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10.1007/s11071-020-05879-x http://scihub22266oqcxt.onion/10.1007/s11071-020-05879-x 32904917!7462111!32904917     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       Nonlinear+Dyn 2020 ; 101 (3): 1921-1932 Nephropedia Template TP {{tp|p=32904917|t=2020. Age-group-targeted testing for COVID-19 as a new prevention strategy |pdf=|usr=}}{{32904917}} gab.com Text Age-group-targeted testing for COVID-19 as a new prevention strategy JO: Nonlinear Dyn http://www.kidney.de/pget.php?&tw=1&pmid=32904917 #FOAvip Robust testing and tracing are key to fighting the menace of coronavirus disease 2019 (COVID-19). This outbreak has progressed with tremendous impact on human life, society and economy. In this paper, we propose an age-structured SIQR model to track the progression of the pandemic in India, Italy and USA, taking into account the different age structures of these countries. We have made predictions about the disease dynamics, identified the most infected age groups and analysed the effectiveness of social distancing measures taken in the early stages of infection. The basic reproductive ratio R0 has been numerically calculated for each country. We propose a strategy of age-targeted testing, with increased testing in the most proportionally infected age groups. We observe a marked flattening of the infection curve upon simulating increased testing in the 15-40 year age groups in India. Thus, we conclude that social distancing and widespread testing are effective methods of control, with emphasis on testing and identifying the hot spots of highly infected populations. It has also been suggested that a complete lockdown, followed by lockdowns in selected regions, is more effective than the reverse. Twit Text FOAVip Age-group-targeted testing for COVID-19 as a new prevention strategy ????Nonlinear Dyn http://www.kidney.de/pget.php?&tw=1&pmid=32904917 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32904917 #FOAvip English Wikipedia <ref>{{Cite pmid|32904917}}</ref> Age-group-targeted testing for COVID-19 as a new prevention strategy #MMPMID32904917 Upadhyay RK; Chatterjee S; Saha S; Azad RK Nonlinear Dyn 2020[]; 101 (3): 1921-1932 PMID32904917show ga Robust testing and tracing are key to fighting the menace of coronavirus disease 2019 (COVID-19). This outbreak has progressed with tremendous impact on human life, society and economy. In this paper, we propose an age-structured SIQR model to track the progression of the pandemic in India, Italy and USA, taking into account the different age structures of these countries. We have made predictions about the disease dynamics, identified the most infected age groups and analysed the effectiveness of social distancing measures taken in the early stages of infection. The basic reproductive ratio R0 has been numerically calculated for each country. We propose a strategy of age-targeted testing, with increased testing in the most proportionally infected age groups. We observe a marked flattening of the infection curve upon simulating increased testing in the 15-40 year age groups in India. Thus, we conclude that social distancing and widespread testing are effective methods of control, with emphasis on testing and identifying the hot spots of highly infected populations. It has also been suggested that a complete lockdown, followed by lockdowns in selected regions, is more effective than the reverse. äAge-group-targeted testing for COVID-19 as a new prevention strategy (epmc).pdf DeepDyve Pubget Overpricing