2

Publications

COVID-19 lockdown induces disease-mitigating structural changes in mobility networks

In the wake of the COVID-19 pandemic many countries implemented containment measures toreduce disease transmission. Studies using digital data sources show that the mobility of individualswas effectively reduced in multiple countries. However, it …

Coronavirus-Pandemie--Die Krise nachhaltig überwinden

Die Ausbreitung des SARS-CoV-2-Virus hat inzwischen auf alle Bereiche unserer Gesellschaft massive Auswirkungen. Angesichts der daraus resultierenden enormen Unsicherheit kommt der Wissenschaft eine große Verantwortung zu. Sie muss auf der Basis …

German COVID-19 Snapshot Monitoring (COSMO)-Welle 9 (28.04.2020)

Mobility increases as risk perception decreases, perceptions of a second wave, exit strategies, vaccinationsRisk perception, fears and concerns stabilize at a lower level (compared to mid-March). Acceptance of andcompliance with the measures further …

Effective containment explains subexponential growth in recent confirmed COVID-19 cases in China

The recent outbreak of coronavirus disease 2019 (COVID-19) in mainland China was characterized by a distinctive subexponential increase of confirmed cases during the early phase of the epidemic, contrasting with an initial exponential growth expected …

Comprehensive integrated NGS-based surveillance and contact-network modeling unravels transmission dynamics of vancomycin-resistant enterococci in a high-risk population within a tertiary care hospital

Vancomycin-resistant E. faecium (VRE) are an important cause of nosocomial infections, which are rapidly transmitted in hospitals. To identify possible transmission routes, we applied combined genomics and contact-network modeling to retrospectively …

Digitale Epidemiologie

Digital epidemiology is a new and rapidly growing field. The technological revolution we have been witnessing during the last decade, the global rise of the Internet, the emergence of social media and social networks that connect individuals …

Experiencing the risk of overutilising opioids among patients with chronic non-cancer pain in ambulatory care (ERONA): the protocol of an exploratory, randomised controlled trial

Massive parallelization boosts big Bayesian multidimensional scaling

Big Bayes is the computationally intensive co-application of big data and large, expressive Bayesian models for the analysis of complex phenomena in scientific inference and statistical learning. Standing as an example, Bayesian multidimensional …

Social networks predict the life and death of honey bees

In complex societies, individuals9 roles are reflected by interactions with other conspecifics. Honey bees (Apis mellifera) generally change tasks as they age, but developmental trajectories of individuals can vary drastically due to physiological …