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    LitCovid-PubTator

    {"project":"LitCovid-PubTator","denotations":[{"id":"65","span":{"begin":511,"end":519},"obj":"Disease"},{"id":"66","span":{"begin":734,"end":743},"obj":"Disease"},{"id":"67","span":{"begin":767,"end":772},"obj":"Disease"}],"attributes":[{"id":"A65","pred":"tao:has_database_id","subj":"65","obj":"MESH:C000657245"},{"id":"A66","pred":"tao:has_database_id","subj":"66","obj":"MESH:D007239"},{"id":"A67","pred":"tao:has_database_id","subj":"67","obj":"MESH:D003643"}],"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":"In the UK, the epidemic escalated most rapidly in London,14 and the majority of national modelling is seemingly driven by the trends in London due to its large case numbers and large population. One of the key issues facing National Health Service (NHS) authorities is planning for more localised capacity needs and estimating the timings of surges in demand at a regional or healthcare system level. This is especially challenging given the rapidly evolving epidemiological and biological data; the changes in COVID-19 testing availability (eg, previously limited and changing eligibility requirements); the uncertainty in the effectiveness of interventions in different contexts; significant and uncertain time lags between initial infection and hospitalisation or death; and different regions being at different points in the epidemic curve.9 South West England (SW) is the region with the lowest number of total cases in England (as of 11 May 2020), lagging behind the national data driven by the earlier epidemic in London.9 14"}

    LitCovid-sentences

    {"project":"LitCovid-sentences","denotations":[{"id":"T31","span":{"begin":0,"end":194},"obj":"Sentence"},{"id":"T32","span":{"begin":195,"end":400},"obj":"Sentence"},{"id":"T33","span":{"begin":401,"end":1032},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"In the UK, the epidemic escalated most rapidly in London,14 and the majority of national modelling is seemingly driven by the trends in London due to its large case numbers and large population. One of the key issues facing National Health Service (NHS) authorities is planning for more localised capacity needs and estimating the timings of surges in demand at a regional or healthcare system level. This is especially challenging given the rapidly evolving epidemiological and biological data; the changes in COVID-19 testing availability (eg, previously limited and changing eligibility requirements); the uncertainty in the effectiveness of interventions in different contexts; significant and uncertain time lags between initial infection and hospitalisation or death; and different regions being at different points in the epidemic curve.9 South West England (SW) is the region with the lowest number of total cases in England (as of 11 May 2020), lagging behind the national data driven by the earlier epidemic in London.9 14"}