2.3k citations · 6.5k across the 26 of their papers we have counts for
28 papers
Poverty Mapping: Data, Models and Applications
Suoyi Tan, Mengning Wang, Yixiu Kong +5
Poverty mapping is increasingly important for monitoring Sustainable Development Goal 1 (SDG 1) of the United Nations 2030 Agenda, which aims to end poverty in all its forms everyw…
Biases in human mobility data impact epidemic modeling
Frank Schlosser, Vedran Sekara, Dirk Brockmann +1
Large-scale human mobility data is a key resource in data-driven policy making and across many scientific fields. Most recently, mobility data was extensively used during the COVID…
Potential benefits of delaying the second mRNA COVID-19 vaccine dose
Benjamin F. Maier, Angelique Burdinski, Annika H. Rose +9
Vaccination against COVID-19 with the recently approved mRNA vaccines BNT162b2 (BioNTech/Pfizer) and mRNA-1273 (Moderna) is currently underway in a large number of countries. Howev…
COVID-19 lockdown induces disease-mitigating structural changes in mobility networks
Frank Schlosser, Benjamin F. Maier, Olivia Jack +3
In the wake of the COVID-19 pandemic many countries implemented containment measures to reduce disease transmission. Studies using digital data sources show that the mobility of in…
Effective containment explains sub-exponential growth in confirmed cases of recent COVID-19 outbreak in Mainland China
Benjamin F. Maier, Dirk Brockmann
The recent outbreak of COVID-19 in Mainland China is characterized by a distinctive algebraic, sub-exponential increase of confirmed cases during the early phase of the epidemic, c…
Massive parallelization boosts big Bayesian multidimensional scaling
Andrew Holbrook, Philippe Lemey, Guy Baele +4
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 statis…