A simple mathematical model for the evaluation of the long first wave of the COVID-19 pandemic in Brazil

Autor: Sarah de Oliveira Poma, Laureane Nunes Masi, Marli C Curpertino, Rui Curi, Elaine Hatanaka, Eliane Borges da Silva, Renata Gorjão, Jarlei Fiamoncini, Matheus Gennari-Felipe, Patricia Nancy Iser-Bem, Maria Fernanda Cury-Boaventura, Bruno R M Nacano, Sandro M. Hirabara, Adriana Cristina Levada-Pires, Tamires Duarte Afonso Serdan, Diego Ribeiro de Souza, Tania Cristina Pithon-Curi, Yuanji Tang, Carol Góis Leandro, Fernanda Borges, Amanda Lins Alecrim, Sherry Tang, Flaviano Luis Rocha da Silva

Publikováno v: Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Scientific Reports

We propose herein a mathematical model to predict the COVID-19 evolution and evaluate the impact of governmental decisions on this evolution, attempting to explain the long duration of the pandemic in the 26 Brazilian states and their capitals well a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3fd7e58c3b63bdedad2b43c812aaf70
https://doaj.org/article/6489676b149943b9be31d453fad56b73