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.

10.1016/j.procs.2021.01.053 http://scihub22266oqcxt.onion/10.1016/j.procs.2021.01.053 33936324!8072599!33936324     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Procedia+Comput+Sci 2021 ; 179 (ä): 662-669 Nephropedia Template TP {{tp|p=33936324|t=2021. Forecasting Social Distancing impact on COVID-19 in Jakarta using SIRD Model |pdf=|usr=}}{{33936324}} gab.com Text Forecasting Social Distancing impact on COVID-19 in Jakarta using SIRD Model JO: Procedia Comput Sci http://www.kidney.de/pget.php?&tw=1&pmid=33936324 #FOAvip Coronavirus disease 2019 (COVID-19) is a new emerging disease and a pandemic causing a high number of deaths. It is caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV2) and transmitted via droplets. Several countries including Indonesia had applied social distancing to reduce the disease transmission. In this study, we were using two groups, with social distancing and without social distancing represented by quarantine parameter Q. We predict the peak number in both groups using Susceptible-Infected-Recovered-Deceased (SIRD) model. The aims of this study are to compare the peak number of cases in groups with and without social distancing cases in Jakarta. This study result in a lower peak number and longer days of disease period in group with strict social distancing than in groups without social distancing, the current case number represent quarantine parameter Q 0.4 of SIRD Model. We suggest applying strict social distancing in Jakarta considering the duration, health standard, and other factors affecting COVID-19 cases. Twit Text FOAVip Forecasting Social Distancing impact on COVID-19 in Jakarta using SIRD Model ????Procedia Comput Sci http://www.kidney.de/pget.php?&tw=1&pmid=33936324 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33936324 #FOAvip English Wikipedia <ref>{{Cite pmid|33936324}}</ref> Forecasting Social Distancing impact on COVID-19 in Jakarta using SIRD Model #MMPMID33936324 Jason; Roslynlia; Gunawan AAS Procedia Comput Sci 2021[]; 179 (ä): 662-669 PMID33936324show ga Coronavirus disease 2019 (COVID-19) is a new emerging disease and a pandemic causing a high number of deaths. It is caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV2) and transmitted via droplets. Several countries including Indonesia had applied social distancing to reduce the disease transmission. In this study, we were using two groups, with social distancing and without social distancing represented by quarantine parameter Q. We predict the peak number in both groups using Susceptible-Infected-Recovered-Deceased (SIRD) model. The aims of this study are to compare the peak number of cases in groups with and without social distancing cases in Jakarta. This study result in a lower peak number and longer days of disease period in group with strict social distancing than in groups without social distancing, the current case number represent quarantine parameter Q 0.4 of SIRD Model. We suggest applying strict social distancing in Jakarta considering the duration, health standard, and other factors affecting COVID-19 cases. äForecasting Social Distancing impact on COVID-19 in Jakarta using SIRD(epmc).pdf DeepDyve Pubget Overpricing