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10.1186/s40537-021-00474-2 http://scihub22266oqcxt.onion/10.1186/s40537-021-00474-2 34094812!8170440!34094812     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       J+Big+Data 2021 ; 8 (1): 78 Nephropedia Template TP {{tp|p=34094812|t=2021. Big data insight on global mobility during the Covid-19 pandemic lockdown |pdf=|usr=}}{{34094812}} gab.com Text Big data insight on global mobility during the Covid-19 pandemic lockdown JO: J Big Data http://www.kidney.de/pget.php?&tw=1&pmid=34094812 #FOAvip The Covid-19 pandemic that began in the city of Wuhan in China has caused a huge number of deaths worldwide. Countries have introduced spatial restrictions on movement and social distancing in response to the rapid rate of SARS-Cov-2 transmission among its populations. Research originality lies in the taken global perspective revealing indication of significant relationships between changes in mobility and the number of Covid-19 cases. The study uncovers a time offset between the two applied databases, Google Mobility and John Hopkins University, influencing correlations between mobility and pandemic development. Analyses reveals a link between the introduction of lockdown and the number of new Covid-19 cases. Types of mobility with the most significant impact on the development of the pandemic are "retail and recreation areas", "transit stations", "workplaces" "groceries and pharmacies". The difference in the correlation between the lockdown introduced and the number of SARS-COV-2 cases is 81%, when using a 14-day weighted average compared to the 7-day average. Moreover, the study reveals a strong geographical diversity in human mobility and its impact on the number of new Covid-19 cases. Twit Text FOAVip Big data insight on global mobility during the Covid-19 pandemic lockdown ????J Big Data http://www.kidney.de/pget.php?&tw=1&pmid=34094812 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34094812 #FOAvip English Wikipedia <ref>{{Cite pmid|34094812}}</ref> Big data insight on global mobility during the Covid-19 pandemic lockdown #MMPMID34094812 Sadowski A; Galar Z; Walasek R; Zimon G; Engelseth P J Big Data 2021[]; 8 (1): 78 PMID34094812show ga The Covid-19 pandemic that began in the city of Wuhan in China has caused a huge number of deaths worldwide. Countries have introduced spatial restrictions on movement and social distancing in response to the rapid rate of SARS-Cov-2 transmission among its populations. Research originality lies in the taken global perspective revealing indication of significant relationships between changes in mobility and the number of Covid-19 cases. The study uncovers a time offset between the two applied databases, Google Mobility and John Hopkins University, influencing correlations between mobility and pandemic development. Analyses reveals a link between the introduction of lockdown and the number of new Covid-19 cases. Types of mobility with the most significant impact on the development of the pandemic are "retail and recreation areas", "transit stations", "workplaces" "groceries and pharmacies". The difference in the correlation between the lockdown introduced and the number of SARS-COV-2 cases is 81%, when using a 14-day weighted average compared to the 7-day average. Moreover, the study reveals a strong geographical diversity in human mobility and its impact on the number of new Covid-19 cases. äBig data insight on global mobility during the Covid-19 pandemic lockd(epmc).pdf DeepDyve Pubget Overpricing