PMC:7551987 / 26460-27035 JSONTXT

{"project":"2_test","denotations":[{"id":"32971954-19892718-143921968","span":{"begin":516,"end":518},"obj":"19892718"}],"text":"For the positive correlation scenario, when free-living survival varies between 5% below and above the nominal value, we observed a dramatic change in the total number of infected individuals in the first 30 days (98% increase from minimum survival to maximum survival; Table 5), and R0 nearly doubles (94% increase; Table 5). These two traits are, of course, connected: the theoretical construction of the R0 metric specifically applies to settings where a pathogen spreads in a population of susceptible hosts [34,35], an early window that is captured in the first 30 days."}

{"project":"LitCovid-PubTator","denotations":[{"id":"131","span":{"begin":171,"end":179},"obj":"Disease"}],"attributes":[{"id":"A131","pred":"tao:has_database_id","subj":"131","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":"For the positive correlation scenario, when free-living survival varies between 5% below and above the nominal value, we observed a dramatic change in the total number of infected individuals in the first 30 days (98% increase from minimum survival to maximum survival; Table 5), and R0 nearly doubles (94% increase; Table 5). These two traits are, of course, connected: the theoretical construction of the R0 metric specifically applies to settings where a pathogen spreads in a population of susceptible hosts [34,35], an early window that is captured in the first 30 days."}

{"project":"LitCovid-sentences","denotations":[{"id":"T180","span":{"begin":0,"end":326},"obj":"Sentence"},{"id":"T181","span":{"begin":327,"end":575},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"For the positive correlation scenario, when free-living survival varies between 5% below and above the nominal value, we observed a dramatic change in the total number of infected individuals in the first 30 days (98% increase from minimum survival to maximum survival; Table 5), and R0 nearly doubles (94% increase; Table 5). These two traits are, of course, connected: the theoretical construction of the R0 metric specifically applies to settings where a pathogen spreads in a population of susceptible hosts [34,35], an early window that is captured in the first 30 days."}