PMC:7547104 / 40358-41147 JSONTXT

{"project":"LitCovid-PD-CLO","denotations":[{"id":"T116","span":{"begin":68,"end":69},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"}],"text":"The results of the identification process also show the presence of a statistically significant correlation (p-value equal to 0.071) between the value of the mortality rate, parameter ζi in model (1)–(6), and the saturation of the regional health system represented by the ratio between the number of hospitalized in that region (Hi) and the total number of available hospital beds in intensive care (\\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}$$T_i^H$$\\end{document}TiH) (See Supplementary Notes and Supplementary Fig. 14 for further details and function estimation)."}

{"project":"LitCovid-sentences","denotations":[{"id":"T149","span":{"begin":0,"end":789},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"The results of the identification process also show the presence of a statistically significant correlation (p-value equal to 0.071) between the value of the mortality rate, parameter ζi in model (1)–(6), and the saturation of the regional health system represented by the ratio between the number of hospitalized in that region (Hi) and the total number of available hospital beds in intensive care (\\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}$$T_i^H$$\\end{document}TiH) (See Supplementary Notes and Supplementary Fig. 14 for further details and function estimation)."}

{"project":"LitCovid-PubTator","denotations":[{"id":"103","span":{"begin":158,"end":167},"obj":"Disease"}],"attributes":[{"id":"A103","pred":"tao:has_database_id","subj":"103","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":"The results of the identification process also show the presence of a statistically significant correlation (p-value equal to 0.071) between the value of the mortality rate, parameter ζi in model (1)–(6), and the saturation of the regional health system represented by the ratio between the number of hospitalized in that region (Hi) and the total number of available hospital beds in intensive care (\\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}$$T_i^H$$\\end{document}TiH) (See Supplementary Notes and Supplementary Fig. 14 for further details and function estimation)."}