computational epidemiology

Enhancing global preparedness during an ongoing pandemic from partial and noisy data

P Klamser, V d'Andrea, F Di Lauro, A Zachariae, S Bontorin, A di Nardo, M Hall, B F Maier, L Ferretti, D Brockmann, M De Domenico

https://www.medrxiv.org/content/10.1101/2022.08.19.22278981v1

Enhancing global preparedness during an ongoing pandemic from partial and noisy data

Preprint out: Enhancing global preparedness during an ongoing pandemic from partial and noisy data

P Klamser, V d'Andrea, F Di Lauro, A Zachariae, S Bontorin, A di Nardo, M Hall, B F Maier, L Ferretti, D Brockmann, M De Domenico

Preprint out: Enhancing global preparedness during an ongoing pandemic from partial and noisy data

Digitale Epidemiologie

Bundesgesundheitsbl 63, 166–175