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    LitCovid-sentences

    {"project":"LitCovid-sentences","denotations":[{"id":"T179","span":{"begin":119,"end":242},"obj":"Sentence"},{"id":"T180","span":{"begin":243,"end":292},"obj":"Sentence"},{"id":"T181","span":{"begin":293,"end":617},"obj":"Sentence"},{"id":"T182","span":{"begin":618,"end":709},"obj":"Sentence"},{"id":"T183","span":{"begin":710,"end":826},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"Observed and estimated case counts for (A) New York, (B) Florida, (C) Washington, (D) California, and (E) New Zealand. Solid curves represent the posterior means and shaded ribbons represent 50% and 90% credible intervals of estimated counts. Dots and black lines represent the reported data. Inset histograms show the posterior distributions of the fraction of normal contacts (f2), with the vertical lines denoting the threshold above which an exponential increase in prevalence is expected (as in Fig 3D). (F) Reduction in movement from Google mobility transit-station data [21] colour-coded for each jurisdiction. Thin lines are raw data; thick lines are smoothed values from a generalized additive model. See Table B and Supplemental Methods in S1 Text for details on the regional modelling parameters and initialization."}