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10.1016/j.imu.2020.100420 http://scihub22266oqcxt.onion/10.1016/j.imu.2020.100420 32905098!7462775!32905098     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=32905098&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 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 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\32905098.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Inform+Med+Unlocked 2020 ; 20 (ä): 100420 Nephropedia Template TP {{tp|p=32905098|t=2020. Impact of lockdowns on the spread of COVID-19 in Saudi Arabia |pdf=|usr=}}{{32905098}} gab.com Text Impact of lockdowns on the spread of COVID-19 in Saudi Arabia JO: Inform Med Unlocked http://www.kidney.de/pget.php?&tw=1&pmid=32905098 #FOAvip Epidemiological models have been used extensively to predict disease spread in large populations. Among these models, Susceptible Infectious Exposed Recovered (SEIR) is considered to be a suitable model for COVID-19 spread predictions. However, SEIR in its classical form is unable to quantify the impact of lockdowns. In this work, we introduce a variable in the SEIR system of equations to study the impact of various degrees of social distancing on the spread of the disease. As a case study, we apply our modified SEIR model on the initial spread data available (till April 9, 2020) for the Kingdom of Saudi Arabia (KSA). Our analysis shows that with no lockdown around 2.1 million people might get infected during the peak of spread around 2 months from the date the lockdown was first enforced in KSA (March 25th). On the other hand, with the Kingdom's current strategy of partial lockdowns, the predicted number of infections can be lowered to 0.4 million by September 2020. We further demonstrate that with a stricter level of lockdowns, the COVID-19 curve can be effectively flattened in KSA. Twit Text FOAVip Impact of lockdowns on the spread of COVID-19 in Saudi Arabia ????Inform Med Unlocked http://www.kidney.de/pget.php?&tw=1&pmid=32905098 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32905098 #FOAvip English Wikipedia <ref>{{Cite pmid|32905098}}</ref> Impact of lockdowns on the spread of COVID-19 in Saudi Arabia #MMPMID32905098 Alrashed S; Min-Allah N; Saxena A; Ali I; Mehmood R Inform Med Unlocked 2020[]; 20 (ä): 100420 PMID32905098show ga Epidemiological models have been used extensively to predict disease spread in large populations. Among these models, Susceptible Infectious Exposed Recovered (SEIR) is considered to be a suitable model for COVID-19 spread predictions. However, SEIR in its classical form is unable to quantify the impact of lockdowns. In this work, we introduce a variable in the SEIR system of equations to study the impact of various degrees of social distancing on the spread of the disease. As a case study, we apply our modified SEIR model on the initial spread data available (till April 9, 2020) for the Kingdom of Saudi Arabia (KSA). Our analysis shows that with no lockdown around 2.1 million people might get infected during the peak of spread around 2 months from the date the lockdown was first enforced in KSA (March 25th). On the other hand, with the Kingdom's current strategy of partial lockdowns, the predicted number of infections can be lowered to 0.4 million by September 2020. We further demonstrate that with a stricter level of lockdowns, the COVID-19 curve can be effectively flattened in KSA. äImpact of lockdowns on the spread of COVID-19 in Saudi Arabia (epmc).pdf DeepDyve Pubget Overpricing