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10.1038/s41598-021-81333-1 http://scihub22266oqcxt.onion/10.1038/s41598-021-81333-1 33495534!7835375!33495534     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sci+Rep 2021 ; 11 (1): 2147 Nephropedia Template TP {{tp|p=33495534|t=2021. Early warnings of COVID-19 outbreaks across Europe from social media |pdf=|usr=}}{{33495534}} gab.com Text Early warnings of COVID-19 outbreaks across Europe from social media JO: Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=33495534 #FOAvip We analyze data from Twitter to uncover early-warning signals of COVID-19 outbreaks in Europe in the winter season 2019-2020, before the first public announcements of local sources of infection were made. We show evidence that unexpected levels of concerns about cases of pneumonia were raised across a number of European countries. Whistleblowing came primarily from the geographical regions that eventually turned out to be the key breeding grounds for infections. These findings point to the urgency of setting up an integrated digital surveillance system in which social media can help geo-localize chains of contagion that would otherwise proliferate almost completely undetected. Twit Text FOAVip Early warnings of COVID-19 outbreaks across Europe from social media ????Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=33495534 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33495534 #FOAvip English Wikipedia <ref>{{Cite pmid|33495534}}</ref> Early warnings of COVID-19 outbreaks across Europe from social media #MMPMID33495534 Lopreite M; Panzarasa P; Puliga M; Riccaboni M Sci Rep 2021[Jan]; 11 (1): 2147 PMID33495534show ga We analyze data from Twitter to uncover early-warning signals of COVID-19 outbreaks in Europe in the winter season 2019-2020, before the first public announcements of local sources of infection were made. We show evidence that unexpected levels of concerns about cases of pneumonia were raised across a number of European countries. Whistleblowing came primarily from the geographical regions that eventually turned out to be the key breeding grounds for infections. These findings point to the urgency of setting up an integrated digital surveillance system in which social media can help geo-localize chains of contagion that would otherwise proliferate almost completely undetected. |*Epidemiological Monitoring[MESH] |COVID-19/*epidemiology/prevention & control[MESH] |Data Interpretation, Statistical[MESH] |Europe/epidemiology[MESH] |Forecasting/methods[MESH] |Humans[MESH] |Pandemics/*prevention & control/statistics & numerical data[MESH] |SARS-CoV-2[MESH] |Social Media/*statistics & numerical data[MESH]Early warnings of COVID-19 outbreaks across Europe from social media (epmc).pdf DeepDyve Pubget Overpricing