PMC:7001239 / 6259-7765 JSONTXT

{"project":"LitCovid-PubTator","denotations":[{"id":"71","span":{"begin":146,"end":151},"obj":"Species"},{"id":"72","span":{"begin":155,"end":160},"obj":"Species"},{"id":"73","span":{"begin":177,"end":186},"obj":"Species"},{"id":"74","span":{"begin":101,"end":109},"obj":"Disease"},{"id":"75","span":{"begin":675,"end":683},"obj":"Disease"},{"id":"77","span":{"begin":778,"end":800},"obj":"Species"},{"id":"80","span":{"begin":883,"end":888},"obj":"Species"},{"id":"81","span":{"begin":892,"end":897},"obj":"Species"},{"id":"83","span":{"begin":1181,"end":1203},"obj":"Species"}],"attributes":[{"id":"A71","pred":"tao:has_database_id","subj":"71","obj":"Tax:9606"},{"id":"A72","pred":"tao:has_database_id","subj":"72","obj":"Tax:9606"},{"id":"A73","pred":"tao:has_database_id","subj":"73","obj":"Tax:2697049"},{"id":"A74","pred":"tao:has_database_id","subj":"74","obj":"MESH:D007239"},{"id":"A75","pred":"tao:has_database_id","subj":"75","obj":"MESH:D015047"},{"id":"A77","pred":"tao:has_database_id","subj":"77","obj":"Tax:2697049"},{"id":"A80","pred":"tao:has_database_id","subj":"80","obj":"Tax:9606"},{"id":"A81","pred":"tao:has_database_id","subj":"81","obj":"Tax:9606"},{"id":"A83","pred":"tao:has_database_id","subj":"83","obj":"Tax:2697049"}],"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":"Transmission characteristics of the 2019 novel coronavirus\nIn order to reach between 1,000 and 9,700 infected cases by 18 January 2020, the early human-to-human transmission of 2019-nCoV was characterised by values of R0 around 2.2 (median value, with 90% high density interval: 1.4–3.8) (Figure 1). The observed data at this point are compatible with a large range of values for the dispersion parameter k (median: 0.54, 90% high density interval: 0.014–6.95). However, our simulations suggest that very low values of k are less likely. These estimates incorporate the uncertainty about the total epidemic size on 18 January 2020 and about the date and scale of the initial zoonotic event (Figure 2).\nFigure 1 Values of R0 and k most compatible with the estimated size of the 2019 novel coronavirus epidemic in China, on 18 January 2020\nThe basic reproduction number R0 quantifies human-to-human transmission. The dispersion parameter k quantifies the risk of a superspreading event (lower values of k are linked to a higher probability of superspreading). Note that the probability density of k implies a log10 transformation.\nFigure 2 Illustration of the simulation strategy, 2019 novel coronavirus outbreak, China, 2019–2020\nThe lines represent the cumulative incidence of 480 simulations with R0 = 1.8 and k = 1.13. The other parameters are left to vary according to the Table. Among these simulated epidemics, 54.3% led to a cumulative incidence between 1,000 and 9,700 on 18 January 2020 (in red)."}

{"project":"LitCovid-PD-UBERON","denotations":[{"id":"T2","span":{"begin":654,"end":659},"obj":"Body_part"}],"attributes":[{"id":"A2","pred":"uberon_id","subj":"T2","obj":"http://purl.obolibrary.org/obo/UBERON_0002542"}],"text":"Transmission characteristics of the 2019 novel coronavirus\nIn order to reach between 1,000 and 9,700 infected cases by 18 January 2020, the early human-to-human transmission of 2019-nCoV was characterised by values of R0 around 2.2 (median value, with 90% high density interval: 1.4–3.8) (Figure 1). The observed data at this point are compatible with a large range of values for the dispersion parameter k (median: 0.54, 90% high density interval: 0.014–6.95). However, our simulations suggest that very low values of k are less likely. These estimates incorporate the uncertainty about the total epidemic size on 18 January 2020 and about the date and scale of the initial zoonotic event (Figure 2).\nFigure 1 Values of R0 and k most compatible with the estimated size of the 2019 novel coronavirus epidemic in China, on 18 January 2020\nThe basic reproduction number R0 quantifies human-to-human transmission. The dispersion parameter k quantifies the risk of a superspreading event (lower values of k are linked to a higher probability of superspreading). Note that the probability density of k implies a log10 transformation.\nFigure 2 Illustration of the simulation strategy, 2019 novel coronavirus outbreak, China, 2019–2020\nThe lines represent the cumulative incidence of 480 simulations with R0 = 1.8 and k = 1.13. The other parameters are left to vary according to the Table. Among these simulated epidemics, 54.3% led to a cumulative incidence between 1,000 and 9,700 on 18 January 2020 (in red)."}

{"project":"LitCovid-PD-CLO","denotations":[{"id":"T56","span":{"begin":119,"end":121},"obj":"http://purl.obolibrary.org/obo/CLO_0050510"},{"id":"T57","span":{"begin":146,"end":151},"obj":"http://purl.obolibrary.org/obo/NCBITaxon_9606"},{"id":"T58","span":{"begin":155,"end":160},"obj":"http://purl.obolibrary.org/obo/NCBITaxon_9606"},{"id":"T59","span":{"begin":352,"end":353},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T60","span":{"begin":615,"end":617},"obj":"http://purl.obolibrary.org/obo/CLO_0050510"},{"id":"T61","span":{"begin":823,"end":825},"obj":"http://purl.obolibrary.org/obo/CLO_0050510"},{"id":"T62","span":{"begin":883,"end":888},"obj":"http://purl.obolibrary.org/obo/NCBITaxon_9606"},{"id":"T63","span":{"begin":892,"end":897},"obj":"http://purl.obolibrary.org/obo/NCBITaxon_9606"},{"id":"T64","span":{"begin":962,"end":963},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T65","span":{"begin":1018,"end":1019},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T66","span":{"begin":1106,"end":1107},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T67","span":{"begin":1431,"end":1432},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T68","span":{"begin":1481,"end":1483},"obj":"http://purl.obolibrary.org/obo/CLO_0050510"}],"text":"Transmission characteristics of the 2019 novel coronavirus\nIn order to reach between 1,000 and 9,700 infected cases by 18 January 2020, the early human-to-human transmission of 2019-nCoV was characterised by values of R0 around 2.2 (median value, with 90% high density interval: 1.4–3.8) (Figure 1). The observed data at this point are compatible with a large range of values for the dispersion parameter k (median: 0.54, 90% high density interval: 0.014–6.95). However, our simulations suggest that very low values of k are less likely. These estimates incorporate the uncertainty about the total epidemic size on 18 January 2020 and about the date and scale of the initial zoonotic event (Figure 2).\nFigure 1 Values of R0 and k most compatible with the estimated size of the 2019 novel coronavirus epidemic in China, on 18 January 2020\nThe basic reproduction number R0 quantifies human-to-human transmission. The dispersion parameter k quantifies the risk of a superspreading event (lower values of k are linked to a higher probability of superspreading). Note that the probability density of k implies a log10 transformation.\nFigure 2 Illustration of the simulation strategy, 2019 novel coronavirus outbreak, China, 2019–2020\nThe lines represent the cumulative incidence of 480 simulations with R0 = 1.8 and k = 1.13. The other parameters are left to vary according to the Table. Among these simulated epidemics, 54.3% led to a cumulative incidence between 1,000 and 9,700 on 18 January 2020 (in red)."}

{"project":"LitCovid-PD-GO-BP","denotations":[{"id":"T5","span":{"begin":849,"end":861},"obj":"http://purl.obolibrary.org/obo/GO_0000003"}],"text":"Transmission characteristics of the 2019 novel coronavirus\nIn order to reach between 1,000 and 9,700 infected cases by 18 January 2020, the early human-to-human transmission of 2019-nCoV was characterised by values of R0 around 2.2 (median value, with 90% high density interval: 1.4–3.8) (Figure 1). The observed data at this point are compatible with a large range of values for the dispersion parameter k (median: 0.54, 90% high density interval: 0.014–6.95). However, our simulations suggest that very low values of k are less likely. These estimates incorporate the uncertainty about the total epidemic size on 18 January 2020 and about the date and scale of the initial zoonotic event (Figure 2).\nFigure 1 Values of R0 and k most compatible with the estimated size of the 2019 novel coronavirus epidemic in China, on 18 January 2020\nThe basic reproduction number R0 quantifies human-to-human transmission. The dispersion parameter k quantifies the risk of a superspreading event (lower values of k are linked to a higher probability of superspreading). Note that the probability density of k implies a log10 transformation.\nFigure 2 Illustration of the simulation strategy, 2019 novel coronavirus outbreak, China, 2019–2020\nThe lines represent the cumulative incidence of 480 simulations with R0 = 1.8 and k = 1.13. The other parameters are left to vary according to the Table. Among these simulated epidemics, 54.3% led to a cumulative incidence between 1,000 and 9,700 on 18 January 2020 (in red)."}

{"project":"LitCovid-sentences","denotations":[{"id":"T45","span":{"begin":0,"end":58},"obj":"Sentence"},{"id":"T46","span":{"begin":59,"end":278},"obj":"Sentence"},{"id":"T47","span":{"begin":279,"end":299},"obj":"Sentence"},{"id":"T48","span":{"begin":300,"end":415},"obj":"Sentence"},{"id":"T49","span":{"begin":416,"end":448},"obj":"Sentence"},{"id":"T50","span":{"begin":449,"end":461},"obj":"Sentence"},{"id":"T51","span":{"begin":462,"end":537},"obj":"Sentence"},{"id":"T52","span":{"begin":538,"end":701},"obj":"Sentence"},{"id":"T53","span":{"begin":702,"end":838},"obj":"Sentence"},{"id":"T54","span":{"begin":839,"end":911},"obj":"Sentence"},{"id":"T55","span":{"begin":912,"end":1058},"obj":"Sentence"},{"id":"T56","span":{"begin":1059,"end":1129},"obj":"Sentence"},{"id":"T57","span":{"begin":1130,"end":1230},"obj":"Sentence"},{"id":"T58","span":{"begin":1231,"end":1322},"obj":"Sentence"},{"id":"T59","span":{"begin":1323,"end":1384},"obj":"Sentence"},{"id":"T60","span":{"begin":1385,"end":1506},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"Transmission characteristics of the 2019 novel coronavirus\nIn order to reach between 1,000 and 9,700 infected cases by 18 January 2020, the early human-to-human transmission of 2019-nCoV was characterised by values of R0 around 2.2 (median value, with 90% high density interval: 1.4–3.8) (Figure 1). The observed data at this point are compatible with a large range of values for the dispersion parameter k (median: 0.54, 90% high density interval: 0.014–6.95). However, our simulations suggest that very low values of k are less likely. These estimates incorporate the uncertainty about the total epidemic size on 18 January 2020 and about the date and scale of the initial zoonotic event (Figure 2).\nFigure 1 Values of R0 and k most compatible with the estimated size of the 2019 novel coronavirus epidemic in China, on 18 January 2020\nThe basic reproduction number R0 quantifies human-to-human transmission. The dispersion parameter k quantifies the risk of a superspreading event (lower values of k are linked to a higher probability of superspreading). Note that the probability density of k implies a log10 transformation.\nFigure 2 Illustration of the simulation strategy, 2019 novel coronavirus outbreak, China, 2019–2020\nThe lines represent the cumulative incidence of 480 simulations with R0 = 1.8 and k = 1.13. The other parameters are left to vary according to the Table. Among these simulated epidemics, 54.3% led to a cumulative incidence between 1,000 and 9,700 on 18 January 2020 (in red)."}