PMC:7210464 / 751-1089 JSONTXT

{"project":"LitCovid-PD-MONDO","denotations":[{"id":"T3","span":{"begin":223,"end":233},"obj":"Disease"},{"id":"T4","span":{"begin":284,"end":294},"obj":"Disease"}],"attributes":[{"id":"A3","pred":"mondo_id","subj":"T3","obj":"http://purl.obolibrary.org/obo/MONDO_0005550"},{"id":"A4","pred":"mondo_id","subj":"T4","obj":"http://purl.obolibrary.org/obo/MONDO_0005550"}],"text":"posed a higher risk to the destination regions than other factors, including geographic proximity and similarity in economic conditions. We quantify the effects of different public health measures in reducing the number of infections through counterfactual analyses. Over 1.4 million infections and 56,000 deaths may have been avoided as "}

{"project":"LitCovid-PD-CLO","denotations":[{"id":"T4","span":{"begin":6,"end":7},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"}],"text":"posed a higher risk to the destination regions than other factors, including geographic proximity and similarity in economic conditions. We quantify the effects of different public health measures in reducing the number of infections through counterfactual analyses. Over 1.4 million infections and 56,000 deaths may have been avoided as "}

{"project":"LitCovid-sentences","denotations":[{"id":"T9","span":{"begin":137,"end":266},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"posed a higher risk to the destination regions than other factors, including geographic proximity and similarity in economic conditions. We quantify the effects of different public health measures in reducing the number of infections through counterfactual analyses. Over 1.4 million infections and 56,000 deaths may have been avoided as "}

{"project":"LitCovid-PubTator","denotations":[{"id":"9","span":{"begin":223,"end":233},"obj":"Disease"},{"id":"10","span":{"begin":284,"end":294},"obj":"Disease"},{"id":"11","span":{"begin":306,"end":312},"obj":"Disease"}],"attributes":[{"id":"A9","pred":"tao:has_database_id","subj":"9","obj":"MESH:D007239"},{"id":"A10","pred":"tao:has_database_id","subj":"10","obj":"MESH:D007239"},{"id":"A11","pred":"tao:has_database_id","subj":"11","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":"posed a higher risk to the destination regions than other factors, including geographic proximity and similarity in economic conditions. We quantify the effects of different public health measures in reducing the number of infections through counterfactual analyses. Over 1.4 million infections and 56,000 deaths may have been avoided as "}