Predicting and Interpreting Bipartite Temporal Networks

Integrated infection and crowd behavior model for infection risk assessment onboard large passenger vessels: Investigating the effect of ship layout design, operational and behavioral measures on contagious disease spread

Impact of the COVID-19 pandemic on the in-hospital diagnostic pathway of breast and colorectal cancer in the Netherlands: A population-based study

Monitoring the impact of COVID-19 on the travel behavior of train travelers in the Netherlands

Labour shortage in the Netherlands after 2021

Forecasting of SARS-Cov-2 Infections within Dutch Municipalities using Spatio-Temporal Graph Neural Networks

Cardiovascular magnetic resonance for evaluation of cardiac involvement in COVID-19: recommendations by the Society for Cardiovascular Magnetic Resonance

The Impact of Covid-19 Pandemic on Value Migration Processes in the Real Estate Sector

A Categorization of Resilience: A Scoping Review

The job of public transport, ride-hailing and delivery drivers: Conditions during the COVID-19 pandemic and implications for a post-pandemic future

Normalisation of SARS-CoV-2 concentrations in wastewater: The use of flow, electrical conductivity and crAssphage

Myth and Reality in the Great Inflation Debate: Supply Shocks and Wealth Effects in a Multipolar World Economy

Revealing latent trajectories of (intended) train travel during and after COVID-19

Augmenting Ridership Data with Social Media Data to Analyse the Long-term Effect of COVID-19 on Public Transport

Using pedestrian modelling to inform virus transmission mitigation policies: A novel activity scheduling model to enable virus transmission risk assessment in a restaurant environment

Social connectedness at the playground before and after COVID-19 school closure

COVID-19 Impact on the Oil and Gas Industry NO₂ Emissions: A Case Study of the Permian Basin

Promising solutions for railway operations to cope with future challenges — Tackling COVID and beyond

Public transport crowding valuation in a post-pandemic era

Machine Learning for Detecting Virus Infection Hotspots Via Wastewater-Based Epidemiology: The Case of SARS-CoV-2 RNA