In: COVID-19
Johns Hopkins engineers uncover new insights in COVID-19 mortality patterns
- October 15, 2024
- COVID-19Data Analytics
Using a novel, comprehensive methodology, a team led by John C. Malone Assistant Professor of Civil and Systems Engineering Kimia Ghobadi analyzed mortality-influencing factors to inform future pandemic public health strategies.
AI can now detect COVID-19 in lung ultrasound images
An automated detection tool developed by Johns Hopkins researchers could help ER doctors diagnose patients quickly and accurately.
COVID-19 transmission high in Latino households of Baltimore, study finds
- October 26, 2021
- COVID-19Data Analytics
Latinos in Baltimore have high rates of household transmission of COVID-19, according to a new Johns Hopkins University study. The study...
Responding to an urgent need
- September 2, 2021
- Center NewsCOVID-19Data AnalyticsRobotics, Augmented Reality, and DevicesSystems Modeling and Optimization
When the COVID-19 pandemic began last year, the Malone Center for Engineering in Healthcare's faculty were eager—and more than able—to help.
‘Anytown, USA’ tool simulates COVID-19 spread in small towns
- August 13, 2021
- COVID-19Data Analytics
Interactive online platform allows users to simulate how different public health measures might affect COVID-19 infection outcomes in a typical Midwestern town of about 6,000 people.
Ready for duty: Healthcare robots get good prognosis for next pandemic
- April 1, 2021
- COVID-19Robotics, Augmented Reality, and Devices
Robots helped hospitals confront the coronavirus pandemic. What lessons are engineers taking with them as they think about the next generation of healthcare robots?