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Digital twins based on bidirectional LSTM and GAN for modelling the COVID-19 pandemic

  • Published:2022-01 Issue: Volume:470 Page:11-28
  • ISSN:0925-2312
  • Container-title:Neurocomputing
  • language:en
  • Short-container-title:Neurocomputing

Author:

Quilodrán-Casas César,Silva Vinicius L.S.,Arcucci Rossella,Heaney Claire E.,Guo YiKe,Pain Christopher C.

Funder

EPSRC

CONICYT

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference74 articles.

1. An interactive web-based dashboard to track COVID-19 in real time;Dong;Lancet Infect. Diseases,2020

2. A systematic review of COVID-19 epidemiology based on current evidence;Park;J. Clin. Med.,2020

3. A new tool for epidemiology: the usefulness of dynamic-agent models in understanding place effects on health;Auchincloss;Am. J. Epidemiol.,2008

4. An agent-based model to evaluate the COVID-19 transmission risks in facilities;Cuevas;Comput. Biol. Med.,2020

5. An Agent-Based Modeling of COVID-19: Validation, Analysis, and Recommendations;Shamil;Cogn. Comput.,2021

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