PMC:7033348 / 15155-15922 JSONTXT

{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/7033348","sourcedb":"PMC","sourceid":"7033348","source_url":"https://www.ncbi.nlm.nih.gov/pmc/7033348","text":"10 day ahead forecasts of case counts in Hubei generated on February 5th show significantly different results between the GLM and Richards versus the sub-epidemic model, with the sub-epidemic model predicting significantly higher case counts (Fig. 2a). For forecasts generated after February 5th, the prediction intervals of the three models are comparable, with the GLM intervals having the lowest uncertainty, followed by the Richards model (Fig. 2a). For other provinces, the sub-epidemic model yields significantly wider prediction intervals than the other two models. Like the 5 day ahead forecasts, the 10 day ahead prediction intervals become increasingly narrow for Hubei when including more data, but uncertainty remains relatively stable in other provinces.","tracks":[{"project":"LitCovid-PD-CLO","denotations":[{"id":"T64","span":{"begin":248,"end":250},"obj":"http://purl.obolibrary.org/obo/CLO_0001236"},{"id":"T65","span":{"begin":449,"end":451},"obj":"http://purl.obolibrary.org/obo/CLO_0001236"}],"attributes":[{"subj":"T64","pred":"source","obj":"LitCovid-PD-CLO"},{"subj":"T65","pred":"source","obj":"LitCovid-PD-CLO"}]},{"project":"LitCovid-sentences","denotations":[{"id":"T100","span":{"begin":0,"end":252},"obj":"Sentence"},{"id":"T101","span":{"begin":253,"end":453},"obj":"Sentence"},{"id":"T102","span":{"begin":454,"end":572},"obj":"Sentence"},{"id":"T103","span":{"begin":573,"end":767},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"attributes":[{"subj":"T100","pred":"source","obj":"LitCovid-sentences"},{"subj":"T101","pred":"source","obj":"LitCovid-sentences"},{"subj":"T102","pred":"source","obj":"LitCovid-sentences"},{"subj":"T103","pred":"source","obj":"LitCovid-sentences"}]}],"config":{"attribute types":[{"pred":"source","value type":"selection","values":[{"id":"LitCovid-PD-CLO","color":"#ec93c4","default":true},{"id":"LitCovid-sentences","color":"#93deec"}]}]}}