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10.1038/s41467-021-21385-z http://scihub22266oqcxt.onion/10.1038/s41467-021-21385-z 33608519!7895830!33608519     free     free     free Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 269.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 269.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 269.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 269.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Nat+Commun 2021 ; 12 (1): 1147 Nephropedia Template TP {{tp|p=33608519|t=2021. Harnessing peak transmission around symptom onset for non-pharmaceutical intervention and containment of the COVID-19 pandemic |pdf=|usr=}}{{33608519}} gab.com Text Harnessing peak transmission around symptom onset for non-pharmaceutical intervention and containment of the COVID-19 pandemic JO: Nat Commun http://www.kidney.de/pget.php?&tw=1&pmid=33608519 #FOAvip Within a short period of time, COVID-19 grew into a world-wide pandemic. Transmission by pre-symptomatic and asymptomatic viral carriers rendered intervention and containment of the disease extremely challenging. Based on reported infection case studies, we construct an epidemiological model that focuses on transmission around the symptom onset. The model is calibrated against incubation period and pairwise transmission statistics during the initial outbreaks of the pandemic outside Wuhan with minimal non-pharmaceutical interventions. Mathematical treatment of the model yields explicit expressions for the size of latent and pre-symptomatic subpopulations during the exponential growth phase, with the local epidemic growth rate as input. We then explore reduction of the basic reproduction number R(0) through specific transmission control measures such as contact tracing, testing, social distancing, wearing masks and sheltering in place. When these measures are implemented in combination, their effects on R(0) multiply. We also compare our model behaviour to the first wave of the COVID-19 spreading in various affected regions and highlight generic and less generic features of the pandemic development. Twit Text FOAVip Harnessing peak transmission around symptom onset for non-pharmaceutical intervention and containment of the COVID-19 pandemic ????Nat Commun http://www.kidney.de/pget.php?&tw=1&pmid=33608519 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33608519 #FOAvip English Wikipedia <ref>{{Cite pmid|33608519}}</ref> Harnessing peak transmission around symptom onset for non-pharmaceutical intervention and containment of the COVID-19 pandemic #MMPMID33608519 Tian L; Li X; Qi F; Tang QY; Tang V; Liu J; Li Z; Cheng X; Li X; Shi Y; Liu H; Tang LH Nat Commun 2021[Feb]; 12 (1): 1147 PMID33608519show ga Within a short period of time, COVID-19 grew into a world-wide pandemic. Transmission by pre-symptomatic and asymptomatic viral carriers rendered intervention and containment of the disease extremely challenging. Based on reported infection case studies, we construct an epidemiological model that focuses on transmission around the symptom onset. The model is calibrated against incubation period and pairwise transmission statistics during the initial outbreaks of the pandemic outside Wuhan with minimal non-pharmaceutical interventions. Mathematical treatment of the model yields explicit expressions for the size of latent and pre-symptomatic subpopulations during the exponential growth phase, with the local epidemic growth rate as input. We then explore reduction of the basic reproduction number R(0) through specific transmission control measures such as contact tracing, testing, social distancing, wearing masks and sheltering in place. When these measures are implemented in combination, their effects on R(0) multiply. We also compare our model behaviour to the first wave of the COVID-19 spreading in various affected regions and highlight generic and less generic features of the pandemic development. |*Models, Theoretical[MESH] |Basic Reproduction Number[MESH] |COVID-19/*prevention & control/*transmission[MESH] |Communicable Disease Control/*methods[MESH] |Contact Tracing[MESH] |Humans[MESH] |Likelihood Functions[MESH] |Masks[MESH] |Pandemics/*prevention & control[MESH] |Physical Distancing[MESH]Harnessing peak transmission around symptom onset for non-pharmaceutic(epmc).pdf DeepDyve Pubget Overpricing