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10.1155/2021/5089184 http://scihub22266oqcxt.onion/10.1155/2021/5089184 34124240!8172286!34124240     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Biomed+Res+Int 2021 ; 2021 (ä): 5089184 Nephropedia Template TP {{tp|p=34124240|t=2021. Modelling the Transmission Dynamics of COVID-19 in Six High-Burden Countries |pdf=|usr=}}{{34124240}} gab.com Text Modelling the Transmission Dynamics of COVID-19 in Six High-Burden Countries JO: Biomed Res Int http://www.kidney.de/pget.php?&tw=1&pmid=34124240 #FOAvip The new Coronavirus Disease 19, officially known as COVID-19, originated in China in 2019 and has since spread worldwide. We presented an age-structured Susceptible-Latent-Mild-Critical-Removed (SLMCR) compartmental model of COVID-19 disease transmission with nonlinear incidence during the pandemic period. We provided the model calibration to estimate parameters with day-wise COVID-19 data, i.e., reported cases by worldometer from 15(th) February to 30(th) March 2020 in six high-burden countries, including Australia, Italy, Spain, the USA, the UK, and Canada. We estimate transmission rates for each country and found that the country with the highest transmission rate is Spain, which may increase the new cases and deaths than the other countries. We found that saturation infection negatively impacted the dynamics of COVID-19 cases in all the six high-burden countries. The study used a sensitivity analysis to identify the most critical parameters through the partial rank correlation coefficient method. We found that the transmission rate of COVID-19 had the most significant influence on prevalence. The prediction of new cases in COVID-19 until 30(th) April 2020 using the developed model was also provided with recommendations to control strategies of COVID-19. We also found that adults are more susceptible to infection than both children and older people in all six countries. However, in Italy, Spain, the UK, and Canada, older people show more susceptibility to infection than children, opposite to the case in Australia and the USA. The information generated from this study would be helpful to the decision-makers of various organisations across the world, including the Ministry of Health in Australia, Italy, Spain, the USA, the UK, and Canada, to control COVID-19. Twit Text FOAVip Modelling the Transmission Dynamics of COVID-19 in Six High-Burden Countries ????Biomed Res Int http://www.kidney.de/pget.php?&tw=1&pmid=34124240 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34124240 #FOAvip English Wikipedia <ref>{{Cite pmid|34124240}}</ref> Modelling the Transmission Dynamics of COVID-19 in Six High-Burden Countries #MMPMID34124240 Rahman A; Kuddus MA Biomed Res Int 2021[]; 2021 (ä): 5089184 PMID34124240show ga The new Coronavirus Disease 19, officially known as COVID-19, originated in China in 2019 and has since spread worldwide. We presented an age-structured Susceptible-Latent-Mild-Critical-Removed (SLMCR) compartmental model of COVID-19 disease transmission with nonlinear incidence during the pandemic period. We provided the model calibration to estimate parameters with day-wise COVID-19 data, i.e., reported cases by worldometer from 15(th) February to 30(th) March 2020 in six high-burden countries, including Australia, Italy, Spain, the USA, the UK, and Canada. We estimate transmission rates for each country and found that the country with the highest transmission rate is Spain, which may increase the new cases and deaths than the other countries. We found that saturation infection negatively impacted the dynamics of COVID-19 cases in all the six high-burden countries. The study used a sensitivity analysis to identify the most critical parameters through the partial rank correlation coefficient method. We found that the transmission rate of COVID-19 had the most significant influence on prevalence. The prediction of new cases in COVID-19 until 30(th) April 2020 using the developed model was also provided with recommendations to control strategies of COVID-19. We also found that adults are more susceptible to infection than both children and older people in all six countries. However, in Italy, Spain, the UK, and Canada, older people show more susceptibility to infection than children, opposite to the case in Australia and the USA. The information generated from this study would be helpful to the decision-makers of various organisations across the world, including the Ministry of Health in Australia, Italy, Spain, the USA, the UK, and Canada, to control COVID-19. |*Models, Statistical[MESH] |*Pandemics[MESH] |Adolescent[MESH] |Adult[MESH] |Age Factors[MESH] |Aged[MESH] |Aged, 80 and over[MESH] |Australia/epidemiology[MESH] |COVID-19/*epidemiology/mortality/*transmission[MESH] |Canada/epidemiology[MESH] |Child[MESH] |Child, Preschool[MESH] |Computer Simulation[MESH] |Female[MESH] |Humans[MESH] |Incidence[MESH] |Infant[MESH] |Infant, Newborn[MESH] |Italy/epidemiology[MESH] |Male[MESH] |Middle Aged[MESH] |Prevalence[MESH] |SARS-CoV-2/*pathogenicity[MESH] |Severity of Illness Index[MESH] |Spain/epidemiology[MESH] |Survival Analysis[MESH] |United Kingdom/epidemiology[MESH]Modelling the Transmission Dynamics of COVID-19 in Six High-Burden Cou(epmc).pdf DeepDyve Pubget Overpricing