Predicting COVID-19 pandemic waves with biologically and behaviorally informed universal differential equations

Abstract excerpt

In the early stages of the COVID-19 pandemic, it became clear that pandemic waves and population responses were locked in a mutual feedback loop. The initial lull following strict interventions in the first wave often led to a second wave, as restrictions were relaxed. We test the ability of new hybrid machine learning techniques, namely universal differential equations (UDEs) with learning biases, to make predict...

Topics

Open a Topic to create a Post that cites this publication.

• Algorithms
• COVID-19
• COVID-19 Vaccines
• Forecasting
• Immune Evasion
• Mutation
• Pandemics
• SARS-CoV-2

Identifiers and source

Literature Corpus work

942a3e68-e03b-5d03-9218-921f459faff4

DOI

10.1101/2023.03.11.23287141