Covid-19 growth rate analysis: application of a low-complexity tool for understanding and comparing epidemic curves-Reference-Cited by-同舟云学术

Covid-19 growth rate analysis: application of a low-complexity tool for understanding and comparing epidemic curves

Published:2020 Issue: Volume:53 Page:
ISSN:1678-9849
Container-title:Revista da Sociedade Brasileira de Medicina Tropical
language:
Short-container-title:Rev. Soc. Bras. Med. Trop.

Author:

Pinto Airandes de Sousa¹^ORCID,Santos Júnior Edval Gomes dos¹,Rodrigues Carlos Alberto¹,Nunes Paulo Cesar Mendes¹,Cruz Livia Almeida da²,Costa Matheus Gomes Reis¹,Rocha Manoel Otávio da Costa³

Affiliation:

1. Universidade Estadual de Feira de Santana, Brasil

2. Grupo Baiano de Oncologia, Brasil

3. Universidade Federal de Minas Gerais, Brasil

Publisher

FapUNIFESP (SciELO)

Subject

Infectious Diseases,Microbiology (medical),Parasitology

Link

http://www.scielo.br/pdf/rsbmt/v53/1678-9849-rsbmt-53-e20200331.pdf

Reference6 articles.

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2. Can mathematical modelling solve the current Covid-19 crisis?;Panovska-Griffiths J;BMC Public Health,2020

3. Growth rate and acceleration analysis of the COVID-19 pandemic reveals the effect of public health measures in real time;Utsunomiya YT;medRxiv,2020

4. Nonlinear least squares with local polynomial interpolation for quantitative analysis of IR spectra;Wu Y;Spectrochim Acta Part A Mol Biomol Spectrosc,2019

5. Quantum algorithm for multivariate polynomial interpolation;Chen J;Proceedings Math Phys Eng Sci,2018

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