PubMed:33181262 JSONTXT

{"project":"LitCovid-PD-MONDO","denotations":[{"id":"T1","span":{"begin":0,"end":8},"obj":"Disease"},{"id":"T2","span":{"begin":85,"end":93},"obj":"Disease"},{"id":"T3","span":{"begin":243,"end":251},"obj":"Disease"},{"id":"T4","span":{"begin":422,"end":430},"obj":"Disease"},{"id":"T5","span":{"begin":594,"end":602},"obj":"Disease"},{"id":"T6","span":{"begin":918,"end":926},"obj":"Disease"},{"id":"T7","span":{"begin":1122,"end":1130},"obj":"Disease"},{"id":"T8","span":{"begin":1244,"end":1252},"obj":"Disease"},{"id":"T9","span":{"begin":1499,"end":1507},"obj":"Disease"}],"attributes":[{"id":"A1","pred":"mondo_id","subj":"T1","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A2","pred":"mondo_id","subj":"T2","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A3","pred":"mondo_id","subj":"T3","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A4","pred":"mondo_id","subj":"T4","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A5","pred":"mondo_id","subj":"T5","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A6","pred":"mondo_id","subj":"T6","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A7","pred":"mondo_id","subj":"T7","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A8","pred":"mondo_id","subj":"T8","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A9","pred":"mondo_id","subj":"T9","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"}],"text":"COVID-19 mortality and neighborhood characteristics in Chicago.\nPURPOSE: To describe COVID-19 mortality in Chicago during the spring of 2020, and identify at the census-tract level neighborhood characteristics that were associated with higher COVID-19 mortality rates.\nMETHODS: Using Poisson regression and regularized linear regression (elastic net), we evaluated the association between neighborhood characteristics and COVID-19 mortality rates in Chicago through July 22 (2514 deaths across 795 populated census tracts).\nRESULTS: Black residents (31% of the population) accounted for 42% of COVID-19 deaths. Deaths among Hispanic/Latino residents occurred at a younger age (63 years, compared to 71 for white residents). Regarding residential setting, 52% of deaths among white residents occurred inside nursing homes, compared to 35% of deaths among Black residents and 17% among Hispanic/Latino residents. Higher COVID-19 mortality was seen in neighborhoods with heightened barriers to social distancing and low health insurance coverage. Neighborhoods with a higher percentage of white and Asian residents had lower COVID-19 mortality. The associations differed by race, suggesting that neighborhood context may be most tightly linked to COVID-19 mortality among white residents.\nCONCLUSIONS: We describe communities that may benefit from supportive services, and identify traits of communities that may benefit from targeted campaigns for prevention and testing to prevent future deaths from COVID-19."}

{"project":"LitCovid-PD-CLO","denotations":[{"id":"T1","span":{"begin":471,"end":473},"obj":"http://purl.obolibrary.org/obo/CLO_0050507"},{"id":"T2","span":{"begin":662,"end":663},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T3","span":{"begin":699,"end":701},"obj":"http://purl.obolibrary.org/obo/CLO_0054055"},{"id":"T4","span":{"begin":755,"end":757},"obj":"http://purl.obolibrary.org/obo/CLO_0001407"},{"id":"T5","span":{"begin":834,"end":836},"obj":"http://purl.obolibrary.org/obo/CLO_0001000"},{"id":"T6","span":{"begin":1063,"end":1064},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T7","span":{"begin":1461,"end":1468},"obj":"http://purl.obolibrary.org/obo/UBERON_0000473"}],"text":"COVID-19 mortality and neighborhood characteristics in Chicago.\nPURPOSE: To describe COVID-19 mortality in Chicago during the spring of 2020, and identify at the census-tract level neighborhood characteristics that were associated with higher COVID-19 mortality rates.\nMETHODS: Using Poisson regression and regularized linear regression (elastic net), we evaluated the association between neighborhood characteristics and COVID-19 mortality rates in Chicago through July 22 (2514 deaths across 795 populated census tracts).\nRESULTS: Black residents (31% of the population) accounted for 42% of COVID-19 deaths. Deaths among Hispanic/Latino residents occurred at a younger age (63 years, compared to 71 for white residents). Regarding residential setting, 52% of deaths among white residents occurred inside nursing homes, compared to 35% of deaths among Black residents and 17% among Hispanic/Latino residents. Higher COVID-19 mortality was seen in neighborhoods with heightened barriers to social distancing and low health insurance coverage. Neighborhoods with a higher percentage of white and Asian residents had lower COVID-19 mortality. The associations differed by race, suggesting that neighborhood context may be most tightly linked to COVID-19 mortality among white residents.\nCONCLUSIONS: We describe communities that may benefit from supportive services, and identify traits of communities that may benefit from targeted campaigns for prevention and testing to prevent future deaths from COVID-19."}

{"project":"LitCovid-PubTator","denotations":[{"id":"2","span":{"begin":0,"end":8},"obj":"Disease"},{"id":"3","span":{"begin":9,"end":18},"obj":"Disease"},{"id":"24","span":{"begin":85,"end":93},"obj":"Disease"},{"id":"25","span":{"begin":94,"end":103},"obj":"Disease"},{"id":"26","span":{"begin":243,"end":251},"obj":"Disease"},{"id":"27","span":{"begin":252,"end":261},"obj":"Disease"},{"id":"28","span":{"begin":422,"end":430},"obj":"Disease"},{"id":"29","span":{"begin":431,"end":440},"obj":"Disease"},{"id":"30","span":{"begin":480,"end":486},"obj":"Disease"},{"id":"31","span":{"begin":594,"end":602},"obj":"Disease"},{"id":"32","span":{"begin":603,"end":609},"obj":"Disease"},{"id":"33","span":{"begin":611,"end":617},"obj":"Disease"},{"id":"34","span":{"begin":762,"end":768},"obj":"Disease"},{"id":"35","span":{"begin":841,"end":847},"obj":"Disease"},{"id":"36","span":{"begin":918,"end":926},"obj":"Disease"},{"id":"37","span":{"begin":927,"end":936},"obj":"Disease"},{"id":"38","span":{"begin":1122,"end":1130},"obj":"Disease"},{"id":"39","span":{"begin":1131,"end":1140},"obj":"Disease"},{"id":"40","span":{"begin":1244,"end":1252},"obj":"Disease"},{"id":"41","span":{"begin":1253,"end":1262},"obj":"Disease"},{"id":"42","span":{"begin":1487,"end":1493},"obj":"Disease"},{"id":"43","span":{"begin":1499,"end":1507},"obj":"Disease"}],"attributes":[{"id":"A2","pred":"tao:has_database_id","subj":"2","obj":"MESH:C000657245"},{"id":"A3","pred":"tao:has_database_id","subj":"3","obj":"MESH:D003643"},{"id":"A24","pred":"tao:has_database_id","subj":"24","obj":"MESH:C000657245"},{"id":"A25","pred":"tao:has_database_id","subj":"25","obj":"MESH:D003643"},{"id":"A26","pred":"tao:has_database_id","subj":"26","obj":"MESH:C000657245"},{"id":"A27","pred":"tao:has_database_id","subj":"27","obj":"MESH:D003643"},{"id":"A28","pred":"tao:has_database_id","subj":"28","obj":"MESH:C000657245"},{"id":"A29","pred":"tao:has_database_id","subj":"29","obj":"MESH:D003643"},{"id":"A30","pred":"tao:has_database_id","subj":"30","obj":"MESH:D003643"},{"id":"A31","pred":"tao:has_database_id","subj":"31","obj":"MESH:C000657245"},{"id":"A32","pred":"tao:has_database_id","subj":"32","obj":"MESH:D003643"},{"id":"A33","pred":"tao:has_database_id","subj":"33","obj":"MESH:D003643"},{"id":"A34","pred":"tao:has_database_id","subj":"34","obj":"MESH:D003643"},{"id":"A35","pred":"tao:has_database_id","subj":"35","obj":"MESH:D003643"},{"id":"A36","pred":"tao:has_database_id","subj":"36","obj":"MESH:C000657245"},{"id":"A37","pred":"tao:has_database_id","subj":"37","obj":"MESH:D003643"},{"id":"A38","pred":"tao:has_database_id","subj":"38","obj":"MESH:C000657245"},{"id":"A39","pred":"tao:has_database_id","subj":"39","obj":"MESH:D003643"},{"id":"A40","pred":"tao:has_database_id","subj":"40","obj":"MESH:C000657245"},{"id":"A41","pred":"tao:has_database_id","subj":"41","obj":"MESH:D003643"},{"id":"A42","pred":"tao:has_database_id","subj":"42","obj":"MESH:D003643"},{"id":"A43","pred":"tao:has_database_id","subj":"43","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":"COVID-19 mortality and neighborhood characteristics in Chicago.\nPURPOSE: To describe COVID-19 mortality in Chicago during the spring of 2020, and identify at the census-tract level neighborhood characteristics that were associated with higher COVID-19 mortality rates.\nMETHODS: Using Poisson regression and regularized linear regression (elastic net), we evaluated the association between neighborhood characteristics and COVID-19 mortality rates in Chicago through July 22 (2514 deaths across 795 populated census tracts).\nRESULTS: Black residents (31% of the population) accounted for 42% of COVID-19 deaths. Deaths among Hispanic/Latino residents occurred at a younger age (63 years, compared to 71 for white residents). Regarding residential setting, 52% of deaths among white residents occurred inside nursing homes, compared to 35% of deaths among Black residents and 17% among Hispanic/Latino residents. Higher COVID-19 mortality was seen in neighborhoods with heightened barriers to social distancing and low health insurance coverage. Neighborhoods with a higher percentage of white and Asian residents had lower COVID-19 mortality. The associations differed by race, suggesting that neighborhood context may be most tightly linked to COVID-19 mortality among white residents.\nCONCLUSIONS: We describe communities that may benefit from supportive services, and identify traits of communities that may benefit from targeted campaigns for prevention and testing to prevent future deaths from COVID-19."}

{"project":"LitCovid-sentences","denotations":[{"id":"T1","span":{"begin":0,"end":63},"obj":"Sentence"},{"id":"T2","span":{"begin":64,"end":72},"obj":"Sentence"},{"id":"T3","span":{"begin":73,"end":268},"obj":"Sentence"},{"id":"T4","span":{"begin":269,"end":277},"obj":"Sentence"},{"id":"T5","span":{"begin":278,"end":523},"obj":"Sentence"},{"id":"T6","span":{"begin":524,"end":532},"obj":"Sentence"},{"id":"T7","span":{"begin":533,"end":610},"obj":"Sentence"},{"id":"T8","span":{"begin":611,"end":723},"obj":"Sentence"},{"id":"T9","span":{"begin":724,"end":910},"obj":"Sentence"},{"id":"T10","span":{"begin":911,"end":1043},"obj":"Sentence"},{"id":"T11","span":{"begin":1044,"end":1141},"obj":"Sentence"},{"id":"T12","span":{"begin":1142,"end":1285},"obj":"Sentence"},{"id":"T13","span":{"begin":1286,"end":1298},"obj":"Sentence"},{"id":"T14","span":{"begin":1299,"end":1508},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"COVID-19 mortality and neighborhood characteristics in Chicago.\nPURPOSE: To describe COVID-19 mortality in Chicago during the spring of 2020, and identify at the census-tract level neighborhood characteristics that were associated with higher COVID-19 mortality rates.\nMETHODS: Using Poisson regression and regularized linear regression (elastic net), we evaluated the association between neighborhood characteristics and COVID-19 mortality rates in Chicago through July 22 (2514 deaths across 795 populated census tracts).\nRESULTS: Black residents (31% of the population) accounted for 42% of COVID-19 deaths. Deaths among Hispanic/Latino residents occurred at a younger age (63 years, compared to 71 for white residents). Regarding residential setting, 52% of deaths among white residents occurred inside nursing homes, compared to 35% of deaths among Black residents and 17% among Hispanic/Latino residents. Higher COVID-19 mortality was seen in neighborhoods with heightened barriers to social distancing and low health insurance coverage. Neighborhoods with a higher percentage of white and Asian residents had lower COVID-19 mortality. The associations differed by race, suggesting that neighborhood context may be most tightly linked to COVID-19 mortality among white residents.\nCONCLUSIONS: We describe communities that may benefit from supportive services, and identify traits of communities that may benefit from targeted campaigns for prevention and testing to prevent future deaths from COVID-19."}