation of epidemic size before quarantine measures were put in place. As a comparison, we show the estimates of R0 and k for the early human-to-human transmission of SARS-CoV in Singapore and Beijing and of 1918 pandemic influenza [7,9,14]."}

    MyTest

    {"project":"MyTest","denotations":[{"id":"32019669-16292310-29338354","span":{"begin":615,"end":616},"obj":"16292310"},{"id":"32019669-26132768-29338355","span":{"begin":617,"end":618},"obj":"26132768"},{"id":"32019669-21749971-29338356","span":{"begin":619,"end":621},"obj":"21749971"}],"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":"Figure 3 Proportion of simulated epidemics that lead to a cumulative incidence between 1,000 and 9,700 of the 2019 novel coronavirus outbreak, China, on 18 January 2020\nMERS: Middle East respiratory syndrome-related coronavirus; SARS: severe acute respiratory syndrome-related coronavirus.\nThis can be interpreted as the combinations of R0 and k values most compatible with the estimation of epidemic size before quarantine measures were put in place. As a comparison, we show the estimates of R0 and k for the early human-to-human transmission of SARS-CoV in Singapore and Beijing and of 1918 pandemic influenza [7,9,14]."}