PMC:7001239 / 11979-13242 JSONTXT

{"project":"LitCovid-PubTator","denotations":[{"id":"169","span":{"begin":297,"end":306},"obj":"Species"},{"id":"170","span":{"begin":472,"end":477},"obj":"Species"},{"id":"171","span":{"begin":657,"end":662},"obj":"Species"},{"id":"172","span":{"begin":666,"end":671},"obj":"Species"},{"id":"173","span":{"begin":692,"end":701},"obj":"Species"},{"id":"174","span":{"begin":862,"end":875},"obj":"Species"},{"id":"175","span":{"begin":398,"end":406},"obj":"Disease"}],"attributes":[{"id":"A169","pred":"tao:has_database_id","subj":"169","obj":"Tax:2697049"},{"id":"A170","pred":"tao:has_database_id","subj":"170","obj":"Tax:9606"},{"id":"A171","pred":"tao:has_database_id","subj":"171","obj":"Tax:9606"},{"id":"A172","pred":"tao:has_database_id","subj":"172","obj":"Tax:9606"},{"id":"A173","pred":"tao:has_database_id","subj":"173","obj":"Tax:2697049"},{"id":"A174","pred":"tao:has_database_id","subj":"174","obj":"Tax:11118"},{"id":"A175","pred":"tao:has_database_id","subj":"175","obj":"MESH:D015047"}],"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":"Our analysis, while limited because of the scarcity of data, has two important strengths. Firstly, it is based on the simulation of a wide range of possibilities regarding epidemic parameters and allows for the full propagation on the final estimates of the many remaining uncertainties regarding 2019-nCoV and the situation in Wuhan: on the actual size of the epidemic, on the size of the initial zoonotic event at the wet market, on the date(s) of the initial animal-to-human transmission event(s) and on the generation time interval. As it accounts for all these uncertainties, our analysis provides a summary of the current state of knowledge about the human-to-human transmissibility of 2019-nCoV. Secondly, its focus on the possibility of superspreading events by using negative-binomial offspring distributions appears relevant in the context of emerging coronaviruses [7,8]. While our estimate of k remains imprecise, the simulations suggest that very low values of k \u003c 0.1 are less likely than higher values \u003c 0.1 that correspond to a more homogeneous transmission pattern. However, values of k in the range of 0.1–0.2 are still compatible with a small risk of occurrence of large superspreading events, especially impactful in hospital settings [15,16]."}

{"project":"LitCovid-PD-CLO","denotations":[{"id":"T98","span":{"begin":61,"end":64},"obj":"http://purl.obolibrary.org/obo/CLO_0051582"},{"id":"T99","span":{"begin":132,"end":133},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T100","span":{"begin":462,"end":468},"obj":"http://purl.obolibrary.org/obo/NCBITaxon_33208"},{"id":"T101","span":{"begin":472,"end":477},"obj":"http://purl.obolibrary.org/obo/NCBITaxon_9606"},{"id":"T102","span":{"begin":603,"end":604},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T103","span":{"begin":657,"end":662},"obj":"http://purl.obolibrary.org/obo/NCBITaxon_9606"},{"id":"T104","span":{"begin":666,"end":671},"obj":"http://purl.obolibrary.org/obo/NCBITaxon_9606"},{"id":"T105","span":{"begin":717,"end":722},"obj":"http://purl.obolibrary.org/obo/CLO_0009985"},{"id":"T106","span":{"begin":1042,"end":1043},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T107","span":{"begin":1154,"end":1155},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"}],"text":"Our analysis, while limited because of the scarcity of data, has two important strengths. Firstly, it is based on the simulation of a wide range of possibilities regarding epidemic parameters and allows for the full propagation on the final estimates of the many remaining uncertainties regarding 2019-nCoV and the situation in Wuhan: on the actual size of the epidemic, on the size of the initial zoonotic event at the wet market, on the date(s) of the initial animal-to-human transmission event(s) and on the generation time interval. As it accounts for all these uncertainties, our analysis provides a summary of the current state of knowledge about the human-to-human transmissibility of 2019-nCoV. Secondly, its focus on the possibility of superspreading events by using negative-binomial offspring distributions appears relevant in the context of emerging coronaviruses [7,8]. While our estimate of k remains imprecise, the simulations suggest that very low values of k \u003c 0.1 are less likely than higher values \u003c 0.1 that correspond to a more homogeneous transmission pattern. However, values of k in the range of 0.1–0.2 are still compatible with a small risk of occurrence of large superspreading events, especially impactful in hospital settings [15,16]."}

{"project":"LitCovid-sentences","denotations":[{"id":"T88","span":{"begin":0,"end":89},"obj":"Sentence"},{"id":"T89","span":{"begin":90,"end":536},"obj":"Sentence"},{"id":"T90","span":{"begin":537,"end":702},"obj":"Sentence"},{"id":"T91","span":{"begin":703,"end":882},"obj":"Sentence"},{"id":"T92","span":{"begin":883,"end":1082},"obj":"Sentence"},{"id":"T93","span":{"begin":1083,"end":1263},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"Our analysis, while limited because of the scarcity of data, has two important strengths. Firstly, it is based on the simulation of a wide range of possibilities regarding epidemic parameters and allows for the full propagation on the final estimates of the many remaining uncertainties regarding 2019-nCoV and the situation in Wuhan: on the actual size of the epidemic, on the size of the initial zoonotic event at the wet market, on the date(s) of the initial animal-to-human transmission event(s) and on the generation time interval. As it accounts for all these uncertainties, our analysis provides a summary of the current state of knowledge about the human-to-human transmissibility of 2019-nCoV. Secondly, its focus on the possibility of superspreading events by using negative-binomial offspring distributions appears relevant in the context of emerging coronaviruses [7,8]. While our estimate of k remains imprecise, the simulations suggest that very low values of k \u003c 0.1 are less likely than higher values \u003c 0.1 that correspond to a more homogeneous transmission pattern. However, values of k in the range of 0.1–0.2 are still compatible with a small risk of occurrence of large superspreading events, especially impactful in hospital settings [15,16]."}

{"project":"2_test","denotations":[{"id":"32019669-16292310-29338359","span":{"begin":877,"end":878},"obj":"16292310"},{"id":"32019669-25932579-29338360","span":{"begin":879,"end":880},"obj":"25932579"},{"id":"32019669-26539018-29338361","span":{"begin":1256,"end":1258},"obj":"26539018"},{"id":"32019669-23782161-29338362","span":{"begin":1259,"end":1261},"obj":"23782161"}],"text":"Our analysis, while limited because of the scarcity of data, has two important strengths. Firstly, it is based on the simulation of a wide range of possibilities regarding epidemic parameters and allows for the full propagation on the final estimates of the many remaining uncertainties regarding 2019-nCoV and the situation in Wuhan: on the actual size of the epidemic, on the size of the initial zoonotic event at the wet market, on the date(s) of the initial animal-to-human transmission event(s) and on the generation time interval. As it accounts for all these uncertainties, our analysis provides a summary of the current state of knowledge about the human-to-human transmissibility of 2019-nCoV. Secondly, its focus on the possibility of superspreading events by using negative-binomial offspring distributions appears relevant in the context of emerging coronaviruses [7,8]. While our estimate of k remains imprecise, the simulations suggest that very low values of k \u003c 0.1 are less likely than higher values \u003c 0.1 that correspond to a more homogeneous transmission pattern. However, values of k in the range of 0.1–0.2 are still compatible with a small risk of occurrence of large superspreading events, especially impactful in hospital settings [15,16]."}

{"project":"MyTest","denotations":[{"id":"32019669-16292310-29338359","span":{"begin":877,"end":878},"obj":"16292310"},{"id":"32019669-25932579-29338360","span":{"begin":879,"end":880},"obj":"25932579"},{"id":"32019669-26539018-29338361","span":{"begin":1256,"end":1258},"obj":"26539018"},{"id":"32019669-23782161-29338362","span":{"begin":1259,"end":1261},"obj":"23782161"}],"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":"Our analysis, while limited because of the scarcity of data, has two important strengths. Firstly, it is based on the simulation of a wide range of possibilities regarding epidemic parameters and allows for the full propagation on the final estimates of the many remaining uncertainties regarding 2019-nCoV and the situation in Wuhan: on the actual size of the epidemic, on the size of the initial zoonotic event at the wet market, on the date(s) of the initial animal-to-human transmission event(s) and on the generation time interval. As it accounts for all these uncertainties, our analysis provides a summary of the current state of knowledge about the human-to-human transmissibility of 2019-nCoV. Secondly, its focus on the possibility of superspreading events by using negative-binomial offspring distributions appears relevant in the context of emerging coronaviruses [7,8]. While our estimate of k remains imprecise, the simulations suggest that very low values of k \u003c 0.1 are less likely than higher values \u003c 0.1 that correspond to a more homogeneous transmission pattern. However, values of k in the range of 0.1–0.2 are still compatible with a small risk of occurrence of large superspreading events, especially impactful in hospital settings [15,16]."}