COVID Control – A Johns Hopkins University Study is a new surveillance tool for COVID-19 based on self-reported body temperatures and, optionally, other symptoms, from users around the country using a user-friendly app. By using spatial science analytics applied to these data we will identify anomalous increases in body temperatures and generate real-time, pre-clinical, risk estimates of potential COVID-19 outbreaks.
This predictive tool will allow healthcare systems and government agencies to pre-empt outbreaks and better deploy resources to mitigate consequences. Acquiring data directly from individuals rather than hospitals/laboratories greatly reduces the delay in identifying new outbreaks of the disease and expands basic monitoring of our health.
This project is led by Dr. Frank C. Curriero, Professor in the Department of Epidemiology and Director of Spatial Science for Public Health Center at Bloomberg School of Public Health.
Associate Professor of Anesthesiology and Critical Care Medicine and Neurology and Associate Director of the Precision Medicine Center of Excellence for Neurocritical Care at the School of Medicine.
This project has counted on the work of other individual including user experince designers Andrea Luxemberg
(Johns Hopkins Medicine Technology Innovation Center) and Christian Tedjasukmana
(University of Vermont Medical Center), and the app developer Jeff Trotz (Capitol Technology University).
We are also working with ITC Infotech’s Digital Experience (DX) team to further enhance the design, interface and UX of
the COVID Control App.