A new RNN based machine learning model to forecast COVID-19 incidence, enhanced by the use of mobility data from the bike-sharing service in Madrid

Author:

Muñoz-Organero MarioORCID,Callejo PatriciaORCID,Hombrados-Herrera Miguel Ángel

Funder

Ministerio de Ciencia e Innovación

Universidad Carlos III de Madrid

European Regional Development Fund

Agencia Estatal de Investigación

Comunidad de Madrid

European Commission

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference36 articles.

1. Covid-19 vaccines—immunity, variants, boosters;Barouch;N. Engl. J. Med.,2022

2. Describing, modelling and forecasting the spatial and temporal spread of COVID-19: a short review;Arino;Mathematics of Public Health,2022

3. Data-driven modeling and forecasting of COVID-19 outbreak for public policy making;Hasan;ISA Trans.,2021

4. When predictions are used to allocate scarce health care resources: three considerations for models in the era of Covid-19;Kent;Diagnostic and prognostic research,2020

5. Management of covid-19 detection using artificial intelligence in 2020 pandemic;Ghaderzadeh,2021

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