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10.1126/sciadv.abd8750 http://scihub22266oqcxt.onion/10.1126/sciadv.abd8750 33712416!8034853!33712416     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       Sci+Adv 2021 ; 7 (15): ä Nephropedia Template TP {{tp|p=33712416|t=2021. Anatomy of digital contact tracing: Role of age, transmission setting, adoption, and case detection |pdf=|usr=}}{{33712416}} gab.com Text Anatomy of digital contact tracing: Role of age, transmission setting, adoption, and case detection JO: Sci Adv http://www.kidney.de/pget.php?&tw=1&pmid=33712416 #FOAvip The efficacy of digital contact tracing against coronavirus disease 2019 (COVID-19) epidemic is debated: Smartphone penetration is limited in many countries, with low coverage among the elderly, the most vulnerable to COVID-19. We developed an agent-based model to precise the impact of digital contact tracing and household isolation on COVID-19 transmission. The model, calibrated on French population, integrates demographic, contact and epidemiological information to describe exposure and transmission of COVID-19. We explored realistic levels of case detection, app adoption, population immunity, and transmissibility. Assuming a reproductive ratio R = 2.6 and 50% detection of clinical cases, a ~20% app adoption reduces peak incidence by ~35%. With R = 1.7, >30% app adoption lowers the epidemic to manageable levels. Higher coverage among adults, playing a central role in COVID-19 transmission, yields an indirect benefit for the elderly. These results may inform the inclusion of digital contact tracing within a COVID-19 response plan. Twit Text FOAVip Anatomy of digital contact tracing: Role of age, transmission setting, adoption, and case detection ????Sci Adv http://www.kidney.de/pget.php?&tw=1&pmid=33712416 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33712416 #FOAvip English Wikipedia <ref>{{Cite pmid|33712416}}</ref> Anatomy of digital contact tracing: Role of age, transmission setting, adoption, and case detection #MMPMID33712416 Moreno Lopez JA; Arregui Garcia B; Bentkowski P; Bioglio L; Pinotti F; Boelle PY; Barrat A; Colizza V; Poletto C Sci Adv 2021[Apr]; 7 (15): ä PMID33712416show ga The efficacy of digital contact tracing against coronavirus disease 2019 (COVID-19) epidemic is debated: Smartphone penetration is limited in many countries, with low coverage among the elderly, the most vulnerable to COVID-19. We developed an agent-based model to precise the impact of digital contact tracing and household isolation on COVID-19 transmission. The model, calibrated on French population, integrates demographic, contact and epidemiological information to describe exposure and transmission of COVID-19. We explored realistic levels of case detection, app adoption, population immunity, and transmissibility. Assuming a reproductive ratio R = 2.6 and 50% detection of clinical cases, a ~20% app adoption reduces peak incidence by ~35%. With R = 1.7, >30% app adoption lowers the epidemic to manageable levels. Higher coverage among adults, playing a central role in COVID-19 transmission, yields an indirect benefit for the elderly. These results may inform the inclusion of digital contact tracing within a COVID-19 response plan. |*Contact Tracing[MESH] |*Privacy[MESH] |*SARS-CoV-2[MESH] |*Smartphone[MESH] |Adult[MESH] |Aged[MESH] |COVID-19/*epidemiology/transmission[MESH]Anatomy of digital contact tracing: Role of age, transmission setting,(epmc).pdf DeepDyve Pubget Overpricing