PMC:7551987 / 42905-43643 JSONTXT

{"project":"LitCovid-PubTator","denotations":[{"id":"296","span":{"begin":527,"end":533},"obj":"Species"},{"id":"297","span":{"begin":648,"end":654},"obj":"Species"},{"id":"298","span":{"begin":517,"end":525},"obj":"Disease"},{"id":"299","span":{"begin":624,"end":632},"obj":"Disease"},{"id":"302","span":{"begin":360,"end":363},"obj":"Gene"},{"id":"303","span":{"begin":292,"end":295},"obj":"Gene"}],"attributes":[{"id":"A296","pred":"tao:has_database_id","subj":"296","obj":"Tax:9606"},{"id":"A297","pred":"tao:has_database_id","subj":"297","obj":"Tax:9606"},{"id":"A298","pred":"tao:has_database_id","subj":"298","obj":"MESH:D007239"},{"id":"A299","pred":"tao:has_database_id","subj":"299","obj":"MESH:D007239"},{"id":"A302","pred":"tao:has_database_id","subj":"302","obj":"Gene:6833"},{"id":"A303","pred":"tao:has_database_id","subj":"303","obj":"Gene:6833"}],"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":"Table 6 Negative correlation scenario: comparing epidemic metrics under low survival/low virulence versus high survival/high virulence scenarios (as in the negative correlation scenario). For each metric analyzed, these are the global heatmap values for the top left (at “coordinates” (Vir, Sur) → (+5%, −5%)) and bottom right corners (at “coordinates” (Vir, Sur) → (−5%, +5%)).\nEpidemic Metric max Virulence, min Survival min Virulence, max Survival % Difference between min Survival and max Survival\nPeak total infected (people) 7.39 × 106 5.99 × 106 −23.47%\ntmax−1 (days−1) 2.10 × 10−2 2.23 × 10−2 −0.15%\nTotal infected after 30 days (people) 1.16 × 108 1.13 × 108 −2.68%\nBasic reproductive ratio (R0) 3.67 1.99 −84.39%"}

{"project":"LitCovid-sentences","denotations":[{"id":"T309","span":{"begin":0,"end":188},"obj":"Sentence"},{"id":"T310","span":{"begin":189,"end":379},"obj":"Sentence"},{"id":"T311","span":{"begin":380,"end":505},"obj":"Sentence"},{"id":"T312","span":{"begin":506,"end":567},"obj":"Sentence"},{"id":"T313","span":{"begin":568,"end":617},"obj":"Sentence"},{"id":"T314","span":{"begin":618,"end":687},"obj":"Sentence"},{"id":"T315","span":{"begin":688,"end":738},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"Table 6 Negative correlation scenario: comparing epidemic metrics under low survival/low virulence versus high survival/high virulence scenarios (as in the negative correlation scenario). For each metric analyzed, these are the global heatmap values for the top left (at “coordinates” (Vir, Sur) → (+5%, −5%)) and bottom right corners (at “coordinates” (Vir, Sur) → (−5%, +5%)).\nEpidemic Metric max Virulence, min Survival min Virulence, max Survival % Difference between min Survival and max Survival\nPeak total infected (people) 7.39 × 106 5.99 × 106 −23.47%\ntmax−1 (days−1) 2.10 × 10−2 2.23 × 10−2 −0.15%\nTotal infected after 30 days (people) 1.16 × 108 1.13 × 108 −2.68%\nBasic reproductive ratio (R0) 3.67 1.99 −84.39%"}