PMC:7795931 / 0-479 JSONTXT

{"project":"LitCovid-PubTator","denotations":[{"id":"1","span":{"begin":67,"end":75},"obj":"Disease"},{"id":"5","span":{"begin":133,"end":141},"obj":"Disease"},{"id":"6","span":{"begin":282,"end":291},"obj":"Disease"}],"attributes":[{"id":"A1","pred":"tao:has_database_id","subj":"1","obj":"MESH:C000657245"},{"id":"A5","pred":"tao:has_database_id","subj":"5","obj":"MESH:C000657245"},{"id":"A6","pred":"tao:has_database_id","subj":"6","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":"Re-Thinking the Role of Government Information Intervention in the COVID-19 Pandemic: An Agent-Based Modeling Analysis\n\nAbstract\nThe COVID-19 pandemic imposes new challenges on the capability of governments in intervening with the information dissemination and reducing the risk of infection outbreak. To reveal the complexity behind government intervention decision, we build a bi-layer network diffusion model for the information-disease dynamics that were intervened in and co"}

{"project":"LitCovid-sentences","denotations":[{"id":"T1","span":{"begin":0,"end":85},"obj":"Sentence"},{"id":"T2","span":{"begin":86,"end":118},"obj":"Sentence"},{"id":"T3","span":{"begin":120,"end":128},"obj":"Sentence"},{"id":"T4","span":{"begin":129,"end":301},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"Re-Thinking the Role of Government Information Intervention in the COVID-19 Pandemic: An Agent-Based Modeling Analysis\n\nAbstract\nThe COVID-19 pandemic imposes new challenges on the capability of governments in intervening with the information dissemination and reducing the risk of infection outbreak. To reveal the complexity behind government intervention decision, we build a bi-layer network diffusion model for the information-disease dynamics that were intervened in and co"}