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10.1038/s41597-020-00575-2 http://scihub22266oqcxt.onion/10.1038/s41597-020-00575-2 32641758!7343837!32641758     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sci+Data 2020 ; 7 (1): 230 Nephropedia Template TP {{tp|p=32641758|t=2020. COVID-19 outbreak response, a dataset to assess mobility changes in Italy following national lockdown |pdf=|usr=}}{{32641758}} gab.com Text COVID-19 outbreak response, a dataset to assess mobility changes in Italy following national lockdown JO: Sci Data http://www.kidney.de/pget.php?&tw=1&pmid=32641758 #FOAvip Italy has been severely affected by the COVID-19 pandemic, reporting the highest death toll in Europe as of April 2020. Following the identification of the first infections, on February 21, 2020, national authorities have put in place an increasing number of restrictions aimed at containing the outbreak and delaying the epidemic peak. On March 12, the government imposed a national lockdown. To aid the evaluation of the impact of interventions, we present daily time-series of three different aggregated mobility metrics: the origin-destination movements between Italian provinces, the radius of gyration, and the average degree of a spatial proximity network. All metrics were computed by processing a large-scale dataset of anonymously shared positions of about 170,000 de-identified smartphone users before and during the outbreak, at the sub-national scale. This dataset can help to monitor the impact of the lockdown on the epidemic trajectory and inform future public health decision making. Twit Text FOAVip COVID-19 outbreak response, a dataset to assess mobility changes in Italy following national lockdown ????Sci Data http://www.kidney.de/pget.php?&tw=1&pmid=32641758 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32641758 #FOAvip English Wikipedia <ref>{{Cite pmid|32641758}}</ref> COVID-19 outbreak response, a dataset to assess mobility changes in Italy following national lockdown #MMPMID32641758 Pepe E; Bajardi P; Gauvin L; Privitera F; Lake B; Cattuto C; Tizzoni M Sci Data 2020[Jul]; 7 (1): 230 PMID32641758show ga Italy has been severely affected by the COVID-19 pandemic, reporting the highest death toll in Europe as of April 2020. Following the identification of the first infections, on February 21, 2020, national authorities have put in place an increasing number of restrictions aimed at containing the outbreak and delaying the epidemic peak. On March 12, the government imposed a national lockdown. To aid the evaluation of the impact of interventions, we present daily time-series of three different aggregated mobility metrics: the origin-destination movements between Italian provinces, the radius of gyration, and the average degree of a spatial proximity network. All metrics were computed by processing a large-scale dataset of anonymously shared positions of about 170,000 de-identified smartphone users before and during the outbreak, at the sub-national scale. This dataset can help to monitor the impact of the lockdown on the epidemic trajectory and inform future public health decision making. |Betacoronavirus[MESH] |COVID-19[MESH] |Communicable Disease Control/*methods[MESH] |Coronavirus Infections/*epidemiology[MESH] |Geographic Information Systems[MESH] |Humans[MESH] |Italy/epidemiology[MESH] |Pandemics[MESH] |Pneumonia, Viral/*epidemiology[MESH] |SARS-CoV-2[MESH] |Smartphone[MESH] |Social Isolation[MESH]COVID-19 outbreak response, a dataset to assess mobility changes in It(epmc).pdf DeepDyve Pubget Overpricing