PMC:7050235 / 1630-1954 JSONTXT

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    LitCovid-PubTator

    {"project":"LitCovid-PubTator","denotations":[{"id":"20","span":{"begin":202,"end":210},"obj":"Disease"}],"attributes":[{"id":"A20","pred":"tao:has_database_id","subj":"20","obj":"MESH:D007239"}],"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":"From further mathematical model construction by regression analysis, the equation for representing the relationship is “Y = 0.002 X1 + 1.124 X2 − 13.064 − 24.009 − 5.4725,” where Y = number of imported infected cases (person) and, X1 = number of immigrants from China (person) and X2 = period after the first outbreak (day)."}

    LitCovid-sentences

    {"project":"LitCovid-sentences","denotations":[{"id":"T11","span":{"begin":0,"end":324},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"From further mathematical model construction by regression analysis, the equation for representing the relationship is “Y = 0.002 X1 + 1.124 X2 − 13.064 − 24.009 − 5.4725,” where Y = number of imported infected cases (person) and, X1 = number of immigrants from China (person) and X2 = period after the first outbreak (day)."}