A quantitative framework for exploring exit strategies from the COVID-19 lockdown

DOI10.1016/j.chaos.2020.110244zbMath1495.92082arXiv2005.13698OpenAlexW3029426276WikidataQ99629603 ScholiaQ99629603MaRDI QIDQ2123688

Panayotis G. Kevrekidis, Jesús Cuevas, Athanassios S. Fokas

Publication date: 14 April 2022

Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2005.13698

zbMATH Keywords

ordinary differential equationsCOVID-19 modelingcumulative death modelinglockdown exit strategiesparameter estimation and optimization

Mathematics Subject Classification ID

Epidemiology (92D30) PDEs in connection with biology, chemistry and other natural sciences (35Q92)

Related Items (2)

Social distancing versus early detection and contacts tracing in epidemic management ⋮ Lockdown measures and their impact on single- and two-age-structured epidemic model for the COVID-19 outbreak in Mexico

Uses Software

• GitHub

Cites Work

• Unnamed Item
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• Manifold learning for parameter reduction
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• Analytical and numerical solutions of mathematical biology models: The Newell‐Whitehead‐Segel and Allen‐Cahn equations

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