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10.1002/mma.7154 http://scihub22266oqcxt.onion/10.1002/mma.7154 33821067!8013540!33821067     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       Math+Methods+Appl+Sci 2021 ; 44 (7): 5873-5887 Nephropedia Template TP {{tp|p=33821067|t=2021. A dynamic model for the COVID-19 with direct and indirect transmission pathways |pdf=|usr=}}{{33821067}} gab.com Text A dynamic model for the COVID-19 with direct and indirect transmission pathways JO: Math Methods Appl Sci http://www.kidney.de/pget.php?&tw=1&pmid=33821067 #FOAvip Two common transmission pathways for the spread of COVID-19 virus are direct and indirect. The direct pathway refers to the person-to-person transmission between susceptibles and infectious individuals. Infected individuals shed virus on the objects, and new infections arise through touching a contaminated surface; this refers to the indirect transmission pathway. We model the direct and indirect transmission pathways with a S A D O (I) R ode model. Our proposal explicitly includes compartments for the contaminated objects, susceptible individuals, asymptomatic infectious, detected infectious, and recovered individuals. We compute the basic reproduction number and epidemic growth rate of the model and determine how these fundamental quantities relate to the transmission rate of the pathways. We further study the relationship between the rate of loss of immunity and the occurrence of backward bifurcation. An efficient statistical framework is introduced to estimate the parameters of the model. We show the performance of the model in the simulation scenarios and the real data from the COVID-19 daily cases in South Korea. Twit Text FOAVip A dynamic model for the COVID-19 with direct and indirect transmission pathways ????Math Methods Appl Sci http://www.kidney.de/pget.php?&tw=1&pmid=33821067 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33821067 #FOAvip English Wikipedia <ref>{{Cite pmid|33821067}}</ref> A dynamic model for the COVID-19 with direct and indirect transmission pathways #MMPMID33821067 Memarbashi R; Mahmoudi SM Math Methods Appl Sci 2021[May]; 44 (7): 5873-5887 PMID33821067show ga Two common transmission pathways for the spread of COVID-19 virus are direct and indirect. The direct pathway refers to the person-to-person transmission between susceptibles and infectious individuals. Infected individuals shed virus on the objects, and new infections arise through touching a contaminated surface; this refers to the indirect transmission pathway. We model the direct and indirect transmission pathways with a S A D O (I) R ode model. Our proposal explicitly includes compartments for the contaminated objects, susceptible individuals, asymptomatic infectious, detected infectious, and recovered individuals. We compute the basic reproduction number and epidemic growth rate of the model and determine how these fundamental quantities relate to the transmission rate of the pathways. We further study the relationship between the rate of loss of immunity and the occurrence of backward bifurcation. An efficient statistical framework is introduced to estimate the parameters of the model. We show the performance of the model in the simulation scenarios and the real data from the COVID-19 daily cases in South Korea. äA dynamic model for the COVID-19 with direct and indirect transmission(epmc).pdf DeepDyve Pubget Overpricing