PMC:7033348 / 11046-11915 JSONTXT

{"project":"LitCovid-PD-GO-BP","denotations":[{"id":"T9","span":{"begin":209,"end":215},"obj":"http://purl.obolibrary.org/obo/GO_0040007"},{"id":"T10","span":{"begin":527,"end":533},"obj":"http://purl.obolibrary.org/obo/GO_0040007"},{"id":"T11","span":{"begin":621,"end":627},"obj":"http://purl.obolibrary.org/obo/GO_0040007"}],"text":"Our results for Hubei province indicate that the parameter estimates for the three models tend to stabilize and decrease in uncertainty as more data become available (Supplemental Table 1). In particular, the growth rate r decreases and appears to be converging over time, particularly for the GLM and sub-epidemic model. Parameter K also follows this general trend, with prediction intervals decreasing significantly in width as more data become available. Importantly, the p estimates from the GLM indicate that the epidemic growth in Hubei is close to exponential (p = 0.99 (95% CI: 0.98, 1) – February 9th). Further, growth rate and scaling parameter estimates have remained relatively stable over the last three reporting dates, while estimates of K are still declining. This may correlate with the effectiveness of control measures or the slowing of the epidemic."}

{"project":"LitCovid-sentences","denotations":[{"id":"T71","span":{"begin":0,"end":189},"obj":"Sentence"},{"id":"T72","span":{"begin":190,"end":321},"obj":"Sentence"},{"id":"T73","span":{"begin":322,"end":457},"obj":"Sentence"},{"id":"T74","span":{"begin":458,"end":585},"obj":"Sentence"},{"id":"T75","span":{"begin":586,"end":611},"obj":"Sentence"},{"id":"T76","span":{"begin":612,"end":775},"obj":"Sentence"},{"id":"T77","span":{"begin":776,"end":869},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"Our results for Hubei province indicate that the parameter estimates for the three models tend to stabilize and decrease in uncertainty as more data become available (Supplemental Table 1). In particular, the growth rate r decreases and appears to be converging over time, particularly for the GLM and sub-epidemic model. Parameter K also follows this general trend, with prediction intervals decreasing significantly in width as more data become available. Importantly, the p estimates from the GLM indicate that the epidemic growth in Hubei is close to exponential (p = 0.99 (95% CI: 0.98, 1) – February 9th). Further, growth rate and scaling parameter estimates have remained relatively stable over the last three reporting dates, while estimates of K are still declining. This may correlate with the effectiveness of control measures or the slowing of the epidemic."}