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10.1590/0037-8682-0331-2020 http://scihub22266oqcxt.onion/10.1590/0037-8682-0331-2020 C7341827!7341827 !32638889     free     free     free Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 261.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 261.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 261.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\32638889 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Rev+Soc+Bras+Med+Trop 2020 ; 53 (ä): e20200331 Nephropedia Template TP {{tp|p=32638889 |t=2020. Covid-19 growth rate analysis: application of a low-complexity tool for understanding and comparing epidemic curves |pdf=|usr=}}{{32638889 }} gab.com Text Covid-19 growth rate analysis: application of a low-complexity tool for understanding and comparing epidemic curves JO: Rev Soc Bras Med Trop http://www.kidney.de/pget.php?&tw=1&pmid=32638889 #FOAvip INTRODUCTION: The acceleration of new cases is important for the characterization and comparison of epidemic curves. The objective of this study was to quantify the acceleration of daily confirmed cases and death curves using the polynomial interpolation method. METHODS: Covid-19 epidemic curves from Brazil, Germany, the United States, and Russia were obtained. We calculated the instantaneous acceleration of the curve using the first derivative of the representative polynomial. RESULTS: The acceleration for all curves was obtained. CONCLUSIONS: Incorporating acceleration into an analysis of the Covid-19 time series may enable a better understanding of the epidemiological situation. Twit Text FOAVip Covid-19 growth rate analysis: application of a low-complexity tool for understanding and comparing epidemic curves ????Rev Soc Bras Med Trop http://www.kidney.de/pget.php?&tw=1&pmid=32638889 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32638889 #FOAvip English Wikipedia <ref>{{Cite pmid|32638889 }}</ref> Covid-19 growth rate analysis: application of a low-complexity tool for understanding and comparing epidemic curves #MMPMID32638889 Pinto AS ; Santos Júnior EGD ; Rodrigues CA ; Nunes PCM ; Cruz LAD ; Costa MGR ; Rocha MODC Rev Soc Bras Med Trop 2020[]; 53 (ä): e20200331 PMID32638889 show ga INTRODUCTION: The acceleration of new cases is important for the characterization and comparison of epidemic curves. The objective of this study was to quantify the acceleration of daily confirmed cases and death curves using the polynomial interpolation method. METHODS: Covid-19 epidemic curves from Brazil, Germany, the United States, and Russia were obtained. We calculated the instantaneous acceleration of the curve using the first derivative of the representative polynomial. RESULTS: The acceleration for all curves was obtained. CONCLUSIONS: Incorporating acceleration into an analysis of the Covid-19 time series may enable a better understanding of the epidemiological situation. |*Betacoronavirus [MESH] |Brazil/epidemiology [MESH] |COVID-19 [MESH] |Coronavirus Infections/*epidemiology/mortality [MESH] |Data Analysis [MESH] |Germany/epidemiology [MESH] |Humans [MESH] |Incidence [MESH] |Normal Distribution [MESH] |Pandemics [MESH] |Pneumonia, Viral/*epidemiology/mortality [MESH] |Russia/epidemiology [MESH] |SARS-CoV-2 [MESH]Covid-19 growth rate analysis: application of a low-complexity tool fo(epmc).pdf DeepDyve Pubget Overpricing