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10.1063/5.0024204 http://scihub22266oqcxt.onion/10.1063/5.0024204 33003920!7519449!33003920     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       Chaos 2020 ; 30 (9): 091102 Nephropedia Template TP {{tp|p=33003920|t=2020. COVID-19 in the United States: Trajectories and second surge behavior |pdf=|usr=}}{{33003920}} gab.com Text COVID-19 in the United States: Trajectories and second surge behavior JO: Chaos http://www.kidney.de/pget.php?&tw=1&pmid=33003920 #FOAvip This paper introduces a mathematical framework for determining second surge behavior of COVID-19 cases in the United States. Within this framework, a flexible algorithmic approach selects a set of turning points for each state, computes distances between them, and determines whether each state is in (or over) a first or second surge. Then, appropriate distances between normalized time series are used to further analyze the relationships between case trajectories on a month-by-month basis. Our algorithm shows that 31 states are experiencing second surges, while four of the 10 largest states are still in their first surge, with case counts that have never decreased. This analysis can aid in highlighting the most and least successful state responses to COVID-19. Twit Text FOAVip COVID-19 in the United States: Trajectories and second surge behavior ????Chaos http://www.kidney.de/pget.php?&tw=1&pmid=33003920 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33003920 #FOAvip English Wikipedia <ref>{{Cite pmid|33003920}}</ref> COVID-19 in the United States: Trajectories and second surge behavior #MMPMID33003920 James N; Menzies M Chaos 2020[Sep]; 30 (9): 091102 PMID33003920show ga This paper introduces a mathematical framework for determining second surge behavior of COVID-19 cases in the United States. Within this framework, a flexible algorithmic approach selects a set of turning points for each state, computes distances between them, and determines whether each state is in (or over) a first or second surge. Then, appropriate distances between normalized time series are used to further analyze the relationships between case trajectories on a month-by-month basis. Our algorithm shows that 31 states are experiencing second surges, while four of the 10 largest states are still in their first surge, with case counts that have never decreased. This analysis can aid in highlighting the most and least successful state responses to COVID-19. |*Models, Theoretical[MESH] |Algorithms[MESH] |Betacoronavirus[MESH] |COVID-19[MESH] |Coronavirus Infections/*epidemiology[MESH] |Humans[MESH] |Pandemics[MESH] |Pneumonia, Viral/*epidemiology[MESH] |SARS-CoV-2[MESH] |Surge Capacity[MESH]COVID-19 in the United States: Trajectories and second surge behavior (epmc).pdf DeepDyve Pubget Overpricing