PMC:7050133 / 469-908
Annnotations
LitCovid-PubTator
{"project":"LitCovid-PubTator","denotations":[{"id":"10","span":{"begin":69,"end":80},"obj":"Species"},{"id":"11","span":{"begin":397,"end":407},"obj":"Disease"}],"attributes":[{"id":"A10","pred":"tao:has_database_id","subj":"10","obj":"Tax:11118"},{"id":"A11","pred":"tao:has_database_id","subj":"11","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":"In this study, we used a second derivative model to characterize the coronavirus epidemic in China with cumulatively diagnosed cases during the first 2 months. The analysis was further enhanced by an exponential model with a close-population assumption. This model was built with the data and used to assess the detection rate during the study period, considering the differences between the true infections, detectable and detected cases."}
LitCovid-PD-MONDO
{"project":"LitCovid-PD-MONDO","denotations":[{"id":"T4","span":{"begin":397,"end":407},"obj":"Disease"}],"attributes":[{"id":"A4","pred":"mondo_id","subj":"T4","obj":"http://purl.obolibrary.org/obo/MONDO_0005550"}],"text":"In this study, we used a second derivative model to characterize the coronavirus epidemic in China with cumulatively diagnosed cases during the first 2 months. The analysis was further enhanced by an exponential model with a close-population assumption. This model was built with the data and used to assess the detection rate during the study period, considering the differences between the true infections, detectable and detected cases."}
LitCovid-PD-CLO
{"project":"LitCovid-PD-CLO","denotations":[{"id":"T3","span":{"begin":23,"end":24},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T4","span":{"begin":223,"end":224},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"}],"text":"In this study, we used a second derivative model to characterize the coronavirus epidemic in China with cumulatively diagnosed cases during the first 2 months. The analysis was further enhanced by an exponential model with a close-population assumption. This model was built with the data and used to assess the detection rate during the study period, considering the differences between the true infections, detectable and detected cases."}
LitCovid-sentences
{"project":"LitCovid-sentences","denotations":[{"id":"T6","span":{"begin":0,"end":159},"obj":"Sentence"},{"id":"T7","span":{"begin":160,"end":253},"obj":"Sentence"},{"id":"T8","span":{"begin":254,"end":439},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"In this study, we used a second derivative model to characterize the coronavirus epidemic in China with cumulatively diagnosed cases during the first 2 months. The analysis was further enhanced by an exponential model with a close-population assumption. This model was built with the data and used to assess the detection rate during the study period, considering the differences between the true infections, detectable and detected cases."}