Catherine Linard

TL;DR: This study demonstrates how data collected by mobile phone network operators can cost-effectively provide accurate and detailed maps of population distribution over national scales and any time period while guaranteeing phone users’ privacy.

TL;DR: This work presents a new semi-automated dasymetric modeling approach that incorporates detailed census and ancillary data in a flexible, “Random Forest” estimation technique, and outlines how this algorithm will be extended to provide freely-available gridded population data sets for Africa, Asia and Latin America.

TL;DR: It is shown that human movement patterns explain the spread of both Aedes aegypti and Aedes albopictus in Europe and the United States following their introduction and predicted the future distributions of both species in response to accelerating urbanization, connectivity and climate change.

TL;DR: Modern population count data were combined with detailed satellite-derived settlement extents to map population distributions across Africa at a finer spatial resolution than ever before, highlighting large inequities in access, the isolation of many rural populations and the challenges that exist between countries and regions in providing access to services.

TL;DR: A static view of the "pathogenecity" of landscapes overlays maps of the spatial distribution of vectors and their habitats, animal hosts carrying specific pathogens and their habitat, and susceptible human hosts and their land use is preferred.