PMC:7014668 / 7673-8149 JSONTXT

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    LitCovid-PubTator

    {"project":"LitCovid-PubTator","denotations":[{"id":"93","span":{"begin":60,"end":77},"obj":"Species"},{"id":"94","span":{"begin":79,"end":88},"obj":"Species"},{"id":"95","span":{"begin":46,"end":54},"obj":"Disease"},{"id":"97","span":{"begin":328,"end":338},"obj":"Disease"}],"attributes":[{"id":"A93","pred":"tao:has_database_id","subj":"93","obj":"Tax:2697049"},{"id":"A94","pred":"tao:has_database_id","subj":"94","obj":"Tax:2697049"},{"id":"A95","pred":"tao:has_database_id","subj":"95","obj":"MESH:D007239"},{"id":"A97","pred":"tao:has_database_id","subj":"97","obj":"MESH:D007239"}],"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 3 Probability of detecting travellers infected with novel coronavirus (2019-nCoV) at airport entry screening by travel duration and sensitivity of exit screening\nEach cell is a mean of 10,000 model simulations. Other parameters (incubation period, symptom onset to hospitalisation period, and proportion of asymptomatic infections) were fixed at baseline assumptions (Table). Intervals are probabilities of detection, binned at increments of 10% (0–10%, 10–20%, etc.)."}

    LitCovid-PD-FMA-UBERON

    {"project":"LitCovid-PD-FMA-UBERON","denotations":[{"id":"T1","span":{"begin":175,"end":179},"obj":"Body_part"}],"attributes":[{"id":"A1","pred":"fma_id","subj":"T1","obj":"http://purl.org/sig/ont/fma/fma68646"}],"text":"Figure 3 Probability of detecting travellers infected with novel coronavirus (2019-nCoV) at airport entry screening by travel duration and sensitivity of exit screening\nEach cell is a mean of 10,000 model simulations. Other parameters (incubation period, symptom onset to hospitalisation period, and proportion of asymptomatic infections) were fixed at baseline assumptions (Table). Intervals are probabilities of detection, binned at increments of 10% (0–10%, 10–20%, etc.)."}

    LitCovid-PD-MONDO

    {"project":"LitCovid-PD-MONDO","denotations":[{"id":"T22","span":{"begin":328,"end":338},"obj":"Disease"}],"attributes":[{"id":"A22","pred":"mondo_id","subj":"T22","obj":"http://purl.obolibrary.org/obo/MONDO_0005550"}],"text":"Figure 3 Probability of detecting travellers infected with novel coronavirus (2019-nCoV) at airport entry screening by travel duration and sensitivity of exit screening\nEach cell is a mean of 10,000 model simulations. Other parameters (incubation period, symptom onset to hospitalisation period, and proportion of asymptomatic infections) were fixed at baseline assumptions (Table). Intervals are probabilities of detection, binned at increments of 10% (0–10%, 10–20%, etc.)."}

    LitCovid-PD-CLO

    {"project":"LitCovid-PD-CLO","denotations":[{"id":"T21","span":{"begin":175,"end":179},"obj":"http://purl.obolibrary.org/obo/GO_0005623"},{"id":"T22","span":{"begin":183,"end":184},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"}],"text":"Figure 3 Probability of detecting travellers infected with novel coronavirus (2019-nCoV) at airport entry screening by travel duration and sensitivity of exit screening\nEach cell is a mean of 10,000 model simulations. Other parameters (incubation period, symptom onset to hospitalisation period, and proportion of asymptomatic infections) were fixed at baseline assumptions (Table). Intervals are probabilities of detection, binned at increments of 10% (0–10%, 10–20%, etc.)."}

    LitCovid-sentences

    {"project":"LitCovid-sentences","denotations":[{"id":"T54","span":{"begin":0,"end":169},"obj":"Sentence"},{"id":"T55","span":{"begin":170,"end":218},"obj":"Sentence"},{"id":"T56","span":{"begin":219,"end":383},"obj":"Sentence"},{"id":"T57","span":{"begin":384,"end":476},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"Figure 3 Probability of detecting travellers infected with novel coronavirus (2019-nCoV) at airport entry screening by travel duration and sensitivity of exit screening\nEach cell is a mean of 10,000 model simulations. Other parameters (incubation period, symptom onset to hospitalisation period, and proportion of asymptomatic infections) were fixed at baseline assumptions (Table). Intervals are probabilities of detection, binned at increments of 10% (0–10%, 10–20%, etc.)."}