CORD-19:90394841ad2cbaec78bf51646d5ca1ae26fadba6 / 57640-57847 JSONTXT

{"project":"CORD-19-Sentences","denotations":[{"id":"TextSentencer_T338","span":{"begin":0,"end":207},"obj":"Sentence"},{"id":"T36489","span":{"begin":0,"end":207},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"With daily climatological data and real-time population disease status as inputs, retrospective forecasts could predict historical peaks of influenza outbreak with good accuracy seven weeks in advance [60] ."}

{"project":"CORD-19-PD-MONDO","denotations":[{"id":"T111","span":{"begin":140,"end":149},"obj":"Disease"},{"id":"T15494","span":{"begin":140,"end":149},"obj":"Disease"}],"attributes":[{"id":"A111","pred":"mondo_id","subj":"T111","obj":"http://purl.obolibrary.org/obo/MONDO_0005812"},{"id":"A24027","pred":"mondo_id","subj":"T15494","obj":"http://purl.obolibrary.org/obo/MONDO_0005812"}],"text":"With daily climatological data and real-time population disease status as inputs, retrospective forecasts could predict historical peaks of influenza outbreak with good accuracy seven weeks in advance [60] ."}