Authors: Geoffrey Fairchild*, Los Alamos National Laboratory
Topics: Medical and Health Geography
Keywords: disease surveillance, smart city, data, epidemiology
Session Type: Paper
Presentation File: No File Uploaded
As cities continue to be outfitted with sensors that collect and analyze data in order to help improve daily operations, disease surveillance systems tend to lag behind other efforts like those focused on improving energy usage or public transportation. Such a system could help inform localized disease burden measures, enhance the resolution and quality of disease spread forecasts, identify areas in special need of public health intervention, and aid in resource allocation. In this talk, I first describe the current state of disease surveillance systems and then describe how a "smart" disease surveillance system might be designed, including in areas where vector-borne (e.g., mosquitoes, rodents) diseases are especially problematic. Finally, I discuss how the data from these systems, in addition to data from other systems (e.g., weather, imagery), could be used, both automatically and in the hands of an analyst, to improve healthcare system operations.