Working from home and subjective wellbeing during the COVID-19 pandemic: The role of pre-COVID-19 commuting distance and mode choices

Working from home (WFH) was prevalent among previous daily commuters during the COVID-19 pandemic and is expected to continue in post-COVID-19 society. By using WFH enforced by the UK government during the pandemic as a real-world experiment, our study investigates the relationship between switching from commuting to WFH, and subjective...

Experiences from the international frontlines: An exploration of the perceptions of airport employees during the COVID-19 pandemic

The aviation industry is one of the sectors that has been heavily impacted by the pandemic. While the major body of literature has focused on passenger experience and behaviour, this study focuses on airport employees instead—their experiences, perceptions, and preferences following the emergence of COVID-19. More than 1000 participants from...

Applicability of several rooted phylogenetic network algorithms for representing the evolutionary history of SARS-CoV-2

Background: Rooted phylogenetic networks are used to display complex evolutionary history involving so-called reticulation events, such as genetic recombination. Various methods have been developed to construct such networks, using for example a multiple sequence alignment or multiple phylogenetic trees as input data. Coronaviruses are known...

Network-inference-based prediction of the COVID-19 epidemic outbreak in the Chinese province Hubei

At the moment of writing, the future evolution of the COVID-19 epidemic is unclear. Predictions of the further course of the epidemic are decisive to deploy targeted disease control measures. We consider a network-based model to describe the COVID-19 epidemic in the Hubei province. The network is composed of the cities in Hubei and their...

Network-based prediction of COVID-19 epidemic spreading in Italy

Initially emerged in the Chinese city Wuhan and subsequently spread almost worldwide causing a pandemic, the SARS-CoV-2 virus follows reasonably well the Susceptible–Infectious–Recovered (SIR) epidemic model on contact networks in the Chinese case. In this paper, we investigate the prediction accuracy of the SIR model on networks also for...