PMC:7797241 / 18938-19458 JSONTXT

{"project":"LitCovid-PubTator","denotations":[{"id":"168","span":{"begin":125,"end":131},"obj":"Disease"},{"id":"169","span":{"begin":238,"end":246},"obj":"Disease"},{"id":"170","span":{"begin":387,"end":396},"obj":"Disease"},{"id":"171","span":{"begin":402,"end":410},"obj":"Disease"}],"attributes":[{"id":"A168","pred":"tao:has_database_id","subj":"168","obj":"MESH:D003643"},{"id":"A169","pred":"tao:has_database_id","subj":"169","obj":"MESH:D007239"},{"id":"A170","pred":"tao:has_database_id","subj":"170","obj":"MESH:D003643"},{"id":"A171","pred":"tao:has_database_id","subj":"171","obj":"MESH:C000657245"}],"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":"Model outputs\nFor each of the 100 best parameter sets we run the model until 11 May 2020 and output the cumulative cases and deaths in the SW. We output the predicted proportion of the population who are infectious and who have ever been infected over time. Finally, we estimate the daily and cumulative patterns of admission to and discharge from hospital (IC and acute) and cumulative mortality from COVID-19. We perform sensitivity analysis on the performance of the model when calibrated to subsets of the full data."}

{"project":"LitCovid-sentences","denotations":[{"id":"T125","span":{"begin":0,"end":13},"obj":"Sentence"},{"id":"T126","span":{"begin":14,"end":142},"obj":"Sentence"},{"id":"T127","span":{"begin":143,"end":257},"obj":"Sentence"},{"id":"T128","span":{"begin":258,"end":411},"obj":"Sentence"},{"id":"T129","span":{"begin":412,"end":520},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"Model outputs\nFor each of the 100 best parameter sets we run the model until 11 May 2020 and output the cumulative cases and deaths in the SW. We output the predicted proportion of the population who are infectious and who have ever been infected over time. Finally, we estimate the daily and cumulative patterns of admission to and discharge from hospital (IC and acute) and cumulative mortality from COVID-19. We perform sensitivity analysis on the performance of the model when calibrated to subsets of the full data."}