Ausgabe 3/2023
Special Issue: AI and Data Science in COVID-19
Inhalt (7 Artikel)
Regular Paper
A spatiotemporal machine learning approach to forecasting COVID-19 incidence at the county level in the USA
Benjamin Lucas, Behzad Vahedi, Morteza Karimzadeh
Open Access
Regular Paper
Explainability of the COVID-19 epidemiological model with nonnegative tensor factorization
Thirunavukarasu Balasubramaniam, David J. Warne, Richi Nayak, Kerrie Mengersen
Regular Paper
Eigenvalue analysis of SARS-CoV-2 viral load data: illustration for eight COVID-19 patients
Till D. Frank
Open Access
Regular Paper
Agenda-Setting for COVID-19: A Study of Large-Scale Economic News Coverage Using Natural Language Processing
Guang Lu, Martin Businger, Christian Dollfus, Thomas Wozniak, Matthes Fleck, Timo Heroth, Irina Lock, Janna Lipenkova
Regular Paper
Data-driven analytics of COVID-19 ‘infodemic’
Minyu Wan, Qi Su, Rong Xiang, Chu-Ren Huang
Open Access
Original Paper
COVID-19 and 5G conspiracy theories: long term observation of a digital wildfire
Johannes Langguth, Petra Filkuková, Stefan Brenner, Daniel Thilo Schroeder, Konstantin Pogorelov