The Infectious Disease Events and Analysis platform is a comprehensive collection of datasets, visualization dashboards, decision support tools, and research sites developed by the Georgetown University Center for Global Health Science and Security. The suite of tools is custom designed and built to support broadscale research efforts to promote health security globally, with a specific focus on the intersection between global health, economics, policy, legal epidemiology, and security. This work has been presented at the United Nations Biological Weapons Convention Meeting of Experts, published in the academic literature, served as the basis for policy recommendations within the United States federal government, used to support and inform state and local preparedness and response efforts, and driven coordination and implementation efforts in global governance.
These tools are built on an integrated data architecture that supports robust analysis between datasets and designed for continual expansion and cross-disciplinary quantitative and qualitative analysis. Drawing from a wide range of fields, this work builds on expertise across the Center and draws from methods in computational modeling, legal and policy research, geospatial analysis, systems analysis and architecture, and data visualization.
Citation and data use
The Georgetown University Center for Global Health Science and Security, working with Talus Analytics, has created and maintains this site for use by researchers, decision-makers and other interested parties. We encourage you to use the data from this site. If you do, though, please use the following citation:
Georgetown University Center for Global Health Science & Security. Infectious Disease Events and Analysis Platform. Washington, DC: Georgetown University. Available at https://ghssidea.org
We ask that you let us know if you publish anything using data from this site, so we can link to it. Contact us at firstname.lastname@example.org or through the link in the navigation menu.
These tools and underlying datasets are available for use under the Creative Commons Attribution By License agreement (https://creativecommons.org/licenses/by/4.0/), with appropriate reference and acknowledgement of the original research team.
In addition to direct downloads from the sites, we are happy to work with your team to provide automated access via API or other data sharing method. Please contact us at email@example.com for more information.