PMC:7551987 / 21741-22804 JSONTXT

{"project":"2_test","denotations":[{"id":"32971954-15682873-143921964","span":{"begin":172,"end":174},"obj":"15682873"}],"text":"3.5. Positive Correlation Between Survival and Virulence\nIn a positive correlation scenario, high values for survival would be associated with high values for virulence [4,13]. Because the correlations we observe are often not exactly linear, we utilize quadrants to express a trend, allowing for some variance around the expected “line”. In Figure 5, the positive correlation scenario can be represented by combinations of virulence and survival residing in quadrants I and III.\nIf host–pathogen evolution proceeds according to a positive correlation scenario, all outbreak metrics would show an increase in severity as both survival and virulence increase. Across the range of variation in virulence and survival traits considered (5% above and below the nominal value), the peak number of infected individuals increases by approximately 35%, the rate at which the peak is reached increases by approximately 16%, the total number of infected individuals after 30 days increases by approximately 98%, and R0 increases by approximately 94% (Figure 6 and Table 5)."}

{"project":"LitCovid-PubTator","denotations":[{"id":"118","span":{"begin":792,"end":800},"obj":"Disease"},{"id":"119","span":{"begin":935,"end":943},"obj":"Disease"}],"attributes":[{"id":"A118","pred":"tao:has_database_id","subj":"118","obj":"MESH:D007239"},{"id":"A119","pred":"tao:has_database_id","subj":"119","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":"3.5. Positive Correlation Between Survival and Virulence\nIn a positive correlation scenario, high values for survival would be associated with high values for virulence [4,13]. Because the correlations we observe are often not exactly linear, we utilize quadrants to express a trend, allowing for some variance around the expected “line”. In Figure 5, the positive correlation scenario can be represented by combinations of virulence and survival residing in quadrants I and III.\nIf host–pathogen evolution proceeds according to a positive correlation scenario, all outbreak metrics would show an increase in severity as both survival and virulence increase. Across the range of variation in virulence and survival traits considered (5% above and below the nominal value), the peak number of infected individuals increases by approximately 35%, the rate at which the peak is reached increases by approximately 16%, the total number of infected individuals after 30 days increases by approximately 98%, and R0 increases by approximately 94% (Figure 6 and Table 5)."}

{"project":"LitCovid-sentences","denotations":[{"id":"T149","span":{"begin":0,"end":4},"obj":"Sentence"},{"id":"T150","span":{"begin":5,"end":56},"obj":"Sentence"},{"id":"T151","span":{"begin":57,"end":176},"obj":"Sentence"},{"id":"T152","span":{"begin":177,"end":338},"obj":"Sentence"},{"id":"T153","span":{"begin":339,"end":479},"obj":"Sentence"},{"id":"T154","span":{"begin":480,"end":658},"obj":"Sentence"},{"id":"T155","span":{"begin":659,"end":1063},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"3.5. Positive Correlation Between Survival and Virulence\nIn a positive correlation scenario, high values for survival would be associated with high values for virulence [4,13]. Because the correlations we observe are often not exactly linear, we utilize quadrants to express a trend, allowing for some variance around the expected “line”. In Figure 5, the positive correlation scenario can be represented by combinations of virulence and survival residing in quadrants I and III.\nIf host–pathogen evolution proceeds according to a positive correlation scenario, all outbreak metrics would show an increase in severity as both survival and virulence increase. Across the range of variation in virulence and survival traits considered (5% above and below the nominal value), the peak number of infected individuals increases by approximately 35%, the rate at which the peak is reached increases by approximately 16%, the total number of infected individuals after 30 days increases by approximately 98%, and R0 increases by approximately 94% (Figure 6 and Table 5)."}