PMC:7050133 / 12471-13374 JSONTXT

{"project":"LitCovid-PD-CLO","denotations":[{"id":"T57","span":{"begin":62,"end":63},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T58","span":{"begin":121,"end":126},"obj":"http://purl.obolibrary.org/obo/NCBITaxon_10239"},{"id":"T59","span":{"begin":790,"end":793},"obj":"http://purl.obolibrary.org/obo/CLO_0009421"},{"id":"T60","span":{"begin":790,"end":793},"obj":"http://purl.obolibrary.org/obo/CLO_0009935"},{"id":"T61","span":{"begin":790,"end":793},"obj":"http://purl.obolibrary.org/obo/CLO_0052184"},{"id":"T62","span":{"begin":790,"end":793},"obj":"http://purl.obolibrary.org/obo/CLO_0052185"}],"text":"Modeling the epidemic with assumption of no intervention\nWith a close population assumption and continuous spread of the virus, the number of detected cases can be described using an exponential model [10]. We thus estimated the potentially detectable new cases every day for the period by fitting the observed daily cumulative cases to an exponential curve: 4 \\documentclass[12pt]{minimal} \t\t\t\t\\usepackage{amsmath} \t\t\t\t\\usepackage{wasysym} \t\t\t\t\\usepackage{amsfonts} \t\t\t\t\\usepackage{amssymb} \t\t\t\t\\usepackage{amsbsy} \t\t\t\t\\usepackage{mathrsfs} \t\t\t\t\\usepackage{upgreek} \t\t\t\t\\setlength{\\oddsidemargin}{-69pt} \t\t\t\t\\begin{document}$$ F\\left(\\overline{x}\\right)=\\left(\\alpha \\right){\\mathit{\\exp}}^{\\beta (t)},\\mathrm{t}=\\left(12/8/2019,12/9/2019,\\dots, 1/20/2020\\right), $$\\end{document}Fx¯=αexpβt,t=12/8/201912/9/2019…1/20/2020,\nwhere, α =number of expected cases at the baseline and β = growth rate per day."}

{"project":"LitCovid-PD-CHEBI","denotations":[{"id":"T4","span":{"begin":662,"end":667},"obj":"Chemical"},{"id":"T5","span":{"begin":693,"end":697},"obj":"Chemical"}],"attributes":[{"id":"A4","pred":"chebi_id","subj":"T4","obj":"http://purl.obolibrary.org/obo/CHEBI_30216"},{"id":"A5","pred":"chebi_id","subj":"T5","obj":"http://purl.obolibrary.org/obo/CHEBI_10545"}],"text":"Modeling the epidemic with assumption of no intervention\nWith a close population assumption and continuous spread of the virus, the number of detected cases can be described using an exponential model [10]. We thus estimated the potentially detectable new cases every day for the period by fitting the observed daily cumulative cases to an exponential curve: 4 \\documentclass[12pt]{minimal} \t\t\t\t\\usepackage{amsmath} \t\t\t\t\\usepackage{wasysym} \t\t\t\t\\usepackage{amsfonts} \t\t\t\t\\usepackage{amssymb} \t\t\t\t\\usepackage{amsbsy} \t\t\t\t\\usepackage{mathrsfs} \t\t\t\t\\usepackage{upgreek} \t\t\t\t\\setlength{\\oddsidemargin}{-69pt} \t\t\t\t\\begin{document}$$ F\\left(\\overline{x}\\right)=\\left(\\alpha \\right){\\mathit{\\exp}}^{\\beta (t)},\\mathrm{t}=\\left(12/8/2019,12/9/2019,\\dots, 1/20/2020\\right), $$\\end{document}Fx¯=αexpβt,t=12/8/201912/9/2019…1/20/2020,\nwhere, α =number of expected cases at the baseline and β = growth rate per day."}

{"project":"LitCovid-PD-GO-BP","denotations":[{"id":"T1","span":{"begin":883,"end":889},"obj":"http://purl.obolibrary.org/obo/GO_0040007"}],"text":"Modeling the epidemic with assumption of no intervention\nWith a close population assumption and continuous spread of the virus, the number of detected cases can be described using an exponential model [10]. We thus estimated the potentially detectable new cases every day for the period by fitting the observed daily cumulative cases to an exponential curve: 4 \\documentclass[12pt]{minimal} \t\t\t\t\\usepackage{amsmath} \t\t\t\t\\usepackage{wasysym} \t\t\t\t\\usepackage{amsfonts} \t\t\t\t\\usepackage{amssymb} \t\t\t\t\\usepackage{amsbsy} \t\t\t\t\\usepackage{mathrsfs} \t\t\t\t\\usepackage{upgreek} \t\t\t\t\\setlength{\\oddsidemargin}{-69pt} \t\t\t\t\\begin{document}$$ F\\left(\\overline{x}\\right)=\\left(\\alpha \\right){\\mathit{\\exp}}^{\\beta (t)},\\mathrm{t}=\\left(12/8/2019,12/9/2019,\\dots, 1/20/2020\\right), $$\\end{document}Fx¯=αexpβt,t=12/8/201912/9/2019…1/20/2020,\nwhere, α =number of expected cases at the baseline and β = growth rate per day."}

{"project":"LitCovid-sentences","denotations":[{"id":"T76","span":{"begin":0,"end":56},"obj":"Sentence"},{"id":"T77","span":{"begin":57,"end":206},"obj":"Sentence"},{"id":"T78","span":{"begin":207,"end":358},"obj":"Sentence"},{"id":"T79","span":{"begin":359,"end":823},"obj":"Sentence"},{"id":"T80","span":{"begin":824,"end":903},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"Modeling the epidemic with assumption of no intervention\nWith a close population assumption and continuous spread of the virus, the number of detected cases can be described using an exponential model [10]. We thus estimated the potentially detectable new cases every day for the period by fitting the observed daily cumulative cases to an exponential curve: 4 \\documentclass[12pt]{minimal} \t\t\t\t\\usepackage{amsmath} \t\t\t\t\\usepackage{wasysym} \t\t\t\t\\usepackage{amsfonts} \t\t\t\t\\usepackage{amssymb} \t\t\t\t\\usepackage{amsbsy} \t\t\t\t\\usepackage{mathrsfs} \t\t\t\t\\usepackage{upgreek} \t\t\t\t\\setlength{\\oddsidemargin}{-69pt} \t\t\t\t\\begin{document}$$ F\\left(\\overline{x}\\right)=\\left(\\alpha \\right){\\mathit{\\exp}}^{\\beta (t)},\\mathrm{t}=\\left(12/8/2019,12/9/2019,\\dots, 1/20/2020\\right), $$\\end{document}Fx¯=αexpβt,t=12/8/201912/9/2019…1/20/2020,\nwhere, α =number of expected cases at the baseline and β = growth rate per day."}