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10.3390/s21103424 http://scihub22266oqcxt.onion/10.3390/s21103424 34069091!8155839!34069091     free     free     free Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sensors+(Basel) 2021 ; 21 (10): ä Nephropedia Template TP {{tp|p=34069091|t=2021. Mass Tracking in Cellular Networks for the COVID-19 Pandemic Monitoring |pdf=|usr=}}{{34069091}} gab.com Text Mass Tracking in Cellular Networks for the COVID-19 Pandemic Monitoring JO: Sensors (Basel) http://www.kidney.de/pget.php?&tw=1&pmid=34069091 #FOAvip The year 2020 was marked by the emergence of the COVID-19 pandemic. After months of uncontrolled spread worldwide, a clear conclusion is that controlling the mobility of the general population can slow down the propagation of the pandemic. Tracking the location of the population enables better use of mobility limitation policies and the prediction of potential hotspots, as well as improved alert services to individuals that may have been exposed to the virus. With mobility in their core functionality and a high degree of penetration of mobile devices within the general population, cellular networks are an invaluable asset for this purpose. This paper shows an overview of the possibilities offered by cellular networks for the massive tacking of the population at different levels. The major privacy concerns are also reviewed and a specific use case is shown, correlating mobility and number of cases in the province of Malaga (Spain). Twit Text FOAVip Mass Tracking in Cellular Networks for the COVID-19 Pandemic Monitoring ????Sensors (Basel) http://www.kidney.de/pget.php?&tw=1&pmid=34069091 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34069091 #FOAvip English Wikipedia <ref>{{Cite pmid|34069091}}</ref> Mass Tracking in Cellular Networks for the COVID-19 Pandemic Monitoring #MMPMID34069091 Khatib EJ; Perles Rosello MJ; Miranda-Paez J; Giralt V; Barco R Sensors (Basel) 2021[May]; 21 (10): ä PMID34069091show ga The year 2020 was marked by the emergence of the COVID-19 pandemic. After months of uncontrolled spread worldwide, a clear conclusion is that controlling the mobility of the general population can slow down the propagation of the pandemic. Tracking the location of the population enables better use of mobility limitation policies and the prediction of potential hotspots, as well as improved alert services to individuals that may have been exposed to the virus. With mobility in their core functionality and a high degree of penetration of mobile devices within the general population, cellular networks are an invaluable asset for this purpose. This paper shows an overview of the possibilities offered by cellular networks for the massive tacking of the population at different levels. The major privacy concerns are also reviewed and a specific use case is shown, correlating mobility and number of cases in the province of Malaga (Spain). |*COVID-19[MESH] |*Pandemics[MESH] |Humans[MESH] |Privacy[MESH] |SARS-CoV-2[MESH]Mass Tracking in Cellular Networks for the COVID-19 Pandemic Monitorin(epmc).pdf DeepDyve Pubget Overpricing