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10.1590/0037-8682-0331-2020

http://scihub22266oqcxt.onion/10.1590/0037-8682-0331-2020
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32638889!7341827!32638889
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suck abstract from ncbi


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pmid32638889      Rev+Soc+Bras+Med+Trop 2020 ; 53 (ä): e20200331
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  • Covid-19 growth rate analysis: application of a low-complexity tool for understanding and comparing epidemic curves #MMPMID32638889
  • Pinto AS; Santos Junior EGD; Rodrigues CA; Nunes PCM; Cruz LAD; Costa MGR; Rocha MODC
  • Rev Soc Bras Med Trop 2020[]; 53 (ä): e20200331 PMID32638889show 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]


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