Elisabeth zu Erbach-Schoenberg

TL;DR: This analysis provides an unprecedented level of information about human movement after a natural disaster, provided within a very short timeframe after the Nepal earthquake occurred, and reveals patterns revealed that are almost impossible to find through other methods.

TL;DR: This framework is an important step towards understanding progressive changes in malaria distribution and the role of subnational transmission dynamics in a policy-relevant way, and future work should account for international parasite movement, utilize real time surveillance data, and relax the steady state assumption required by the presented model.

TL;DR: The effects of travel restrictions on mobility can be large, targeted and measurable in near real-time, and should play a central role in guiding and monitoring interventions for epidemic containment with appropriate anonymization protocols.

TL;DR: Mobile phone data is used to quantify seasonal travel and directional asymmetries in Kenya, Namibia, and Pakistan, across a spectrum from rural nomadic populations to highly urbanized communities, and model how the geographic spread of several acute pathogens could depend on country-wide connectivity fluctuations through the year.

TL;DR: This work uses nationally representative household surveys and their cluster locations to predict the proportion of the under-five population in 1 × 1 km using a Bayesian hierarchical spatio-temporal model and shows that land cover, travel time to major settlements, night-time lights and vegetation index were good predictors and that accounting for fine-scale variation can result in significant differences in health metrics.