PMC:7060038 / 21586-22684 JSONTXT

{"project":"LitCovid-PubTator","denotations":[{"id":"163","span":{"begin":92,"end":101},"obj":"Disease"},{"id":"165","span":{"begin":638,"end":643},"obj":"Disease"}],"attributes":[{"id":"A163","pred":"tao:has_database_id","subj":"163","obj":"MESH:D007239"},{"id":"A165","pred":"tao:has_database_id","subj":"165","obj":"MESH:D005334"}],"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":"Figure 2. Individual outcome probabilities for travellers who screened at given time since infection.\nColumns show three possible mean incubation periods, and rows show best-case, middle-case and worst-case estimates of the fraction of subclinical cases. Here, we assume screening occurs at both arrival and departure; see Figure 2—figure supplement 1 and Figure 2—figure supplement 2 for departure or arrival screening only. The black dashed lines separate detected cases (below) from missed cases (above). Here, we assume flight duration = 24 hr, the probability that an individual is aware of exposure risk is 0.2, the sensitivity of fever scanners is 0.7, and the probability that an individual will truthfully self-report on risk questionnaires is 0.25. Table 1 lists all other input values.\nFigure 2—source data 1. Source data for Figure 2.\nRaw, simulated data, and source data for Figure 2—figures supplement 1, 2 can be found as. RData or. csv files in the supplementary code.\nFigure 2—figure supplement 1. Departure screening only.\nFigure 2—figure supplement 2. Arrival screening only."}

{"project":"LitCovid-PD-MONDO","denotations":[{"id":"T26","span":{"begin":92,"end":101},"obj":"Disease"}],"attributes":[{"id":"A26","pred":"mondo_id","subj":"T26","obj":"http://purl.obolibrary.org/obo/MONDO_0005550"}],"text":"Figure 2. Individual outcome probabilities for travellers who screened at given time since infection.\nColumns show three possible mean incubation periods, and rows show best-case, middle-case and worst-case estimates of the fraction of subclinical cases. Here, we assume screening occurs at both arrival and departure; see Figure 2—figure supplement 1 and Figure 2—figure supplement 2 for departure or arrival screening only. The black dashed lines separate detected cases (below) from missed cases (above). Here, we assume flight duration = 24 hr, the probability that an individual is aware of exposure risk is 0.2, the sensitivity of fever scanners is 0.7, and the probability that an individual will truthfully self-report on risk questionnaires is 0.25. Table 1 lists all other input values.\nFigure 2—source data 1. Source data for Figure 2.\nRaw, simulated data, and source data for Figure 2—figures supplement 1, 2 can be found as. RData or. csv files in the supplementary code.\nFigure 2—figure supplement 1. Departure screening only.\nFigure 2—figure supplement 2. Arrival screening only."}

{"project":"LitCovid-PD-HP","denotations":[{"id":"T27","span":{"begin":638,"end":643},"obj":"Phenotype"}],"attributes":[{"id":"A27","pred":"hp_id","subj":"T27","obj":"http://purl.obolibrary.org/obo/HP_0001945"}],"text":"Figure 2. Individual outcome probabilities for travellers who screened at given time since infection.\nColumns show three possible mean incubation periods, and rows show best-case, middle-case and worst-case estimates of the fraction of subclinical cases. Here, we assume screening occurs at both arrival and departure; see Figure 2—figure supplement 1 and Figure 2—figure supplement 2 for departure or arrival screening only. The black dashed lines separate detected cases (below) from missed cases (above). Here, we assume flight duration = 24 hr, the probability that an individual is aware of exposure risk is 0.2, the sensitivity of fever scanners is 0.7, and the probability that an individual will truthfully self-report on risk questionnaires is 0.25. Table 1 lists all other input values.\nFigure 2—source data 1. Source data for Figure 2.\nRaw, simulated data, and source data for Figure 2—figures supplement 1, 2 can be found as. RData or. csv files in the supplementary code.\nFigure 2—figure supplement 1. Departure screening only.\nFigure 2—figure supplement 2. Arrival screening only."}

{"project":"LitCovid-PD-GO-BP","denotations":[{"id":"T1","span":{"begin":525,"end":531},"obj":"http://purl.obolibrary.org/obo/GO_0060361"}],"text":"Figure 2. Individual outcome probabilities for travellers who screened at given time since infection.\nColumns show three possible mean incubation periods, and rows show best-case, middle-case and worst-case estimates of the fraction of subclinical cases. Here, we assume screening occurs at both arrival and departure; see Figure 2—figure supplement 1 and Figure 2—figure supplement 2 for departure or arrival screening only. The black dashed lines separate detected cases (below) from missed cases (above). Here, we assume flight duration = 24 hr, the probability that an individual is aware of exposure risk is 0.2, the sensitivity of fever scanners is 0.7, and the probability that an individual will truthfully self-report on risk questionnaires is 0.25. Table 1 lists all other input values.\nFigure 2—source data 1. Source data for Figure 2.\nRaw, simulated data, and source data for Figure 2—figures supplement 1, 2 can be found as. RData or. csv files in the supplementary code.\nFigure 2—figure supplement 1. Departure screening only.\nFigure 2—figure supplement 2. Arrival screening only."}

{"project":"LitCovid-sentences","denotations":[{"id":"T123","span":{"begin":0,"end":9},"obj":"Sentence"},{"id":"T124","span":{"begin":11,"end":102},"obj":"Sentence"},{"id":"T125","span":{"begin":103,"end":255},"obj":"Sentence"},{"id":"T126","span":{"begin":256,"end":426},"obj":"Sentence"},{"id":"T127","span":{"begin":427,"end":508},"obj":"Sentence"},{"id":"T128","span":{"begin":509,"end":759},"obj":"Sentence"},{"id":"T129","span":{"begin":760,"end":797},"obj":"Sentence"},{"id":"T130","span":{"begin":798,"end":821},"obj":"Sentence"},{"id":"T131","span":{"begin":823,"end":848},"obj":"Sentence"},{"id":"T132","span":{"begin":849,"end":939},"obj":"Sentence"},{"id":"T133","span":{"begin":940,"end":986},"obj":"Sentence"},{"id":"T134","span":{"begin":987,"end":1016},"obj":"Sentence"},{"id":"T135","span":{"begin":1018,"end":1043},"obj":"Sentence"},{"id":"T136","span":{"begin":1044,"end":1073},"obj":"Sentence"},{"id":"T137","span":{"begin":1075,"end":1098},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"Figure 2. Individual outcome probabilities for travellers who screened at given time since infection.\nColumns show three possible mean incubation periods, and rows show best-case, middle-case and worst-case estimates of the fraction of subclinical cases. Here, we assume screening occurs at both arrival and departure; see Figure 2—figure supplement 1 and Figure 2—figure supplement 2 for departure or arrival screening only. The black dashed lines separate detected cases (below) from missed cases (above). Here, we assume flight duration = 24 hr, the probability that an individual is aware of exposure risk is 0.2, the sensitivity of fever scanners is 0.7, and the probability that an individual will truthfully self-report on risk questionnaires is 0.25. Table 1 lists all other input values.\nFigure 2—source data 1. Source data for Figure 2.\nRaw, simulated data, and source data for Figure 2—figures supplement 1, 2 can be found as. RData or. csv files in the supplementary code.\nFigure 2—figure supplement 1. Departure screening only.\nFigure 2—figure supplement 2. Arrival screening only."}