Article

A hybrid approach to predict COVID-19 cases using neural networks and inverse problem

2022-12-15

Abstract excerpt

We derive a novel hybrid approach, a combination of neural networks and inverse problem, in order to forecast COVID-19 cases, and more generally any infectious disease. For this purpose, we extract a second order nonlinear differential equation for the total confirmed cases from a SIR-like model. The latter is the cornerstone of the present study which allows to rigorously simplify the construction of the time-dep...

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Literature Corpus work: 7d5934e1-41e3-5d54-887d-fdb62884ad8d
DOI: 10.21203/rs.3.rs-2359792/v1

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