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10.1038/s41467-021-21776-2 http://scihub22266oqcxt.onion/10.1038/s41467-021-21776-2 33686075!7940469!33686075     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 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 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Nat+Commun 2021 ; 12 (1): 1501 Nephropedia Template TP {{tp|p=33686075|t=2021. Real-time tracking and prediction of COVID-19 infection using digital proxies of population mobility and mixing |pdf=|usr=}}{{33686075}} gab.com Text Real-time tracking and prediction of COVID-19 infection using digital proxies of population mobility and mixing JO: Nat Commun http://www.kidney.de/pget.php?&tw=1&pmid=33686075 #FOAvip Digital proxies of human mobility and physical mixing have been used to monitor viral transmissibility and effectiveness of social distancing interventions in the ongoing COVID-19 pandemic. We develop a new framework that parameterizes disease transmission models with age-specific digital mobility data. By fitting the model to case data in Hong Kong, we are able to accurately track the local effective reproduction number of COVID-19 in near real time (i.e., no longer constrained by the delay of around 9 days between infection and reporting of cases) which is essential for quick assessment of the effectiveness of interventions on reducing transmissibility. Our findings show that accurate nowcast and forecast of COVID-19 epidemics can be obtained by integrating valid digital proxies of physical mixing into conventional epidemic models. Twit Text FOAVip Real-time tracking and prediction of COVID-19 infection using digital proxies of population mobility and mixing ????Nat Commun http://www.kidney.de/pget.php?&tw=1&pmid=33686075 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33686075 #FOAvip English Wikipedia <ref>{{Cite pmid|33686075}}</ref> Real-time tracking and prediction of COVID-19 infection using digital proxies of population mobility and mixing #MMPMID33686075 Leung K; Wu JT; Leung GM Nat Commun 2021[Mar]; 12 (1): 1501 PMID33686075show ga Digital proxies of human mobility and physical mixing have been used to monitor viral transmissibility and effectiveness of social distancing interventions in the ongoing COVID-19 pandemic. We develop a new framework that parameterizes disease transmission models with age-specific digital mobility data. By fitting the model to case data in Hong Kong, we are able to accurately track the local effective reproduction number of COVID-19 in near real time (i.e., no longer constrained by the delay of around 9 days between infection and reporting of cases) which is essential for quick assessment of the effectiveness of interventions on reducing transmissibility. Our findings show that accurate nowcast and forecast of COVID-19 epidemics can be obtained by integrating valid digital proxies of physical mixing into conventional epidemic models. |*Basic Reproduction Number[MESH] |*Epidemiological Monitoring[MESH] |*Models, Theoretical[MESH] |COVID-19/*epidemiology/transmission[MESH] |Forecasting[MESH] |Hong Kong/epidemiology[MESH] |Humans[MESH] |Pandemics[MESH]Real-time tracking and prediction of COVID-19 infection using digital (epmc).pdf DeepDyve Pubget Overpricing