EpiNetEKF: Code and data to accompany the article "Networked SIRS model with Kalman filter state estimation for epidemic monitoring in Europe"

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Authors: Atte Aalto, Daniele Proverbio, Giulia Giordano, Alexander Skupin, Jorge Goncalves
Cited by: 0

Abstract

This is a snapshot of the code for reproducing the results of the article published in Communications Medicine 6:398 (2026), doi: 10.1038/s43856-026-01611-9

Fields of Study & Subjects

Data-Driven Disease Surveillance Mathematical and Theoretical Epidemiology and Ecology Models COVID-19 epidemiological studies

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
17 February 2026
Language
EN
Document type
Book