Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1002/pa.2306 http://scihub22266oqcxt.onion/10.1002/pa.2306 32904838!7461001!32904838     free     free     free Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Public+Aff 2020 ; 20 (4): e2306 Nephropedia Template TP {{tp|p=32904838|t=2020. Mathematical modeling for infectious viral disease: The COVID-19 perspective |pdf=|usr=}}{{32904838}} gab.com Text Mathematical modeling for infectious viral disease: The COVID-19 perspective JO: J Public Aff http://www.kidney.de/pget.php?&tw=1&pmid=32904838 #FOAvip In this study, we examined various forms of mathematical models that are relevant for the containment, risk analysis, and features of COVID-19. Greater emphasis was laid on the extension of the Susceptible-Infectious-Recovered (SIR) models for policy relevance in the time of COVID-19. These mathematical models play a significant role in the understanding of COVID-19 transmission mechanisms, structures, and features. Considering that the disease has spread sporadically around the world, causing large scale socioeconomic disruption unwitnessed in contemporary ages since World War II, researchers, stakeholders, government, and the society at large are actively engaged in finding ways to reduce the rate of infection until a cure or vaccination procedure is established. We advanced argument for the various forms of the mathematical model of epidemics and highlighted their relevance in the containment of COVID-19 at the present time. Mathematical models address the need for understanding the transmission dynamics and other significant factors of the disease that would aid policymakers to make accurate decisions and reduce the rate of transmission of the disease. Twit Text FOAVip Mathematical modeling for infectious viral disease: The COVID-19 perspective ????J Public Aff http://www.kidney.de/pget.php?&tw=1&pmid=32904838 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32904838 #FOAvip English Wikipedia <ref>{{Cite pmid|32904838}}</ref> Mathematical modeling for infectious viral disease: The COVID-19 perspective #MMPMID32904838 Adekola HA; Adekunle IA; Egberongbe HO; Onitilo SA; Abdullahi IN J Public Aff 2020[Nov]; 20 (4): e2306 PMID32904838show ga In this study, we examined various forms of mathematical models that are relevant for the containment, risk analysis, and features of COVID-19. Greater emphasis was laid on the extension of the Susceptible-Infectious-Recovered (SIR) models for policy relevance in the time of COVID-19. These mathematical models play a significant role in the understanding of COVID-19 transmission mechanisms, structures, and features. Considering that the disease has spread sporadically around the world, causing large scale socioeconomic disruption unwitnessed in contemporary ages since World War II, researchers, stakeholders, government, and the society at large are actively engaged in finding ways to reduce the rate of infection until a cure or vaccination procedure is established. We advanced argument for the various forms of the mathematical model of epidemics and highlighted their relevance in the containment of COVID-19 at the present time. Mathematical models address the need for understanding the transmission dynamics and other significant factors of the disease that would aid policymakers to make accurate decisions and reduce the rate of transmission of the disease. äMathematical modeling for infectious viral disease: The COVID-19 persp(epmc).pdf DeepDyve Pubget Overpricing