10 citations · 12 across the 4 of their papers we have counts for
6 papers
Estimating excess mortality in high-income countries during the COVID-19 pandemic
Giacomo De Nicola, Göran Kauermann
Quantifying the number of deaths caused by the COVID-19 crisis has been an ongoing challenge for scientists, and no golden standard to do so has yet been established. We propose a…
Dependence matters: Statistical models to identify the drivers of tie formation in economic networks
Giacomo De Nicola, Cornelius Fritz, Marius Mehrl +1
Networks are ubiquitous in economic research on organizations, trade, and many other areas. However, while economic theory extensively considers networks, no general framework for…
COVID-19 and social media: Beyond polarization
Giacomo De Nicola, Victor H. Tuekam Mambou, Göran Kauermann
The COVID-19 pandemic brought upon a massive wave of disinformation, exacerbating polarization in the increasingly divided landscape of online discourse. In this context, popular s…
Statistical modelling of COVID-19 data: Putting Generalised Additive Models to work
Cornelius Fritz, Giacomo De Nicola, Martje Rave +5
Over the course of the COVID-19 pandemic, Generalised Additive Models (GAMs) have been successfully employed on numerous occasions to obtain vital data-driven insights. In this pap…
Regional now- and forecasting for data reported with delay: Towards surveillance of COVID-19 infections
Giacomo De Nicola, Marc Schneble, Göran Kauermann +1
Governments around the world continue to act to contain and mitigate the spread of COVID-19. The rapidly evolving situation compels officials and executives to continuously adapt p…
Nowcasting fatal COVID-19 infections on a regional level in Germany
Marc Schneble, Giacomo De Nicola, Göran Kauermann +1
We analyse the temporal and regional structure in mortality rates related to COVID-19 infections. We relate the fatality date of each deceased patient to the corresponding day of r…