COVID-19 Research

Coronaviruses are a family of RNA viruses that typically cause mild respiratory disease in humans. A novel coronavirus (COVID-19) was identified in Wuhan, China in December 2019.

In light of COVID-19, Malone professors have recognized a pressing need to develop open-source engineering solutions to address many aspects of the crisis.

Our experts are closely following new developments in the COVID-19 outbreak. This page will be routinely updated as new research opportunities emerge.

Related Projects

Automation of Drive-Thru Testing for COVID-19

Improving automated drive-thru COVID-19 testing without exposing medical personnel​.

Contagion Airborne Transmission inequality

A mathematical model to estimate the risk of airborne transmission of COVID-19, inspired by the Drake equation

Deep Learning to Identify COVID-19 in Chest X-rays

A deep learning model to identify signs of COVID-19 in chest X-rays.

Emergency Medicine COVID-19 Modeling and Data Analytics

Data-driven tools and modeling to support Emergency Department (ED) physician disposition decision-making for PUI/COVID patients. 

Face Mask Simulations

Using physics based modeling and simulations of aerodynamics and fluid-structure interaction to characterize the performance of commonly used face masks.


Facilitating Machine Learning Research to Inform Coronavirus Response

A machine readable dataset related to socioeconomic factors that may affect the spread and/or consequences of epidemiological outbreaks, particularly the novel coronavirus (COVID-19).

Imaging and Analytics for COVID-19 Detection, Diagnosis, and Monitoring

Improved detection of COVID-19​ from computerized tomography (CT) scans and chest radiography.

Operational Optimization during COVID-19

Utilizing optimization and data analytics to find the best resources allocation (clinical staff, ventilators, PPE, etc.) among different hospitals.

Patient Hood to Reduce Exposure of Critical Care Personnel

A low-cost patient hood that provides access to COVID-19 patients while reducing the risk of infection for critical care personnel.

Predicting Covid-19 Severity with Clustering Techniques

Detecting clusters of people with similar comorbidities and demographic characteristics that may have similar symptoms of Covid-19, and predicting COVID-19 severity in each cluster.

Social Media for Public Health: COVID-19

How can we use social media data to prevent the spread of COVID-19? Possible applications include the combating of misinformation, supporting messaging from public health organizations, and tracking information about the ongoing COVID-19 pandemic.

Surveilling the Impact of COVID-19 on Mental Health in the General Population

A multidisciplinary project (psychiatry, computer science, and business) to capture data on mental health and economic impacts of the pandemic.

Teleoperated In-ICU Robotics to Reduce Exposure of Critical Care Personnel

A new robotic system to help hospitals preserve protective gear, limit staff exposure to COVID-19, and provide more time for clinical work.

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