PMC:7224658 / 8080-9043 JSONTXT

{"project":"LitCovid-PubTator","denotations":[{"id":"88","span":{"begin":751,"end":759},"obj":"Species"},{"id":"89","span":{"begin":458,"end":466},"obj":"Disease"},{"id":"90","span":{"begin":634,"end":642},"obj":"Disease"},{"id":"91","span":{"begin":742,"end":750},"obj":"Disease"}],"attributes":[{"id":"A88","pred":"tao:has_database_id","subj":"88","obj":"Tax:9606"},{"id":"A89","pred":"tao:has_database_id","subj":"89","obj":"MESH:C000657245"},{"id":"A90","pred":"tao:has_database_id","subj":"90","obj":"MESH:C000657245"},{"id":"A91","pred":"tao:has_database_id","subj":"91","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":"Statistical analysis\nFirst, the mean daily nationwide traffic was calculated for each week, starting from January 1, 2020, to compare traffic volumes between 2019 and 2020. A daily average was used because the 2020 data included the date of February 29. Mean daily nationwide traffic was compared between 2019 and 2020 using the following equation:(1) gap = mean daily traffic in 2019 − mean daily traffic in 2020\nSecond, trends in nationwide traffic and in COVID-19 cases were analyzed for 2020. For the trends in nationwide traffic in 2020, non-linear regression was performed to analyze the change in traffic over time. Trends for COVID-19 were analyzed using the numbers of daily new confirmed cases. The relationship between traffic and COVID-19 patients was analyzed using single linear regressions. The resulting regression coefficient, t-ratio, and p-value were used to evaluate the correlation between traffic and the number of daily new confirmed cases."}

{"project":"LitCovid-PD-MONDO","denotations":[{"id":"T30","span":{"begin":458,"end":466},"obj":"Disease"},{"id":"T31","span":{"begin":634,"end":642},"obj":"Disease"},{"id":"T32","span":{"begin":742,"end":750},"obj":"Disease"}],"attributes":[{"id":"A30","pred":"mondo_id","subj":"T30","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A31","pred":"mondo_id","subj":"T31","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A32","pred":"mondo_id","subj":"T32","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"}],"text":"Statistical analysis\nFirst, the mean daily nationwide traffic was calculated for each week, starting from January 1, 2020, to compare traffic volumes between 2019 and 2020. A daily average was used because the 2020 data included the date of February 29. Mean daily nationwide traffic was compared between 2019 and 2020 using the following equation:(1) gap = mean daily traffic in 2019 − mean daily traffic in 2020\nSecond, trends in nationwide traffic and in COVID-19 cases were analyzed for 2020. For the trends in nationwide traffic in 2020, non-linear regression was performed to analyze the change in traffic over time. Trends for COVID-19 were analyzed using the numbers of daily new confirmed cases. The relationship between traffic and COVID-19 patients was analyzed using single linear regressions. The resulting regression coefficient, t-ratio, and p-value were used to evaluate the correlation between traffic and the number of daily new confirmed cases."}

{"project":"LitCovid-PD-CLO","denotations":[{"id":"T32","span":{"begin":173,"end":174},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"}],"text":"Statistical analysis\nFirst, the mean daily nationwide traffic was calculated for each week, starting from January 1, 2020, to compare traffic volumes between 2019 and 2020. A daily average was used because the 2020 data included the date of February 29. Mean daily nationwide traffic was compared between 2019 and 2020 using the following equation:(1) gap = mean daily traffic in 2019 − mean daily traffic in 2020\nSecond, trends in nationwide traffic and in COVID-19 cases were analyzed for 2020. For the trends in nationwide traffic in 2020, non-linear regression was performed to analyze the change in traffic over time. Trends for COVID-19 were analyzed using the numbers of daily new confirmed cases. The relationship between traffic and COVID-19 patients was analyzed using single linear regressions. The resulting regression coefficient, t-ratio, and p-value were used to evaluate the correlation between traffic and the number of daily new confirmed cases."}

{"project":"LitCovid-sentences","denotations":[{"id":"T63","span":{"begin":0,"end":20},"obj":"Sentence"},{"id":"T64","span":{"begin":21,"end":172},"obj":"Sentence"},{"id":"T65","span":{"begin":173,"end":253},"obj":"Sentence"},{"id":"T66","span":{"begin":254,"end":413},"obj":"Sentence"},{"id":"T67","span":{"begin":414,"end":496},"obj":"Sentence"},{"id":"T68","span":{"begin":497,"end":622},"obj":"Sentence"},{"id":"T69","span":{"begin":623,"end":704},"obj":"Sentence"},{"id":"T70","span":{"begin":705,"end":805},"obj":"Sentence"},{"id":"T71","span":{"begin":806,"end":963},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"Statistical analysis\nFirst, the mean daily nationwide traffic was calculated for each week, starting from January 1, 2020, to compare traffic volumes between 2019 and 2020. A daily average was used because the 2020 data included the date of February 29. Mean daily nationwide traffic was compared between 2019 and 2020 using the following equation:(1) gap = mean daily traffic in 2019 − mean daily traffic in 2020\nSecond, trends in nationwide traffic and in COVID-19 cases were analyzed for 2020. For the trends in nationwide traffic in 2020, non-linear regression was performed to analyze the change in traffic over time. Trends for COVID-19 were analyzed using the numbers of daily new confirmed cases. The relationship between traffic and COVID-19 patients was analyzed using single linear regressions. The resulting regression coefficient, t-ratio, and p-value were used to evaluate the correlation between traffic and the number of daily new confirmed cases."}