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10.1007/s12559-020-09801-w http://scihub22266oqcxt.onion/10.1007/s12559-020-09801-w 33643473!7893846!33643473     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33643473&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 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Cognit+Comput 2021 ; ä (ä): 1-12 Nephropedia Template TP {{tp|p=33643473|t=2021. An Agent-Based Modeling of COVID-19: Validation, Analysis, and Recommendations |pdf=|usr=}}{{33643473}} gab.com Text An Agent-Based Modeling of COVID-19: Validation, Analysis, and Recommendations JO: Cognit Comput http://www.kidney.de/pget.php?&tw=1&pmid=33643473 #FOAvip The coronavirus disease 2019 (COVID-19) has resulted in an ongoing pandemic worldwide. Countries have adopted non-pharmaceutical interventions (NPI) to slow down the spread. This study proposes an agent-based model that simulates the spread of COVID-19 among the inhabitants of a city. The agent-based model can be accommodated for any location by integrating parameters specific to the city. The simulation gives the number of total COVID-19 cases. Considering each person as an agent susceptible to COVID-19, the model causes infected individuals to transmit the disease via various actions performed every hour. The model is validated by comparing the simulation to the real data of Ford County, KS, USA. Different interventions, including contact tracing, are applied on a scaled-down version of New York City, USA, and the parameters that lead to a controlled epidemic are determined. Our experiments suggest that contact tracing via smartphones with more than 60% of the population owning a smartphone combined with city-wide lockdown results in the effective reproduction number (R (t) ) to fall below 1 within 3 weeks of intervention. For 75% or more smartphone users, new infections are eliminated, and the spread is contained within 3 months of intervention. Contact tracing accompanied with early lockdown can suppress the epidemic growth of COVID-19 completely with sufficient smartphone owners. In places where it is difficult to ensure a high percentage of smartphone ownership, tracing only emergency service providers during a lockdown can go a long way to contain the spread. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at (10.1007/s12559-020-09801-w). Twit Text FOAVip An Agent-Based Modeling of COVID-19: Validation, Analysis, and Recommendations ????Cognit Comput http://www.kidney.de/pget.php?&tw=1&pmid=33643473 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33643473 #FOAvip English Wikipedia <ref>{{Cite pmid|33643473}}</ref> An Agent-Based Modeling of COVID-19: Validation, Analysis, and Recommendations #MMPMID33643473 Shamil MS; Farheen F; Ibtehaz N; Khan IM; Rahman MS Cognit Comput 2021[Feb]; ä (ä): 1-12 PMID33643473show ga The coronavirus disease 2019 (COVID-19) has resulted in an ongoing pandemic worldwide. Countries have adopted non-pharmaceutical interventions (NPI) to slow down the spread. This study proposes an agent-based model that simulates the spread of COVID-19 among the inhabitants of a city. The agent-based model can be accommodated for any location by integrating parameters specific to the city. The simulation gives the number of total COVID-19 cases. Considering each person as an agent susceptible to COVID-19, the model causes infected individuals to transmit the disease via various actions performed every hour. The model is validated by comparing the simulation to the real data of Ford County, KS, USA. Different interventions, including contact tracing, are applied on a scaled-down version of New York City, USA, and the parameters that lead to a controlled epidemic are determined. Our experiments suggest that contact tracing via smartphones with more than 60% of the population owning a smartphone combined with city-wide lockdown results in the effective reproduction number (R (t) ) to fall below 1 within 3 weeks of intervention. For 75% or more smartphone users, new infections are eliminated, and the spread is contained within 3 months of intervention. Contact tracing accompanied with early lockdown can suppress the epidemic growth of COVID-19 completely with sufficient smartphone owners. In places where it is difficult to ensure a high percentage of smartphone ownership, tracing only emergency service providers during a lockdown can go a long way to contain the spread. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at (10.1007/s12559-020-09801-w). äAn Agent-Based Modeling of COVID-19: Validation, Analysis, and Recomme(epmc).pdf DeepDyve Pubget Overpricing