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10.1016/j.jtbi.2020.110568 http://scihub22266oqcxt.onion/10.1016/j.jtbi.2020.110568 33385403!7772089!33385403     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Theor+Biol 2021 ; 512 (ä): 110568 Nephropedia Template TP {{tp|p=33385403|t=2021. Optimal strategies for social distancing and testing to control COVID-19 |pdf=|usr=}}{{33385403}} gab.com Text Optimal strategies for social distancing and testing to control COVID-19 JO: J Theor Biol http://www.kidney.de/pget.php?&tw=1&pmid=33385403 #FOAvip The coronavirus disease (COVID-19) has infected more than 79 million individuals, with 1.7 million deaths worldwide. Several countries have implemented social distancing and testing policies with contact tracing as a measure to flatten the curve of the ongoing pandemic. Optimizing these control measures is urgent given the substantial societal and economic impacts associated with infection and interventions. To determine the optimal social distancing and testing strategies, we developed a mathematical model of COVID-19 transmission and applied optimal control theory, identifying the best approach to reduce the epidemiological burden of COVID-19 at a minimal cost. The results demonstrate that testing as a standalone optimal strategy does not have a significant effect on the final size of an epidemic, but it would delay the peak of the pandemic. If social distancing is the sole control strategy, it would be optimal to gradually increase the level of social distancing as the incidence curve of COVID-19 grows, and relax the measures after the curve has reached its peak. Compared with a single strategy, combined social distancing and testing strategies are demonstrated to be more efficient at reducing the disease burden, and they can delay the peak of the disease. To optimize these strategies, testing should be maintained at a maximum level in the early phases and after the peak of the epidemic, whereas social distancing should be intensified when the prevalence of the disease is greater than 15%. Accordingly, public health agencies should implement early testing and switch to social distancing when the incidence level begins to increase. After the peak of the pandemic, it would be optimal to gradually relax social distancing and switch back to testing. Twit Text FOAVip Optimal strategies for social distancing and testing to control COVID-19 ????J Theor Biol http://www.kidney.de/pget.php?&tw=1&pmid=33385403 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33385403 #FOAvip English Wikipedia <ref>{{Cite pmid|33385403}}</ref> Optimal strategies for social distancing and testing to control COVID-19 #MMPMID33385403 Choi W; Shim E J Theor Biol 2021[Mar]; 512 (ä): 110568 PMID33385403show ga The coronavirus disease (COVID-19) has infected more than 79 million individuals, with 1.7 million deaths worldwide. Several countries have implemented social distancing and testing policies with contact tracing as a measure to flatten the curve of the ongoing pandemic. Optimizing these control measures is urgent given the substantial societal and economic impacts associated with infection and interventions. To determine the optimal social distancing and testing strategies, we developed a mathematical model of COVID-19 transmission and applied optimal control theory, identifying the best approach to reduce the epidemiological burden of COVID-19 at a minimal cost. The results demonstrate that testing as a standalone optimal strategy does not have a significant effect on the final size of an epidemic, but it would delay the peak of the pandemic. If social distancing is the sole control strategy, it would be optimal to gradually increase the level of social distancing as the incidence curve of COVID-19 grows, and relax the measures after the curve has reached its peak. Compared with a single strategy, combined social distancing and testing strategies are demonstrated to be more efficient at reducing the disease burden, and they can delay the peak of the disease. To optimize these strategies, testing should be maintained at a maximum level in the early phases and after the peak of the epidemic, whereas social distancing should be intensified when the prevalence of the disease is greater than 15%. Accordingly, public health agencies should implement early testing and switch to social distancing when the incidence level begins to increase. After the peak of the pandemic, it would be optimal to gradually relax social distancing and switch back to testing. |*COVID-19 Testing[MESH] |*COVID-19/epidemiology/prevention & control/transmission[MESH] |*Contact Tracing[MESH] |*Models, Biological[MESH] |*Pandemics[MESH] |*Physical Distancing[MESH] |*SARS-CoV-2[MESH]Optimal strategies for social distancing and testing to control COVID-(epmc).pdf DeepDyve Pubget Overpricing