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10.2807/1560-7917.ES.2020.25.10.2000199 http://scihub22266oqcxt.onion/10.2807/1560-7917.ES.2020.25.10.2000199 32183935!7078825!32183935     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=32183935&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215       Euro+Surveill 2020 ; 25 (10): ? Nephropedia Template TP {{tp|p=32183935|t=2020. Retrospective analysis of the possibility of predicting the COVID-19 outbreak from Internet searches and social media data, China, 2020 |pdf=|usr=}}{{32183935}} gab.com Text Retrospective analysis of the possibility of predicting the COVID-19 outbreak from Internet searches and social media data, China, 2020 JO: Euro Surveill http://www.kidney.de/pget.php?&tw=1&pmid=32183935 #FOAvip The peak of Internet searches and social media data about the coronavirus disease 2019 (COVID-19) outbreak occurred 10-14 days earlier than the peak of daily incidences in China. Internet searches and social media data had high correlation with daily incidences, with the maximum r > 0.89 in all correlations. The lag correlations also showed a maximum correlation at 8-12 days for laboratory-confirmed cases and 6-8 days for suspected cases. Twit Text FOAVip Retrospective analysis of the possibility of predicting the COVID-19 outbreak from Internet searches and social media data, China, 2020 ????Euro Surveill http://www.kidney.de/pget.php?&tw=1&pmid=32183935 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32183935 #FOAvip English Wikipedia <ref>{{Cite pmid|32183935}}</ref> Retrospective analysis of the possibility of predicting the COVID-19 outbreak from Internet searches and social media data, China, 2020 #MMPMID32183935 Li C; Chen LJ; Chen X; Zhang M; Pang CP; Chen H Euro Surveill 2020[Mar]; 25 (10): ? PMID32183935show ga The peak of Internet searches and social media data about the coronavirus disease 2019 (COVID-19) outbreak occurred 10-14 days earlier than the peak of daily incidences in China. Internet searches and social media data had high correlation with daily incidences, with the maximum r > 0.89 in all correlations. The lag correlations also showed a maximum correlation at 8-12 days for laboratory-confirmed cases and 6-8 days for suspected cases. |*Internet[MESH] |COVID-19[MESH] |China/epidemiology[MESH] |Coronavirus Infections/*diagnosis/*epidemiology/transmission[MESH] |Disease Outbreaks/*statistics & numerical data[MESH] |Humans[MESH] |Incidence[MESH] |Laboratories/*statistics & numerical data[MESH] |Pneumonia, Viral/diagnosis/*epidemiology/transmission[MESH] |Population Surveillance/*methods[MESH] |Public Health Practice[MESH] |Search Engine/*statistics & numerical data[MESH] |Social Media/*statistics & numerical data/trends[MESH]Retrospective analysis of the possibility of predicting the COVID-19 o(epmc).pdf DeepDyve Pubget Overpricing