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Project

A Statistical Framework for the Spatio-temporal Analysis of Modern Data Types in Epidemiology and Ecology

Modern data collection often yields complex datasets that contain detailed spatio-temporal information of a phenomenon under investigation and necessitate the development of flexible analysis techniques. More specifically, epidemiological and ecological studies increasingly rely on data collection by citizens and/or new technology such as mobile applications, telemetry, imaging, etc. In this project, principled statistical methods will be proposed to analyze modern, large, spatio-temporal datasets in epidemiology and ecology. In two main studies, methods will be developed to (i) assess, protect against, and correct for opportunistic sampling bias in citizen science and to (ii) integrate movement trajectories of individuals in geographical analyses. In addition to research in statistics, this project capitalizes on interdisciplinary collaborations with epidemiologists and ecologists.
Date:5 Dec 2019 →  30 Sep 2021
Keywords:Spatio-temporal Statistics, Epidemiology, Ecology
Disciplines:Statistics, Biostatistics