PMC:7078825 / 4634-4893 JSONTXT

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    LitCovid-PMC-OGER-BB

    {"project":"LitCovid-PMC-OGER-BB","denotations":[{"id":"T54","span":{"begin":79,"end":90},"obj":"NCBITaxon:11118"}],"text":"-19 and data from Google Trends, Baidu Index and Weibo Index for the keywords ‘coronavirus’ and ‘pneumonia’, China, January–February 2020\nTable Lag correlation coefficients and p values between Internet search data and daily new laboratory-confirmed/suspecte"}

    LitCovid-PD-MONDO

    {"project":"LitCovid-PD-MONDO","denotations":[{"id":"T24","span":{"begin":97,"end":106},"obj":"Disease"}],"attributes":[{"id":"A24","pred":"mondo_id","subj":"T24","obj":"http://purl.obolibrary.org/obo/MONDO_0005249"}],"text":"-19 and data from Google Trends, Baidu Index and Weibo Index for the keywords ‘coronavirus’ and ‘pneumonia’, China, January–February 2020\nTable Lag correlation coefficients and p values between Internet search data and daily new laboratory-confirmed/suspecte"}

    LitCovid-PD-CLO

    {"project":"LitCovid-PD-CLO","denotations":[{"id":"T18","span":{"begin":145,"end":148},"obj":"http://purl.obolibrary.org/obo/CLO_0050236"}],"text":"-19 and data from Google Trends, Baidu Index and Weibo Index for the keywords ‘coronavirus’ and ‘pneumonia’, China, January–February 2020\nTable Lag correlation coefficients and p values between Internet search data and daily new laboratory-confirmed/suspecte"}

    LitCovid-PD-HP

    {"project":"LitCovid-PD-HP","denotations":[{"id":"T9","span":{"begin":97,"end":106},"obj":"Phenotype"}],"attributes":[{"id":"A9","pred":"hp_id","subj":"T9","obj":"http://purl.obolibrary.org/obo/HP_0002090"}],"text":"-19 and data from Google Trends, Baidu Index and Weibo Index for the keywords ‘coronavirus’ and ‘pneumonia’, China, January–February 2020\nTable Lag correlation coefficients and p values between Internet search data and daily new laboratory-confirmed/suspecte"}

    LitCovid-PubTator

    {"project":"LitCovid-PubTator","denotations":[{"id":"77","span":{"begin":79,"end":90},"obj":"Species"},{"id":"79","span":{"begin":97,"end":106},"obj":"Disease"}],"attributes":[{"id":"A77","pred":"tao:has_database_id","subj":"77","obj":"Tax:11118"},{"id":"A79","pred":"tao:has_database_id","subj":"79","obj":"MESH:D011014"}],"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":"-19 and data from Google Trends, Baidu Index and Weibo Index for the keywords ‘coronavirus’ and ‘pneumonia’, China, January–February 2020\nTable Lag correlation coefficients and p values between Internet search data and daily new laboratory-confirmed/suspecte"}