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10.1016/j.chaos.2020.109923 http://scihub22266oqcxt.onion/10.1016/j.chaos.2020.109923 32501375!7245296!32501375     free     free     free       Chaos+Solitons+Fractals 2020 ; 137 (ä): 109923 Nephropedia Template TP {{tp|p=32501375|t=2020. Lessons from being challenged by COVID-19 |pdf=|usr=}}{{32501375}} gab.com Text Lessons from being challenged by COVID-19 JO: Chaos Solitons Fractals http://www.kidney.de/pget.php?&tw=1&pmid=32501375 #FOAvip We present results of different approaches to model the evolution of the COVID-19 epidemic in Argentina, with a special focus on the megacity conformed by the city of Buenos Aires and its metropolitan area, including a total of 41 districts with over 13 million inhabitants. We first highlight the relevance of interpreting the early stage of the epidemic in light of incoming infectious travelers from abroad. Next, we critically evaluate certain proposed solutions to contain the epidemic based on instantaneous modifications of the reproductive number. Finally, we build increasingly complex and realistic models, ranging from simple homogeneous models used to estimate local reproduction numbers, to fully coupled inhomogeneous (deterministic or stochastic) models incorporating mobility estimates from cell phone location data. The models are capable of producing forecasts highly consistent with the official number of cases with minimal parameter fitting and fine-tuning. We discuss the strengths and limitations of the proposed models, focusing on the validity of different necessary first approximations, and caution future modeling efforts to exercise great care in the interpretation of long-term forecasts, and in the adoption of non-pharmaceutical interventions backed by numerical simulations. Twit Text FOAVip Lessons from being challenged by COVID-19 ????Chaos Solitons Fractals http://www.kidney.de/pget.php?&tw=1&pmid=32501375 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32501375 #FOAvip English Wikipedia <ref>{{Cite pmid|32501375}}</ref> Lessons from being challenged by COVID-19 #MMPMID32501375 Tagliazucchi E; Balenzuela P; Travizano M; Mindlin GB; Mininni PD Chaos Solitons Fractals 2020[Aug]; 137 (ä): 109923 PMID32501375show ga We present results of different approaches to model the evolution of the COVID-19 epidemic in Argentina, with a special focus on the megacity conformed by the city of Buenos Aires and its metropolitan area, including a total of 41 districts with over 13 million inhabitants. We first highlight the relevance of interpreting the early stage of the epidemic in light of incoming infectious travelers from abroad. Next, we critically evaluate certain proposed solutions to contain the epidemic based on instantaneous modifications of the reproductive number. Finally, we build increasingly complex and realistic models, ranging from simple homogeneous models used to estimate local reproduction numbers, to fully coupled inhomogeneous (deterministic or stochastic) models incorporating mobility estimates from cell phone location data. The models are capable of producing forecasts highly consistent with the official number of cases with minimal parameter fitting and fine-tuning. We discuss the strengths and limitations of the proposed models, focusing on the validity of different necessary first approximations, and caution future modeling efforts to exercise great care in the interpretation of long-term forecasts, and in the adoption of non-pharmaceutical interventions backed by numerical simulations. äLessons from being challenged by COVID-19 (epmc).pdf DeepDyve Pubget Overpricing