This paper is in the following e-collection/theme issue:

Infodemiology and Infoveillance (1269) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1010) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1552) Influenza and Influenza-Like-Illness (ILI) Surveillance (203) Innovative Methods in Public Health and Surveillance (305) Memory (42)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42519, first published .
Long Short-term Memory–Based Prediction of the Spread of Influenza-Like Illness Leveraging Surveillance, Weather, and Twitter Data: Model Development and Validation

Long Short-term Memory–Based Prediction of the Spread of Influenza-Like Illness Leveraging Surveillance, Weather, and Twitter Data: Model Development and Validation

Long Short-term Memory–Based Prediction of the Spread of Influenza-Like Illness Leveraging Surveillance, Weather, and Twitter Data: Model Development and Validation

Authors of this article:

Maria Athanasiou1 Author Orcid Image ;   Georgios Fragkozidis1 Author Orcid Image ;   Konstantia Zarkogianni1 Author Orcid Image ;   Konstantina S Nikita1 Author Orcid Image
Article Authors Cited by (9) Tweetations (5) Metrics

Maria Athanasiou   1 , PhD ;   Georgios Fragkozidis   1 , BSc ;   Konstantia Zarkogianni   1 , PhD ;   Konstantina S Nikita   1 , MD, PhD

1 School of Electrical and Computer Engineering, National Technical University of Athens, Zografos, Athens, Greece

Corresponding Author:

  • Maria Athanasiou, PhD
  • School of Electrical and Computer Engineering
  • National Technical University of Athens
  • 9, Iroon Polytechniou Str.
  • Zografos, Athens, 15780
  • Greece
  • Phone: 30 2107722149
  • Email: mathanasiou@biosim.ntua.gr