PMC:7175914 / 10118-10321 JSONTXT

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    LitCovid-PubTator

    {"project":"LitCovid-PubTator","denotations":[{"id":"73","span":{"begin":147,"end":155},"obj":"Disease"}],"attributes":[{"id":"A73","pred":"tao:has_database_id","subj":"73","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":"16], [Hu et al., 2019]). The details are displayed in Text methodology of the supplementary information.\n\nResult\n\nSimulation and prediction of the COVID-19 disease variations\nIn this section, the variati"}

    LitCovid-PMC-OGER-BB

    {"project":"LitCovid-PMC-OGER-BB","denotations":[{"id":"T66","span":{"begin":147,"end":155},"obj":"SP_7"}],"text":"16], [Hu et al., 2019]). The details are displayed in Text methodology of the supplementary information.\n\nResult\n\nSimulation and prediction of the COVID-19 disease variations\nIn this section, the variati"}

    LitCovid-PD-MONDO

    {"project":"LitCovid-PD-MONDO","denotations":[{"id":"T34","span":{"begin":147,"end":155},"obj":"Disease"}],"attributes":[{"id":"A34","pred":"mondo_id","subj":"T34","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"}],"text":"16], [Hu et al., 2019]). The details are displayed in Text methodology of the supplementary information.\n\nResult\n\nSimulation and prediction of the COVID-19 disease variations\nIn this section, the variati"}

    LitCovid-sentences

    {"project":"LitCovid-sentences","denotations":[{"id":"T60","span":{"begin":25,"end":104},"obj":"Sentence"},{"id":"T61","span":{"begin":106,"end":112},"obj":"Sentence"},{"id":"T62","span":{"begin":114,"end":174},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"16], [Hu et al., 2019]). The details are displayed in Text methodology of the supplementary information.\n\nResult\n\nSimulation and prediction of the COVID-19 disease variations\nIn this section, the variati"}