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10.1016/j.compbiomed.2021.104645 http://scihub22266oqcxt.onion/10.1016/j.compbiomed.2021.104645 34325230!8275845!34325230     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=34325230&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 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       Comput+Biol+Med 2021 ; 136 (ä): 104645 Nephropedia Template TP {{tp|p=34325230|t=2021. Multi-agent simulation model for the evaluation of COVID-19 transmission |pdf=|usr=}}{{34325230}} gab.com Text Multi-agent simulation model for the evaluation of COVID-19 transmission JO: Comput Biol Med http://www.kidney.de/pget.php?&tw=1&pmid=34325230 #FOAvip This work proposes an agent-based model to analyze the spread processes of the COVID-19 epidemics in open regions and based on hypothetical social scenarios of viral transmissibility. Differently from other previous models, we consider the environment to be a multi-region space in which the epidemic spreads according to the dynamics and the concentration of agents in such regions. This paper suggests that software agents can provide a more suitable model for individuals, and their features, thus showing the influence of civil society in the context of pandemic management. This is achieved by modeling an individual as an agent with a wide range of features (health condition, purchasing power, awareness, mobility, professional activity, age, and gender). The model supports the design of populations and interactions akin to real-life scenarios. Simulation results show that the proposed model can be applied in several ways to support decision-makers to better understand the epidemic spread and the actions that can be taken against the pandemic. Twit Text FOAVip Multi-agent simulation model for the evaluation of COVID-19 transmission ????Comput Biol Med http://www.kidney.de/pget.php?&tw=1&pmid=34325230 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34325230 #FOAvip English Wikipedia <ref>{{Cite pmid|34325230}}</ref> Multi-agent simulation model for the evaluation of COVID-19 transmission #MMPMID34325230 Castro BM; de Abreu de Melo Y; Fernanda Dos Santos N; Luiz da Costa Barcellos A; Choren R; Salles RM Comput Biol Med 2021[Sep]; 136 (ä): 104645 PMID34325230show ga This work proposes an agent-based model to analyze the spread processes of the COVID-19 epidemics in open regions and based on hypothetical social scenarios of viral transmissibility. Differently from other previous models, we consider the environment to be a multi-region space in which the epidemic spreads according to the dynamics and the concentration of agents in such regions. This paper suggests that software agents can provide a more suitable model for individuals, and their features, thus showing the influence of civil society in the context of pandemic management. This is achieved by modeling an individual as an agent with a wide range of features (health condition, purchasing power, awareness, mobility, professional activity, age, and gender). The model supports the design of populations and interactions akin to real-life scenarios. Simulation results show that the proposed model can be applied in several ways to support decision-makers to better understand the epidemic spread and the actions that can be taken against the pandemic. |*COVID-19[MESH] |Computer Simulation[MESH] |Humans[MESH] |Pandemics[MESH] |SARS-CoV-2[MESH]Multi-agent simulation model for the evaluation of COVID-19 transmissi(epmc).pdf DeepDyve Pubget Overpricing