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10.1038/s41598-021-81873-6 http://scihub22266oqcxt.onion/10.1038/s41598-021-81873-6 33723282!7961025!33723282     free     free     free Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sci+Rep 2021 ; 11 (1): 5943 Nephropedia Template TP {{tp|p=33723282|t=2021. Countrywide population movement monitoring using mobile devices generated (big) data during the COVID-19 crisis |pdf=|usr=}}{{33723282}} gab.com Text Countrywide population movement monitoring using mobile devices generated (big) data during the COVID-19 crisis JO: Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=33723282 #FOAvip Mobile phones have been used to monitor mobility changes during the COVID-19 pandemic but surprisingly few studies addressed in detail the implementation of practical applications involving whole populations. We report a method of generating a "mobility-index" and a "stay-at-home/resting-index" based on aggregated anonymous Call Detail Records of almost all subscribers in Hungary, which tracks all phones, examining their strengths and weaknesses, comparing it with Community Mobility Reports from Google, limited to smartphone data. The impact of policy changes, such as school closures, could be identified with sufficient granularity to capture a rush to shops prior to imposition of restrictions. Anecdotal reports of large scale movement of Hungarians to holiday homes were confirmed. At the national level, our results correlated well with Google mobility data, but there were some differences at weekends and national holidays, which can be explained by methodological differences. Mobile phones offer a means to analyse population movement but there are several technical and privacy issues. Overcoming these, our method is a practical and inexpensive way forward, achieving high levels of accuracy and resolution, especially where uptake of smartphones is modest, although it is not an alternative to smartphone-based solutions used for contact tracing and quarantine monitoring. Twit Text FOAVip Countrywide population movement monitoring using mobile devices generated (big) data during the COVID-19 crisis ????Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=33723282 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33723282 #FOAvip English Wikipedia <ref>{{Cite pmid|33723282}}</ref> Countrywide population movement monitoring using mobile devices generated (big) data during the COVID-19 crisis #MMPMID33723282 Szocska M; Pollner P; Schiszler I; Joo T; Palicz T; McKee M; Asztalos A; Bencze L; Kapronczay M; Petrecz P; Toth B; Szabo A; Weninger A; Ader K; Bacskai P; Karaszi P; Terplan G; Tuboly G; Sohonyai A; Szoke J; Toth A; Gaal P Sci Rep 2021[Mar]; 11 (1): 5943 PMID33723282show ga Mobile phones have been used to monitor mobility changes during the COVID-19 pandemic but surprisingly few studies addressed in detail the implementation of practical applications involving whole populations. We report a method of generating a "mobility-index" and a "stay-at-home/resting-index" based on aggregated anonymous Call Detail Records of almost all subscribers in Hungary, which tracks all phones, examining their strengths and weaknesses, comparing it with Community Mobility Reports from Google, limited to smartphone data. The impact of policy changes, such as school closures, could be identified with sufficient granularity to capture a rush to shops prior to imposition of restrictions. Anecdotal reports of large scale movement of Hungarians to holiday homes were confirmed. At the national level, our results correlated well with Google mobility data, but there were some differences at weekends and national holidays, which can be explained by methodological differences. Mobile phones offer a means to analyse population movement but there are several technical and privacy issues. Overcoming these, our method is a practical and inexpensive way forward, achieving high levels of accuracy and resolution, especially where uptake of smartphones is modest, although it is not an alternative to smartphone-based solutions used for contact tracing and quarantine monitoring. |*Big Data[MESH] |*Computers, Handheld[MESH] |*SARS-CoV-2[MESH] |COVID-19/*epidemiology/prevention & control/virology[MESH] |Contact Tracing[MESH] |Geography, Medical[MESH] |Humans[MESH] |Hungary/epidemiology[MESH] |Public Health Surveillance[MESH]Countrywide population movement monitoring using mobile devices genera(epmc).pdf DeepDyve Pubget Overpricing