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10.1038/s41467-020-20817-6 http://scihub22266oqcxt.onion/10.1038/s41467-020-20817-6 33500407!7838392!33500407     free     free     free Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Nat+Commun 2021 ; 12 (1): 587 Nephropedia Template TP {{tp|p=33500407|t=2021. A population-based controlled experiment assessing the epidemiological impact of digital contact tracing |pdf=|usr=}}{{33500407}} gab.com Text A population-based controlled experiment assessing the epidemiological impact of digital contact tracing JO: Nat Commun http://www.kidney.de/pget.php?&tw=1&pmid=33500407 #FOAvip While Digital contact tracing (DCT) has been argued to be a valuable complement to manual tracing in the containment of COVID-19, no empirical evidence of its effectiveness is available to date. Here, we report the results of a 4-week population-based controlled experiment that took place in La Gomera (Canary Islands, Spain) between June and July 2020, where we assessed the epidemiological impact of the Spanish DCT app Radar Covid. After a substantial communication campaign, we estimate that at least 33% of the population adopted the technology and further showed relatively high adherence and compliance as well as a quick turnaround time. The app detects about 6.3 close-contacts per primary simulated infection, a significant percentage being contacts with strangers, although the spontaneous follow-up rate of these notified cases is low. Overall, these results provide experimental evidence of the potential usefulness of DCT during an epidemic outbreak in a real population. Twit Text FOAVip A population-based controlled experiment assessing the epidemiological impact of digital contact tracing ????Nat Commun http://www.kidney.de/pget.php?&tw=1&pmid=33500407 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33500407 #FOAvip English Wikipedia <ref>{{Cite pmid|33500407}}</ref> A population-based controlled experiment assessing the epidemiological impact of digital contact tracing #MMPMID33500407 Rodriguez P; Grana S; Alvarez-Leon EE; Battaglini M; Darias FJ; Hernan MA; Lopez R; Llaneza P; Martin MC; Ramirez-Rubio O; Romani A; Suarez-Rodriguez B; Sanchez-Monedero J; Arenas A; Lacasa L Nat Commun 2021[Jan]; 12 (1): 587 PMID33500407show ga While Digital contact tracing (DCT) has been argued to be a valuable complement to manual tracing in the containment of COVID-19, no empirical evidence of its effectiveness is available to date. Here, we report the results of a 4-week population-based controlled experiment that took place in La Gomera (Canary Islands, Spain) between June and July 2020, where we assessed the epidemiological impact of the Spanish DCT app Radar Covid. After a substantial communication campaign, we estimate that at least 33% of the population adopted the technology and further showed relatively high adherence and compliance as well as a quick turnaround time. The app detects about 6.3 close-contacts per primary simulated infection, a significant percentage being contacts with strangers, although the spontaneous follow-up rate of these notified cases is low. Overall, these results provide experimental evidence of the potential usefulness of DCT during an epidemic outbreak in a real population. |Adolescent[MESH] |Adult[MESH] |Age Distribution[MESH] |COVID-19/*epidemiology/prevention & control/transmission/virology[MESH] |Contact Tracing/*methods/statistics & numerical data[MESH] |Female[MESH] |Humans[MESH] |Longitudinal Studies[MESH] |Male[MESH] |Middle Aged[MESH] |Mobile Applications/*statistics & numerical data[MESH] |Pandemics/*prevention & control[MESH] |Patient Compliance/*statistics & numerical data[MESH] |Privacy[MESH] |SARS-CoV-2/pathogenicity[MESH] |Smartphone[MESH] |Spain/epidemiology[MESH] |Surveys and Questionnaires/statistics & numerical data[MESH]A population-based controlled experiment assessing the epidemiological(epmc).pdf DeepDyve Pubget Overpricing