COVID-19 Demographic and Epidemiologic Research
Collecting real-time data on migration patterns and developing migration-based interventions to reduce COVID-19 spread. Also data on economic impact of COVID-19 on businesses and how it correlates with growth of the disease.
The impact of air pollution exposure on COVID-19 severity and mortality.
Looking at how various COVID-19 related policies and major events affect air quality in micro neighborhoods in Los Angeles.
Modeling the impact of COVID-19: cases, bed capacity, ventilators, mortality based on risk factors. Learn more here.
RAPID: Tracking COVID-19 Related Impacts on the Food System and Food Access in Los Angeles County.
Using AI to describe and integrate models and data in many domains, in the case of COVID-19 we work with epidemiology models that simulate disease spread and have diverse applicability and data needs.
The COVID-19 Pandemic Research Center promotes translational research using multidisciplinary approaches to understand and mitigate the impact of COVID-19 on the health of populations in Los Angeles, California and beyond, especially those experiencing health inequities. Learn more here.
Studying COVID-19 infection and pandemic impacts on the individual and family level in two existing cohorts.
COVID-19 Impacts on Birth Weight and Children’s Growth Trajectories.
Impact of the COVID-19 pandemic among prostate cancer patients
Integrated Modeling of Healthcare Capacity and Patient Needs to Intervene Against Human Transmitted Viral Disease. Learn more here.
Measuring the Internet During COVID-19 to Evaluate Quarantine
Understanding America Study Health Tracking Poll on COVID-19. Baseline survey was fielded in March and weekly or bi weekly surveys will follow respondents over time. Learn more here.
COVID-19: US Data Collection for Household Response and Impact Monitoring.
Studying COVID-19 infection, symptoms, severity, and co-morbidity in Latino and African American young adults.
Gemini – A digital twin for data-driven modeling, policy planning and decision making at the University of Southern California.
Developing and evaluating algorithms and applications for privacy-sensitive mobile Bluetooth-based digital contact tracing, monitoring, predictive analytics, and policy decision-making efforts.
Chun Nok Jonathan Lam
Characterize the effect of COVID-19 and social distancing measures on urban public emergency department visits, patient disposition, and diagnosis-mix of visits as compared to prior years.
A study of the economic impact of COVID-19 on tribal and rural communities. We intend to generate research findings that improve indigenous economic resilience, workforce development, and indigenous methodologies; specifically to empower tribal and historically underrepresented communities.
Following COVID-19 cases around Los Angeles County (see visualization here) and collecting near real-time data from Twitter, Google Maps API and other sources to forecast new cases and the economic fallout of the pandemic. Shared with research community.
CorvGenSurv: all-in-one genomic contact tracking surveillance of ongoing US COVID-19 outbreak
Discovery of prognostic combinatorial immune biomarkers that predict acute respiratory distress syndrome in COVID-19 patients
May M. Lee
Ernesto Casillas Jr.
Weihuang Vivian Ning
Determining baseline characteristics of COVID-19 patients in Los Angeles County + USC Medical Center and at the Keck University Hospital, assess characteristics, inform placement, assess history of exposure to medications.
RAPID: A Novel Framework of Knowledge-informed Stochastic Neural Networks for Coronavirus Transmission Modeling and Mitigation
Studying COVID-19 in the Children’s Health Study.
Conducting research linking mobility metrics derived from worldwide daily satellite imagery with the rate of spread of COVID-19 to predict the spread of COVID and hotspots of future pandemics worldwide, as a function of their mobility.
Studying the need to conduct testing for COVID-19 to understand asymptomatic infection, the value of a treatment of vaccine for COVID-19, and association between national concentrations of registered nurses and mortality of COVID-19.
Proteogenomic based prognostic biomarkers for severe SARS-CoV-2 infection
Emergency Funding to Support Underserved T1D Populations Impacted by the COVID-19 Pandemic for the U of Southern California – Community Diabetes Unit.
Using infection models at the level of cities and counties to predict the speed and severity COVID-19 and allocate medical resources appropriately.
RAPID: ReCOVER: Accurate Predictions and Resource Allocation for COVID-19 Epidemic Response.
Collecting privacy-sensitive information (important for epidemiologists and governments) via privacy-preserving decentralized contact tracing systems (like the recently announced Google/Apple API that uses mobile devices)
RAPID: Collaborative Research: REACT: Real-time Contact Tracing and Risk Monitoring via Privacy-enhanced Mobile Tracking.
Identifying Priority Testing Locations in Southern California for COVID-19 With Transmission Dynamics and Network Data
Gerard J. Tellis
Working on a study of COVID-19 spread in 36 countries and 50 US states which suggests that aggressive lockdowns need to last at least 7 weeks to gain containment to help answer critical questions. Learn more on SSRN and here.
The COCOA Project: A longitudinal cohort of adult SARS-CoV-2 hospital survivors