Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1038/s41598-021-83441-4 http://scihub22266oqcxt.onion/10.1038/s41598-021-83441-4 33602967!7892828!33602967     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sci+Rep 2021 ; 11 (1): 4150 Nephropedia Template TP {{tp|p=33602967|t=2021. Mining Google and Apple mobility data: temporal anatomy for COVID-19 social distancing |pdf=|usr=}}{{33602967}} gab.com Text Mining Google and Apple mobility data: temporal anatomy for COVID-19 social distancing JO: Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=33602967 #FOAvip We employ the Google and Apple mobility data to identify, quantify and classify different degrees of social distancing and characterise their imprint on the first wave of the COVID-19 pandemic in Europe and in the United States. We identify the period of enacted social distancing via Google and Apple data, independently from the political decisions. Our analysis allows us to classify different shades of social distancing measures for the first wave of the pandemic. We observe a strong decrease in the infection rate occurring two to five weeks after the onset of mobility reduction. A universal time scale emerges, after which social distancing shows its impact. We further provide an actual measure of the impact of social distancing for each region, showing that the effect amounts to a reduction by 20-40% in the infection rate in Europe and 30-70% in the US. Twit Text FOAVip Mining Google and Apple mobility data: temporal anatomy for COVID-19 social distancing ????Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=33602967 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33602967 #FOAvip English Wikipedia <ref>{{Cite pmid|33602967}}</ref> Mining Google and Apple mobility data: temporal anatomy for COVID-19 social distancing #MMPMID33602967 Cot C; Cacciapaglia G; Sannino F Sci Rep 2021[Feb]; 11 (1): 4150 PMID33602967show ga We employ the Google and Apple mobility data to identify, quantify and classify different degrees of social distancing and characterise their imprint on the first wave of the COVID-19 pandemic in Europe and in the United States. We identify the period of enacted social distancing via Google and Apple data, independently from the political decisions. Our analysis allows us to classify different shades of social distancing measures for the first wave of the pandemic. We observe a strong decrease in the infection rate occurring two to five weeks after the onset of mobility reduction. A universal time scale emerges, after which social distancing shows its impact. We further provide an actual measure of the impact of social distancing for each region, showing that the effect amounts to a reduction by 20-40% in the infection rate in Europe and 30-70% in the US. |COVID-19/*epidemiology/prevention & control/transmission[MESH] |Cell Phone Use/*statistics & numerical data/trends[MESH] |Cell Phone/statistics & numerical data/trends[MESH] |Data Mining/methods[MESH] |Europe/epidemiology[MESH] |Humans[MESH] |Mobile Applications/statistics & numerical data/trends[MESH] |Pandemics[MESH] |Physical Distancing[MESH] |Quarantine/*statistics & numerical data/trends[MESH] |SARS-CoV-2/isolation & purification[MESH]Mining Google and Apple mobility data: temporal anatomy for COVID-19 s(epmc).pdf DeepDyve Pubget Overpricing