PMC:7078825 / 4772-8151 JSONTXT

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    LitCovid-PMC-OGER-BB

    {"project":"LitCovid-PMC-OGER-BB","denotations":[{"id":"T56","span":{"begin":123,"end":131},"obj":"SP_7"}],"text":"Table Lag correlation coefficients and p values between Internet search data and daily new laboratory-confirmed/suspected COVID-19 cases, China, January–February 2020\nDays earlier Google Trends Baidu Index Sina Weibo Index\nCoronavirus p Pneumonia p Coronavirus p Pneumonia p Coronavirus p Pneumonia p\nNew laboratory-confirmed cases 0 0.176 0.370 −0.035 0.861 0.021 0.917 0.129 0.513 0.106 0.593 0.109 0.582\n1 0.324 0.093 0.122 0.537 0.160 0.416 0.265 0.172 0.202 0.303 0.190 0.332\n2 0.455 0.015 0.271 0.164 0.299 0.122 0.411 0.030 0.346 0.072 0.298 0.123\n3 0.561 0.002 0.388 0.041 0.406 0.032 0.516 0.005 0.431 0.022 0.408 0.031\n4 0.672 \u003c 0.001 0.505 0.006 0.529 0.004 0.641 \u003c 0.001 0.498 0.007 0.470 0.012\n5 0.779  \u003c 0.001 0.606 0.001 0.624 \u003c 0.001 0.722  \u003c 0.001 0.562 0.002 0.553 0.002\n6 0.850  \u003c 0.001 0.712  \u003c 0.001 0.706  \u003c 0.001 0.808  \u003c 0.001 0.679 \u003c 0.001 0.668 \u003c 0.001\n7 0.902  \u003c 0.001 0.777  \u003c 0.001 0.750  \u003c 0.001 0.861  \u003c 0.001 0.751  \u003c 0.001 0.754  \u003c 0.001\n8 0.944  \u003c 0.001 0.835  \u003c 0.001 0.823  \u003c 0.001 0.902   \u003c 0.001 0.829  \u003c 0.001 0.817  \u003c 0.001\n9 0.958   \u003c 0.001 0.878  \u003c 0.001 0.887  \u003c 0.001 0.892  \u003c 0.001 0.876  \u003c 0.001 0.872  \u003c 0.001\n10 0.953  \u003c 0.001 0.893   \u003c 0.001 0.928  \u003c 0.001 0.873  \u003c 0.001 0.921  \u003c 0.001 0.899   \u003c 0.001\n11 0.924  \u003c 0.001 0.845  \u003c 0.001 0.925  \u003c 0.001 0.786  \u003c 0.001 0.917  \u003c 0.001 0.875  \u003c 0.001\n12 0.857  \u003c 0.001 0.818  \u003c 0.001 0.933   \u003c 0.001 0.715  \u003c 0.001 0.944   \u003c 0.001 0.875  \u003c 0.001\n13 0.815  \u003c 0.001 0.762  \u003c 0.001 0.908  \u003c 0.001 0.609 0.001 0.916  \u003c 0.001 0.812  \u003c 0.001\n14 0.783  \u003c 0.001 0.697 \u003c 0.001 0.858  \u003c 0.001 0.496 0.007 0.885  \u003c 0.001 0.733  \u003c 0.001\nNew suspected cases 0 −0.003 0.989 −0.372 0.073 −0.309 0.142 −0.091 0.671 −0.279 0.187 −0.309 0.142\n1 0.246 0.246 −0.116 0.590 −0.068 0.753 0.141 0.511 −0.078 0.716 −0.103 0.630\n2 0.413 0.045 0.104 0.630 0.125 0.560 0.346 0.098 0.089 0.680 0.050 0.818\n3 0.614 0.001 0.312 0.138 0.352 0.091 0.551 0.005 0.253 0.233 0.248 0.243\n4 0.768  \u003c 0.001 0.514 0.010 0.538 0.007 0.697 \u003c 0.001 0.431 0.035 0.383 0.065\n5 0.832  \u003c 0.001 0.687 \u003c 0.001 0.670 \u003c 0.001 0.816  \u003c 0.001 0.520 0.009 0.501 0.013\n6 0.912   \u003c 0.001 0.771  \u003c 0.001 0.725  \u003c 0.001 0.895  \u003c 0.001 0.672 \u003c 0.001 0.670 \u003c 0.001\n7 0.933  \u003c 0.001 0.850  \u003c 0.001 0.830  \u003c 0.001 0.914  \u003c 0.001 0.813  \u003c 0.001 0.872  \u003c 0.001\n8 0.875  \u003c 0.001 0.960   \u003c 0.001 0.906   \u003c 0.001 0.926   \u003c 0.001 0.924   \u003c 0.001 0.907   \u003c 0.001\n9 0.787  \u003c 0.001 0.865  \u003c 0.001 0.882  \u003c 0.001 0.850  \u003c 0.001 0.883  \u003c 0.001 0.899  \u003c 0.001\n10 0.744  \u003c 0.001 0.827  \u003c 0.001 0.841  \u003c 0.001 0.766  \u003c 0.001 0.818  \u003c 0.001 0.832  \u003c 0.001\n11 0.671 \u003c 0.001 0.770  \u003c 0.001 0.790  \u003c 0.001 0.698 \u003c 0.001 0.781  \u003c 0.001 0.802  \u003c 0.001\n12 0.544 0.006 0.693 \u003c 0.001 0.686 \u003c 0.001 0.559 0.005 0.697 \u003c 0.001 0.683 \u003c 0.001\n13 0.482 0.017 0.578 0.003 0.583 0.003 0.454 0.026 0.622 0.001 0.600 0.002\n14 0.497 0.013 0.448 0.028 0.547 0.006 0.288 0.173 0.609 0.002 0.550 0.005\nShaded text: high correlation with r \u003e 0.7. Text in italics: highest correlation."}

    LitCovid-PD-MONDO

    {"project":"LitCovid-PD-MONDO","denotations":[{"id":"T25","span":{"begin":123,"end":131},"obj":"Disease"},{"id":"T26","span":{"begin":243,"end":252},"obj":"Disease"},{"id":"T27","span":{"begin":273,"end":282},"obj":"Disease"},{"id":"T28","span":{"begin":303,"end":312},"obj":"Disease"}],"attributes":[{"id":"A25","pred":"mondo_id","subj":"T25","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A26","pred":"mondo_id","subj":"T26","obj":"http://purl.obolibrary.org/obo/MONDO_0005249"},{"id":"A27","pred":"mondo_id","subj":"T27","obj":"http://purl.obolibrary.org/obo/MONDO_0005249"},{"id":"A28","pred":"mondo_id","subj":"T28","obj":"http://purl.obolibrary.org/obo/MONDO_0005249"}],"text":"Table Lag correlation coefficients and p values between Internet search data and daily new laboratory-confirmed/suspected COVID-19 cases, China, January–February 2020\nDays earlier Google Trends Baidu Index Sina Weibo Index\nCoronavirus p Pneumonia p Coronavirus p Pneumonia p Coronavirus p Pneumonia p\nNew laboratory-confirmed cases 0 0.176 0.370 −0.035 0.861 0.021 0.917 0.129 0.513 0.106 0.593 0.109 0.582\n1 0.324 0.093 0.122 0.537 0.160 0.416 0.265 0.172 0.202 0.303 0.190 0.332\n2 0.455 0.015 0.271 0.164 0.299 0.122 0.411 0.030 0.346 0.072 0.298 0.123\n3 0.561 0.002 0.388 0.041 0.406 0.032 0.516 0.005 0.431 0.022 0.408 0.031\n4 0.672 \u003c 0.001 0.505 0.006 0.529 0.004 0.641 \u003c 0.001 0.498 0.007 0.470 0.012\n5 0.779  \u003c 0.001 0.606 0.001 0.624 \u003c 0.001 0.722  \u003c 0.001 0.562 0.002 0.553 0.002\n6 0.850  \u003c 0.001 0.712  \u003c 0.001 0.706  \u003c 0.001 0.808  \u003c 0.001 0.679 \u003c 0.001 0.668 \u003c 0.001\n7 0.902  \u003c 0.001 0.777  \u003c 0.001 0.750  \u003c 0.001 0.861  \u003c 0.001 0.751  \u003c 0.001 0.754  \u003c 0.001\n8 0.944  \u003c 0.001 0.835  \u003c 0.001 0.823  \u003c 0.001 0.902   \u003c 0.001 0.829  \u003c 0.001 0.817  \u003c 0.001\n9 0.958   \u003c 0.001 0.878  \u003c 0.001 0.887  \u003c 0.001 0.892  \u003c 0.001 0.876  \u003c 0.001 0.872  \u003c 0.001\n10 0.953  \u003c 0.001 0.893   \u003c 0.001 0.928  \u003c 0.001 0.873  \u003c 0.001 0.921  \u003c 0.001 0.899   \u003c 0.001\n11 0.924  \u003c 0.001 0.845  \u003c 0.001 0.925  \u003c 0.001 0.786  \u003c 0.001 0.917  \u003c 0.001 0.875  \u003c 0.001\n12 0.857  \u003c 0.001 0.818  \u003c 0.001 0.933   \u003c 0.001 0.715  \u003c 0.001 0.944   \u003c 0.001 0.875  \u003c 0.001\n13 0.815  \u003c 0.001 0.762  \u003c 0.001 0.908  \u003c 0.001 0.609 0.001 0.916  \u003c 0.001 0.812  \u003c 0.001\n14 0.783  \u003c 0.001 0.697 \u003c 0.001 0.858  \u003c 0.001 0.496 0.007 0.885  \u003c 0.001 0.733  \u003c 0.001\nNew suspected cases 0 −0.003 0.989 −0.372 0.073 −0.309 0.142 −0.091 0.671 −0.279 0.187 −0.309 0.142\n1 0.246 0.246 −0.116 0.590 −0.068 0.753 0.141 0.511 −0.078 0.716 −0.103 0.630\n2 0.413 0.045 0.104 0.630 0.125 0.560 0.346 0.098 0.089 0.680 0.050 0.818\n3 0.614 0.001 0.312 0.138 0.352 0.091 0.551 0.005 0.253 0.233 0.248 0.243\n4 0.768  \u003c 0.001 0.514 0.010 0.538 0.007 0.697 \u003c 0.001 0.431 0.035 0.383 0.065\n5 0.832  \u003c 0.001 0.687 \u003c 0.001 0.670 \u003c 0.001 0.816  \u003c 0.001 0.520 0.009 0.501 0.013\n6 0.912   \u003c 0.001 0.771  \u003c 0.001 0.725  \u003c 0.001 0.895  \u003c 0.001 0.672 \u003c 0.001 0.670 \u003c 0.001\n7 0.933  \u003c 0.001 0.850  \u003c 0.001 0.830  \u003c 0.001 0.914  \u003c 0.001 0.813  \u003c 0.001 0.872  \u003c 0.001\n8 0.875  \u003c 0.001 0.960   \u003c 0.001 0.906   \u003c 0.001 0.926   \u003c 0.001 0.924   \u003c 0.001 0.907   \u003c 0.001\n9 0.787  \u003c 0.001 0.865  \u003c 0.001 0.882  \u003c 0.001 0.850  \u003c 0.001 0.883  \u003c 0.001 0.899  \u003c 0.001\n10 0.744  \u003c 0.001 0.827  \u003c 0.001 0.841  \u003c 0.001 0.766  \u003c 0.001 0.818  \u003c 0.001 0.832  \u003c 0.001\n11 0.671 \u003c 0.001 0.770  \u003c 0.001 0.790  \u003c 0.001 0.698 \u003c 0.001 0.781  \u003c 0.001 0.802  \u003c 0.001\n12 0.544 0.006 0.693 \u003c 0.001 0.686 \u003c 0.001 0.559 0.005 0.697 \u003c 0.001 0.683 \u003c 0.001\n13 0.482 0.017 0.578 0.003 0.583 0.003 0.454 0.026 0.622 0.001 0.600 0.002\n14 0.497 0.013 0.448 0.028 0.547 0.006 0.288 0.173 0.609 0.002 0.550 0.005\nShaded text: high correlation with r \u003e 0.7. Text in italics: highest correlation."}

    LitCovid-PD-CLO

    {"project":"LitCovid-PD-CLO","denotations":[{"id":"T18","span":{"begin":7,"end":10},"obj":"http://purl.obolibrary.org/obo/CLO_0050236"},{"id":"T19","span":{"begin":1408,"end":1410},"obj":"http://purl.obolibrary.org/obo/CLO_0053733"},{"id":"T20","span":{"begin":2926,"end":2928},"obj":"http://purl.obolibrary.org/obo/CLO_0053733"}],"text":"Table Lag correlation coefficients and p values between Internet search data and daily new laboratory-confirmed/suspected COVID-19 cases, China, January–February 2020\nDays earlier Google Trends Baidu Index Sina Weibo Index\nCoronavirus p Pneumonia p Coronavirus p Pneumonia p Coronavirus p Pneumonia p\nNew laboratory-confirmed cases 0 0.176 0.370 −0.035 0.861 0.021 0.917 0.129 0.513 0.106 0.593 0.109 0.582\n1 0.324 0.093 0.122 0.537 0.160 0.416 0.265 0.172 0.202 0.303 0.190 0.332\n2 0.455 0.015 0.271 0.164 0.299 0.122 0.411 0.030 0.346 0.072 0.298 0.123\n3 0.561 0.002 0.388 0.041 0.406 0.032 0.516 0.005 0.431 0.022 0.408 0.031\n4 0.672 \u003c 0.001 0.505 0.006 0.529 0.004 0.641 \u003c 0.001 0.498 0.007 0.470 0.012\n5 0.779  \u003c 0.001 0.606 0.001 0.624 \u003c 0.001 0.722  \u003c 0.001 0.562 0.002 0.553 0.002\n6 0.850  \u003c 0.001 0.712  \u003c 0.001 0.706  \u003c 0.001 0.808  \u003c 0.001 0.679 \u003c 0.001 0.668 \u003c 0.001\n7 0.902  \u003c 0.001 0.777  \u003c 0.001 0.750  \u003c 0.001 0.861  \u003c 0.001 0.751  \u003c 0.001 0.754  \u003c 0.001\n8 0.944  \u003c 0.001 0.835  \u003c 0.001 0.823  \u003c 0.001 0.902   \u003c 0.001 0.829  \u003c 0.001 0.817  \u003c 0.001\n9 0.958   \u003c 0.001 0.878  \u003c 0.001 0.887  \u003c 0.001 0.892  \u003c 0.001 0.876  \u003c 0.001 0.872  \u003c 0.001\n10 0.953  \u003c 0.001 0.893   \u003c 0.001 0.928  \u003c 0.001 0.873  \u003c 0.001 0.921  \u003c 0.001 0.899   \u003c 0.001\n11 0.924  \u003c 0.001 0.845  \u003c 0.001 0.925  \u003c 0.001 0.786  \u003c 0.001 0.917  \u003c 0.001 0.875  \u003c 0.001\n12 0.857  \u003c 0.001 0.818  \u003c 0.001 0.933   \u003c 0.001 0.715  \u003c 0.001 0.944   \u003c 0.001 0.875  \u003c 0.001\n13 0.815  \u003c 0.001 0.762  \u003c 0.001 0.908  \u003c 0.001 0.609 0.001 0.916  \u003c 0.001 0.812  \u003c 0.001\n14 0.783  \u003c 0.001 0.697 \u003c 0.001 0.858  \u003c 0.001 0.496 0.007 0.885  \u003c 0.001 0.733  \u003c 0.001\nNew suspected cases 0 −0.003 0.989 −0.372 0.073 −0.309 0.142 −0.091 0.671 −0.279 0.187 −0.309 0.142\n1 0.246 0.246 −0.116 0.590 −0.068 0.753 0.141 0.511 −0.078 0.716 −0.103 0.630\n2 0.413 0.045 0.104 0.630 0.125 0.560 0.346 0.098 0.089 0.680 0.050 0.818\n3 0.614 0.001 0.312 0.138 0.352 0.091 0.551 0.005 0.253 0.233 0.248 0.243\n4 0.768  \u003c 0.001 0.514 0.010 0.538 0.007 0.697 \u003c 0.001 0.431 0.035 0.383 0.065\n5 0.832  \u003c 0.001 0.687 \u003c 0.001 0.670 \u003c 0.001 0.816  \u003c 0.001 0.520 0.009 0.501 0.013\n6 0.912   \u003c 0.001 0.771  \u003c 0.001 0.725  \u003c 0.001 0.895  \u003c 0.001 0.672 \u003c 0.001 0.670 \u003c 0.001\n7 0.933  \u003c 0.001 0.850  \u003c 0.001 0.830  \u003c 0.001 0.914  \u003c 0.001 0.813  \u003c 0.001 0.872  \u003c 0.001\n8 0.875  \u003c 0.001 0.960   \u003c 0.001 0.906   \u003c 0.001 0.926   \u003c 0.001 0.924   \u003c 0.001 0.907   \u003c 0.001\n9 0.787  \u003c 0.001 0.865  \u003c 0.001 0.882  \u003c 0.001 0.850  \u003c 0.001 0.883  \u003c 0.001 0.899  \u003c 0.001\n10 0.744  \u003c 0.001 0.827  \u003c 0.001 0.841  \u003c 0.001 0.766  \u003c 0.001 0.818  \u003c 0.001 0.832  \u003c 0.001\n11 0.671 \u003c 0.001 0.770  \u003c 0.001 0.790  \u003c 0.001 0.698 \u003c 0.001 0.781  \u003c 0.001 0.802  \u003c 0.001\n12 0.544 0.006 0.693 \u003c 0.001 0.686 \u003c 0.001 0.559 0.005 0.697 \u003c 0.001 0.683 \u003c 0.001\n13 0.482 0.017 0.578 0.003 0.583 0.003 0.454 0.026 0.622 0.001 0.600 0.002\n14 0.497 0.013 0.448 0.028 0.547 0.006 0.288 0.173 0.609 0.002 0.550 0.005\nShaded text: high correlation with r \u003e 0.7. Text in italics: highest correlation."}

    LitCovid-sentences

    {"project":"LitCovid-sentences","denotations":[{"id":"T31","span":{"begin":0,"end":167},"obj":"Sentence"},{"id":"T32","span":{"begin":168,"end":226},"obj":"Sentence"},{"id":"T33","span":{"begin":227,"end":315},"obj":"Sentence"},{"id":"T34","span":{"begin":316,"end":434},"obj":"Sentence"},{"id":"T35","span":{"begin":435,"end":520},"obj":"Sentence"},{"id":"T36","span":{"begin":521,"end":606},"obj":"Sentence"},{"id":"T37","span":{"begin":607,"end":692},"obj":"Sentence"},{"id":"T38","span":{"begin":693,"end":782},"obj":"Sentence"},{"id":"T39","span":{"begin":783,"end":876},"obj":"Sentence"},{"id":"T40","span":{"begin":877,"end":978},"obj":"Sentence"},{"id":"T41","span":{"begin":979,"end":1082},"obj":"Sentence"},{"id":"T42","span":{"begin":1083,"end":1189},"obj":"Sentence"},{"id":"T43","span":{"begin":1190,"end":1296},"obj":"Sentence"},{"id":"T44","span":{"begin":1297,"end":1407},"obj":"Sentence"},{"id":"T45","span":{"begin":1408,"end":1512},"obj":"Sentence"},{"id":"T46","span":{"begin":1513,"end":1623},"obj":"Sentence"},{"id":"T47","span":{"begin":1624,"end":1725},"obj":"Sentence"},{"id":"T48","span":{"begin":1726,"end":1826},"obj":"Sentence"},{"id":"T49","span":{"begin":1827,"end":1939},"obj":"Sentence"},{"id":"T50","span":{"begin":1940,"end":2029},"obj":"Sentence"},{"id":"T51","span":{"begin":2030,"end":2115},"obj":"Sentence"},{"id":"T52","span":{"begin":2116,"end":2201},"obj":"Sentence"},{"id":"T53","span":{"begin":2202,"end":2292},"obj":"Sentence"},{"id":"T54","span":{"begin":2293,"end":2388},"obj":"Sentence"},{"id":"T55","span":{"begin":2389,"end":2493},"obj":"Sentence"},{"id":"T56","span":{"begin":2494,"end":2597},"obj":"Sentence"},{"id":"T57","span":{"begin":2598,"end":2716},"obj":"Sentence"},{"id":"T58","span":{"begin":2717,"end":2820},"obj":"Sentence"},{"id":"T59","span":{"begin":2821,"end":2925},"obj":"Sentence"},{"id":"T60","span":{"begin":2926,"end":3028},"obj":"Sentence"},{"id":"T61","span":{"begin":3029,"end":3123},"obj":"Sentence"},{"id":"T62","span":{"begin":3124,"end":3210},"obj":"Sentence"},{"id":"T63","span":{"begin":3211,"end":3297},"obj":"Sentence"},{"id":"T64","span":{"begin":3298,"end":3341},"obj":"Sentence"},{"id":"T65","span":{"begin":3342,"end":3379},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"Table Lag correlation coefficients and p values between Internet search data and daily new laboratory-confirmed/suspected COVID-19 cases, China, January–February 2020\nDays earlier Google Trends Baidu Index Sina Weibo Index\nCoronavirus p Pneumonia p Coronavirus p Pneumonia p Coronavirus p Pneumonia p\nNew laboratory-confirmed cases 0 0.176 0.370 −0.035 0.861 0.021 0.917 0.129 0.513 0.106 0.593 0.109 0.582\n1 0.324 0.093 0.122 0.537 0.160 0.416 0.265 0.172 0.202 0.303 0.190 0.332\n2 0.455 0.015 0.271 0.164 0.299 0.122 0.411 0.030 0.346 0.072 0.298 0.123\n3 0.561 0.002 0.388 0.041 0.406 0.032 0.516 0.005 0.431 0.022 0.408 0.031\n4 0.672 \u003c 0.001 0.505 0.006 0.529 0.004 0.641 \u003c 0.001 0.498 0.007 0.470 0.012\n5 0.779  \u003c 0.001 0.606 0.001 0.624 \u003c 0.001 0.722  \u003c 0.001 0.562 0.002 0.553 0.002\n6 0.850  \u003c 0.001 0.712  \u003c 0.001 0.706  \u003c 0.001 0.808  \u003c 0.001 0.679 \u003c 0.001 0.668 \u003c 0.001\n7 0.902  \u003c 0.001 0.777  \u003c 0.001 0.750  \u003c 0.001 0.861  \u003c 0.001 0.751  \u003c 0.001 0.754  \u003c 0.001\n8 0.944  \u003c 0.001 0.835  \u003c 0.001 0.823  \u003c 0.001 0.902   \u003c 0.001 0.829  \u003c 0.001 0.817  \u003c 0.001\n9 0.958   \u003c 0.001 0.878  \u003c 0.001 0.887  \u003c 0.001 0.892  \u003c 0.001 0.876  \u003c 0.001 0.872  \u003c 0.001\n10 0.953  \u003c 0.001 0.893   \u003c 0.001 0.928  \u003c 0.001 0.873  \u003c 0.001 0.921  \u003c 0.001 0.899   \u003c 0.001\n11 0.924  \u003c 0.001 0.845  \u003c 0.001 0.925  \u003c 0.001 0.786  \u003c 0.001 0.917  \u003c 0.001 0.875  \u003c 0.001\n12 0.857  \u003c 0.001 0.818  \u003c 0.001 0.933   \u003c 0.001 0.715  \u003c 0.001 0.944   \u003c 0.001 0.875  \u003c 0.001\n13 0.815  \u003c 0.001 0.762  \u003c 0.001 0.908  \u003c 0.001 0.609 0.001 0.916  \u003c 0.001 0.812  \u003c 0.001\n14 0.783  \u003c 0.001 0.697 \u003c 0.001 0.858  \u003c 0.001 0.496 0.007 0.885  \u003c 0.001 0.733  \u003c 0.001\nNew suspected cases 0 −0.003 0.989 −0.372 0.073 −0.309 0.142 −0.091 0.671 −0.279 0.187 −0.309 0.142\n1 0.246 0.246 −0.116 0.590 −0.068 0.753 0.141 0.511 −0.078 0.716 −0.103 0.630\n2 0.413 0.045 0.104 0.630 0.125 0.560 0.346 0.098 0.089 0.680 0.050 0.818\n3 0.614 0.001 0.312 0.138 0.352 0.091 0.551 0.005 0.253 0.233 0.248 0.243\n4 0.768  \u003c 0.001 0.514 0.010 0.538 0.007 0.697 \u003c 0.001 0.431 0.035 0.383 0.065\n5 0.832  \u003c 0.001 0.687 \u003c 0.001 0.670 \u003c 0.001 0.816  \u003c 0.001 0.520 0.009 0.501 0.013\n6 0.912   \u003c 0.001 0.771  \u003c 0.001 0.725  \u003c 0.001 0.895  \u003c 0.001 0.672 \u003c 0.001 0.670 \u003c 0.001\n7 0.933  \u003c 0.001 0.850  \u003c 0.001 0.830  \u003c 0.001 0.914  \u003c 0.001 0.813  \u003c 0.001 0.872  \u003c 0.001\n8 0.875  \u003c 0.001 0.960   \u003c 0.001 0.906   \u003c 0.001 0.926   \u003c 0.001 0.924   \u003c 0.001 0.907   \u003c 0.001\n9 0.787  \u003c 0.001 0.865  \u003c 0.001 0.882  \u003c 0.001 0.850  \u003c 0.001 0.883  \u003c 0.001 0.899  \u003c 0.001\n10 0.744  \u003c 0.001 0.827  \u003c 0.001 0.841  \u003c 0.001 0.766  \u003c 0.001 0.818  \u003c 0.001 0.832  \u003c 0.001\n11 0.671 \u003c 0.001 0.770  \u003c 0.001 0.790  \u003c 0.001 0.698 \u003c 0.001 0.781  \u003c 0.001 0.802  \u003c 0.001\n12 0.544 0.006 0.693 \u003c 0.001 0.686 \u003c 0.001 0.559 0.005 0.697 \u003c 0.001 0.683 \u003c 0.001\n13 0.482 0.017 0.578 0.003 0.583 0.003 0.454 0.026 0.622 0.001 0.600 0.002\n14 0.497 0.013 0.448 0.028 0.547 0.006 0.288 0.173 0.609 0.002 0.550 0.005\nShaded text: high correlation with r \u003e 0.7. Text in italics: highest correlation."}

    LitCovid-PD-HP

    {"project":"LitCovid-PD-HP","denotations":[{"id":"T10","span":{"begin":243,"end":252},"obj":"Phenotype"},{"id":"T11","span":{"begin":273,"end":282},"obj":"Phenotype"},{"id":"T12","span":{"begin":303,"end":312},"obj":"Phenotype"}],"attributes":[{"id":"A10","pred":"hp_id","subj":"T10","obj":"http://purl.obolibrary.org/obo/HP_0002090"},{"id":"A11","pred":"hp_id","subj":"T11","obj":"http://purl.obolibrary.org/obo/HP_0002090"},{"id":"A12","pred":"hp_id","subj":"T12","obj":"http://purl.obolibrary.org/obo/HP_0002090"}],"text":"Table Lag correlation coefficients and p values between Internet search data and daily new laboratory-confirmed/suspected COVID-19 cases, China, January–February 2020\nDays earlier Google Trends Baidu Index Sina Weibo Index\nCoronavirus p Pneumonia p Coronavirus p Pneumonia p Coronavirus p Pneumonia p\nNew laboratory-confirmed cases 0 0.176 0.370 −0.035 0.861 0.021 0.917 0.129 0.513 0.106 0.593 0.109 0.582\n1 0.324 0.093 0.122 0.537 0.160 0.416 0.265 0.172 0.202 0.303 0.190 0.332\n2 0.455 0.015 0.271 0.164 0.299 0.122 0.411 0.030 0.346 0.072 0.298 0.123\n3 0.561 0.002 0.388 0.041 0.406 0.032 0.516 0.005 0.431 0.022 0.408 0.031\n4 0.672 \u003c 0.001 0.505 0.006 0.529 0.004 0.641 \u003c 0.001 0.498 0.007 0.470 0.012\n5 0.779  \u003c 0.001 0.606 0.001 0.624 \u003c 0.001 0.722  \u003c 0.001 0.562 0.002 0.553 0.002\n6 0.850  \u003c 0.001 0.712  \u003c 0.001 0.706  \u003c 0.001 0.808  \u003c 0.001 0.679 \u003c 0.001 0.668 \u003c 0.001\n7 0.902  \u003c 0.001 0.777  \u003c 0.001 0.750  \u003c 0.001 0.861  \u003c 0.001 0.751  \u003c 0.001 0.754  \u003c 0.001\n8 0.944  \u003c 0.001 0.835  \u003c 0.001 0.823  \u003c 0.001 0.902   \u003c 0.001 0.829  \u003c 0.001 0.817  \u003c 0.001\n9 0.958   \u003c 0.001 0.878  \u003c 0.001 0.887  \u003c 0.001 0.892  \u003c 0.001 0.876  \u003c 0.001 0.872  \u003c 0.001\n10 0.953  \u003c 0.001 0.893   \u003c 0.001 0.928  \u003c 0.001 0.873  \u003c 0.001 0.921  \u003c 0.001 0.899   \u003c 0.001\n11 0.924  \u003c 0.001 0.845  \u003c 0.001 0.925  \u003c 0.001 0.786  \u003c 0.001 0.917  \u003c 0.001 0.875  \u003c 0.001\n12 0.857  \u003c 0.001 0.818  \u003c 0.001 0.933   \u003c 0.001 0.715  \u003c 0.001 0.944   \u003c 0.001 0.875  \u003c 0.001\n13 0.815  \u003c 0.001 0.762  \u003c 0.001 0.908  \u003c 0.001 0.609 0.001 0.916  \u003c 0.001 0.812  \u003c 0.001\n14 0.783  \u003c 0.001 0.697 \u003c 0.001 0.858  \u003c 0.001 0.496 0.007 0.885  \u003c 0.001 0.733  \u003c 0.001\nNew suspected cases 0 −0.003 0.989 −0.372 0.073 −0.309 0.142 −0.091 0.671 −0.279 0.187 −0.309 0.142\n1 0.246 0.246 −0.116 0.590 −0.068 0.753 0.141 0.511 −0.078 0.716 −0.103 0.630\n2 0.413 0.045 0.104 0.630 0.125 0.560 0.346 0.098 0.089 0.680 0.050 0.818\n3 0.614 0.001 0.312 0.138 0.352 0.091 0.551 0.005 0.253 0.233 0.248 0.243\n4 0.768  \u003c 0.001 0.514 0.010 0.538 0.007 0.697 \u003c 0.001 0.431 0.035 0.383 0.065\n5 0.832  \u003c 0.001 0.687 \u003c 0.001 0.670 \u003c 0.001 0.816  \u003c 0.001 0.520 0.009 0.501 0.013\n6 0.912   \u003c 0.001 0.771  \u003c 0.001 0.725  \u003c 0.001 0.895  \u003c 0.001 0.672 \u003c 0.001 0.670 \u003c 0.001\n7 0.933  \u003c 0.001 0.850  \u003c 0.001 0.830  \u003c 0.001 0.914  \u003c 0.001 0.813  \u003c 0.001 0.872  \u003c 0.001\n8 0.875  \u003c 0.001 0.960   \u003c 0.001 0.906   \u003c 0.001 0.926   \u003c 0.001 0.924   \u003c 0.001 0.907   \u003c 0.001\n9 0.787  \u003c 0.001 0.865  \u003c 0.001 0.882  \u003c 0.001 0.850  \u003c 0.001 0.883  \u003c 0.001 0.899  \u003c 0.001\n10 0.744  \u003c 0.001 0.827  \u003c 0.001 0.841  \u003c 0.001 0.766  \u003c 0.001 0.818  \u003c 0.001 0.832  \u003c 0.001\n11 0.671 \u003c 0.001 0.770  \u003c 0.001 0.790  \u003c 0.001 0.698 \u003c 0.001 0.781  \u003c 0.001 0.802  \u003c 0.001\n12 0.544 0.006 0.693 \u003c 0.001 0.686 \u003c 0.001 0.559 0.005 0.697 \u003c 0.001 0.683 \u003c 0.001\n13 0.482 0.017 0.578 0.003 0.583 0.003 0.454 0.026 0.622 0.001 0.600 0.002\n14 0.497 0.013 0.448 0.028 0.547 0.006 0.288 0.173 0.609 0.002 0.550 0.005\nShaded text: high correlation with r \u003e 0.7. Text in italics: highest correlation."}

    LitCovid-PubTator

    {"project":"LitCovid-PubTator","denotations":[{"id":"82","span":{"begin":210,"end":214},"obj":"Species"},{"id":"83","span":{"begin":227,"end":312},"obj":"Disease"},{"id":"85","span":{"begin":123,"end":131},"obj":"Disease"}],"attributes":[{"id":"A82","pred":"tao:has_database_id","subj":"82","obj":"Tax:647292"},{"id":"A83","pred":"tao:has_database_id","subj":"83","obj":"MESH:D018352"},{"id":"A85","pred":"tao:has_database_id","subj":"85","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":"Table Lag correlation coefficients and p values between Internet search data and daily new laboratory-confirmed/suspected COVID-19 cases, China, January–February 2020\nDays earlier Google Trends Baidu Index Sina Weibo Index\nCoronavirus p Pneumonia p Coronavirus p Pneumonia p Coronavirus p Pneumonia p\nNew laboratory-confirmed cases 0 0.176 0.370 −0.035 0.861 0.021 0.917 0.129 0.513 0.106 0.593 0.109 0.582\n1 0.324 0.093 0.122 0.537 0.160 0.416 0.265 0.172 0.202 0.303 0.190 0.332\n2 0.455 0.015 0.271 0.164 0.299 0.122 0.411 0.030 0.346 0.072 0.298 0.123\n3 0.561 0.002 0.388 0.041 0.406 0.032 0.516 0.005 0.431 0.022 0.408 0.031\n4 0.672 \u003c 0.001 0.505 0.006 0.529 0.004 0.641 \u003c 0.001 0.498 0.007 0.470 0.012\n5 0.779  \u003c 0.001 0.606 0.001 0.624 \u003c 0.001 0.722  \u003c 0.001 0.562 0.002 0.553 0.002\n6 0.850  \u003c 0.001 0.712  \u003c 0.001 0.706  \u003c 0.001 0.808  \u003c 0.001 0.679 \u003c 0.001 0.668 \u003c 0.001\n7 0.902  \u003c 0.001 0.777  \u003c 0.001 0.750  \u003c 0.001 0.861  \u003c 0.001 0.751  \u003c 0.001 0.754  \u003c 0.001\n8 0.944  \u003c 0.001 0.835  \u003c 0.001 0.823  \u003c 0.001 0.902   \u003c 0.001 0.829  \u003c 0.001 0.817  \u003c 0.001\n9 0.958   \u003c 0.001 0.878  \u003c 0.001 0.887  \u003c 0.001 0.892  \u003c 0.001 0.876  \u003c 0.001 0.872  \u003c 0.001\n10 0.953  \u003c 0.001 0.893   \u003c 0.001 0.928  \u003c 0.001 0.873  \u003c 0.001 0.921  \u003c 0.001 0.899   \u003c 0.001\n11 0.924  \u003c 0.001 0.845  \u003c 0.001 0.925  \u003c 0.001 0.786  \u003c 0.001 0.917  \u003c 0.001 0.875  \u003c 0.001\n12 0.857  \u003c 0.001 0.818  \u003c 0.001 0.933   \u003c 0.001 0.715  \u003c 0.001 0.944   \u003c 0.001 0.875  \u003c 0.001\n13 0.815  \u003c 0.001 0.762  \u003c 0.001 0.908  \u003c 0.001 0.609 0.001 0.916  \u003c 0.001 0.812  \u003c 0.001\n14 0.783  \u003c 0.001 0.697 \u003c 0.001 0.858  \u003c 0.001 0.496 0.007 0.885  \u003c 0.001 0.733  \u003c 0.001\nNew suspected cases 0 −0.003 0.989 −0.372 0.073 −0.309 0.142 −0.091 0.671 −0.279 0.187 −0.309 0.142\n1 0.246 0.246 −0.116 0.590 −0.068 0.753 0.141 0.511 −0.078 0.716 −0.103 0.630\n2 0.413 0.045 0.104 0.630 0.125 0.560 0.346 0.098 0.089 0.680 0.050 0.818\n3 0.614 0.001 0.312 0.138 0.352 0.091 0.551 0.005 0.253 0.233 0.248 0.243\n4 0.768  \u003c 0.001 0.514 0.010 0.538 0.007 0.697 \u003c 0.001 0.431 0.035 0.383 0.065\n5 0.832  \u003c 0.001 0.687 \u003c 0.001 0.670 \u003c 0.001 0.816  \u003c 0.001 0.520 0.009 0.501 0.013\n6 0.912   \u003c 0.001 0.771  \u003c 0.001 0.725  \u003c 0.001 0.895  \u003c 0.001 0.672 \u003c 0.001 0.670 \u003c 0.001\n7 0.933  \u003c 0.001 0.850  \u003c 0.001 0.830  \u003c 0.001 0.914  \u003c 0.001 0.813  \u003c 0.001 0.872  \u003c 0.001\n8 0.875  \u003c 0.001 0.960   \u003c 0.001 0.906   \u003c 0.001 0.926   \u003c 0.001 0.924   \u003c 0.001 0.907   \u003c 0.001\n9 0.787  \u003c 0.001 0.865  \u003c 0.001 0.882  \u003c 0.001 0.850  \u003c 0.001 0.883  \u003c 0.001 0.899  \u003c 0.001\n10 0.744  \u003c 0.001 0.827  \u003c 0.001 0.841  \u003c 0.001 0.766  \u003c 0.001 0.818  \u003c 0.001 0.832  \u003c 0.001\n11 0.671 \u003c 0.001 0.770  \u003c 0.001 0.790  \u003c 0.001 0.698 \u003c 0.001 0.781  \u003c 0.001 0.802  \u003c 0.001\n12 0.544 0.006 0.693 \u003c 0.001 0.686 \u003c 0.001 0.559 0.005 0.697 \u003c 0.001 0.683 \u003c 0.001\n13 0.482 0.017 0.578 0.003 0.583 0.003 0.454 0.026 0.622 0.001 0.600 0.002\n14 0.497 0.013 0.448 0.028 0.547 0.006 0.288 0.173 0.609 0.002 0.550 0.005\nShaded text: high correlation with r \u003e 0.7. Text in italics: highest correlation."}