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10.1016/S2589-7500(20)30193-X http://scihub22266oqcxt.onion/10.1016/S2589-7500(20)30193-X 32905027!7462565!32905027     free     free     free Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 261.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 261.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 261.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 261.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Lancet+Digit+Health 2020 ; 2 (11): e622-e628 Nephropedia Template TP {{tp|p=32905027|t=2020. Measuring mobility to monitor travel and physical distancing interventions: a common framework for mobile phone data analysis |pdf=|usr=}}{{32905027}} gab.com Text Measuring mobility to monitor travel and physical distancing interventions: a common framework for mobile phone data analysis JO: Lancet Digit Health http://www.kidney.de/pget.php?&tw=1&pmid=32905027 #FOAvip A surge of interest has been noted in the use of mobility data from mobile phones to monitor physical distancing and model the spread of severe acute respiratory syndrome coronavirus 2, the virus that causes COVID-19. Despite several years of research in this area, standard frameworks for aggregating and making use of different data streams from mobile phones are scarce and difficult to generalise across data providers. Here, we examine aggregation principles and procedures for different mobile phone data streams and describe a common syntax for how aggregated data are used in research and policy. We argue that the principles of privacy and data protection are vital in assessing more technical aspects of aggregation and should be an important central feature to guide partnerships with governments who make use of research products. Twit Text FOAVip Measuring mobility to monitor travel and physical distancing interventions: a common framework for mobile phone data analysis ????Lancet Digit Health http://www.kidney.de/pget.php?&tw=1&pmid=32905027 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32905027 #FOAvip English Wikipedia <ref>{{Cite pmid|32905027}}</ref> Measuring mobility to monitor travel and physical distancing interventions: a common framework for mobile phone data analysis #MMPMID32905027 Kishore N; Kiang MV; Engo-Monsen K; Vembar N; Schroeder A; Balsari S; Buckee CO Lancet Digit Health 2020[Nov]; 2 (11): e622-e628 PMID32905027show ga A surge of interest has been noted in the use of mobility data from mobile phones to monitor physical distancing and model the spread of severe acute respiratory syndrome coronavirus 2, the virus that causes COVID-19. Despite several years of research in this area, standard frameworks for aggregating and making use of different data streams from mobile phones are scarce and difficult to generalise across data providers. Here, we examine aggregation principles and procedures for different mobile phone data streams and describe a common syntax for how aggregated data are used in research and policy. We argue that the principles of privacy and data protection are vital in assessing more technical aspects of aggregation and should be an important central feature to guide partnerships with governments who make use of research products. |*Epidemiological Monitoring[MESH] |*Physical Distancing[MESH] |COVID-19/epidemiology/*prevention & control[MESH] |Cell Phone/*statistics & numerical data[MESH] |Geographic Information Systems[MESH] |Humans[MESH] |Information Dissemination[MESH] |Models, Statistical[MESH] |Spatio-Temporal Analysis[MESH]Measuring mobility to monitor travel and physical distancing intervent(epmc).pdf DeepDyve Pubget Overpricing