Summary of talk:
Geographic information systems (GIS) are computing environments that allow researchers to combine and analyze different data sources that share geography. This is essential to understanding environmental and demographic factors that contribute to disease risk and public health. In public health, researchers and policy-makers often need to reconcile diverse multiple data sources, including clinical, surveillance, environmental, and demographic data.
Goal: In this seminar I will review GIS technology, discuss how data is used in a GIS computing environment, and provide examples of research studies that take advantage of GIS and related spatial analytical tools. I will introduce GIS software; discuss major types of GIS data; describe key geospatial analysis operations; and cover select examples of spatial statistical analysis. I will present several examples of research studies that make use of spatial data, and illustrate methods such as spatial regression and cluster analysis. Finally, I will discuss the aesthetics of public health maps, and how to make effective data visualization choices to best communicate scientific data.
Dr. Lantos is Associate Professor of Pediatric Infectious Diseases, General Internal Medicine, and Global Health at Duke University. Dr. Lantos uses geographic information systems and spatial statistical models to study spatial patterns of infectious diseases. His areas of academic interest and clinical expertise include vector-borne infectious diseases (diseases transmitted by arthropods, such as ticks and mosquitos), geographic and tropical medicine, and global health. He is currently conducting studies of congenital cytomegalovirus, Lyme disease, influenza, dengue fever, and streptococcal pharyngitis. Dr. Lantos received his Medical Degree and did his residency in Med-Peds at the University of Connecticut, completed a fellowship in Pediatric Infectious Diseases at Harvard Medical School, and received a Master’s Degree in Geographic Information Systems from Johns Hopkins University.
Food and drink will be provided on a first come, first served basis.