Prediction of epidemic trends in COVID-19 with logistic model and machine learning technics-Reference-Cited by-同舟云学术

Prediction of epidemic trends in COVID-19 with logistic model and machine learning technics

Published:2020-10 Issue: Volume:139 Page:110058
ISSN:0960-0779
Container-title:Chaos, Solitons & Fractals
language:en
Short-container-title:Chaos, Solitons & Fractals

Author:

Wang Peipei^ORCID,Zheng Xinqi^ORCID,Li Jiayang,Zhu Bangren

Publisher

Elsevier BV

Subject

General Mathematics,General Physics and Astronomy,Statistical and Nonlinear Physics,Applied Mathematics

Reference27 articles.

1. Evolutionary history, potential intermediate animal host, and cross-species analyses of SARS-CoV-2;Li;J Med Virol,2020

2. Clinical characteristics of coronavirus disease 2019 in China;Guan;N Engl J Med,2020

3. Early transmission dynamics in Wuhan, China, of novel coronavirus-infected pneumonia;Li;N Engl J Med,2020

4. Will COVID-19 generate global preparedness?;Jacobsen;Lancet,2020

5. W. H. Organization, Coronavirus disease (COVID-19) situation report-147, ([EB/OL]). https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200615-covid-19-sitrep-147.pdf?sfvrsn=2497a605_2 Accessed June 16, 2020.

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