Eric Delmelle will be presenting “Geocomputational Approaches for the Visualization and Detection of Outbreaks of Vector-Borne Diseases in Urban Environments” at the next GeoBytes webinar on Friday, January 29th at 12:00 pm EST. The webinar is FREE for all ASPRS and CaGIS members and $25 for non-members.
Please see the CaGIS GeoBytes page for more information on registering.
Infectious diseases have complex transmission cycles, and effective public health responses require the ability to monitor outbreaks in a timely manner. Space-time statistics facilitate the discovery of disease dynamics including rate of spread and seasonal cyclic patterns, but are computationally demanding, especially for datasets of increasing size, diversity and availability. In this presentation, I will discuss high-performance computation techniques for the rapid detection of space-time patterns of vector-borne diseases in urban areas, with an application to Cali, Colombia. Three-dimensional visualization techniques will be presented to gain insight in the shape of these space-time patterns.
Eric M. Delmelle, is an Associate Professor of Geography at the University of North Carolina at Charlotte with experience in the development of new, robust geocomputational approaches to deepen the understanding of the dynamics of infectious and non-infectious diseases in space, time and at different scales. His current research includes (1) modeling the co-occurrence of vector-borne diseases (Dengue, Zika, Chikungunya) in developing countries; (2) evaluating the impact of residential mobility on health care access in Florida and (3) space-time variation in the concentration of contamination from private wells in rural North Carolina. His research is funded by the Centers for Disease Control and Prevention, and the North Carolina Water Resources Research Institute.