Exploring Arts-Based Research
to
COVID-19 Demographic and Epidemiologic Research
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Please look here for a list of potential COVID-19 Collaborators by Area of Expertise.
Keith Burghardt
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.
Zhanghua Chen
The impact of air pollution exposure on COVID-19 severity and mortality.
Yao-Yi Chiang
Yijun Lin
Looking at how various COVID-19 related policies and major events affect air quality in micro neighborhoods in Los Angeles.
David Conti
Abigail Horn
Wendy Cozen
Modeling the impact of COVID-19: cases, bed capacity, ventilators, mortality based on risk factors. Learn more here.
Kayla de la Haye
RAPID: Tracking COVID-19 Related Impacts on the Food System and Food Access in Los Angeles County.
Yolanda Gil
Daniel Garijo
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.
Frank Gilliland
Jennifer Unger
Howard Hu
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.
Frank Gilliland
Studying COVID-19 infection and pandemic impacts on the individual and family level in two existing cohorts.
Frank Gilliland
COVID-19 Impacts on Birth Weight and Children’s Growth Trajectories.
Christopher Haiman
Impact of the COVID-19 pandemic among prostate cancer patients
Randolph Hall
Integrated Modeling of Healthcare Capacity and Patient Needs to Intervene Against Human Transmitted Viral Disease. Learn more here.
John Heidemann
Measuring the Internet During COVID-19 to Evaluate Quarantine
Arie Kapteyn
Jill Darling
Kyla Thomas
Daniel Bennett
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.
Arie Kapteyn
COVID-19: US Data Collection for Household Response and Impact Monitoring.
Michele Kipke
Studying COVID-19 infection, symptoms, severity, and co-morbidity in Latino and African American young adults.
Bhaskar Krishnamachari
Gemini – A digital twin for data-driven modeling, policy planning and decision making at the University of Southern California.
Bhaskar Krishnamachari
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
Sarah Axeen
Sophie Terp
Elizabeth Burner
Daniel Dworkis
Sanjay Arora
Michael Menchine
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.
Trevor Lane
Bruce Elliot
Jason Solema
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.
Kristina Lerman
Yigal Arens
Emilio Ferrara
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.
Hayoun Lee
CorvGenSurv: all-in-one genomic contact tracking surveillance of ongoing US COVID-19 outbreak
Hayoun Lee
Discovery of prognostic combinatorial immune biomarkers that predict acute respiratory distress syndrome in COVID-19 patients
May M. Lee
Ernesto Casillas Jr.
Patrick Chan
Joon Choi
Weihuang Vivian Ning
Gloria Wu
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.
Yan Liu
RAPID: A Novel Framework of Knowledge-informed Stochastic Neural Networks for Coronavirus Transmission Modeling and Mitigation
Rob McConnell
Studying COVID-19 in the Children’s Health Study.
Andrew Marx
Parveen Parmar
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.
Najm Meshkati
Systems-Oriented Root-Cause Analysis of the Origins of COVID-19. Learn more here.
Bill Padula
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.
Vasu Punj
Proteogenomic based prognostic biomarkers for severe SARS-CoV-2 infection
Anne Peters
Emergency Funding to Support Underserved T1D Populations Impacted by the COVID-19 Pandemic for the U of Southern California – Community Diabetes Unit.
Viktor K. Prasanna
Ajitesh Srivastava
Using infection models at the level of cities and counties to predict the speed and severity COVID-19 and allocate medical resources appropriately.
Viktor K. Prasanna
RAPID: ReCOVER: Accurate Predictions and Resource Allocation for COVID-19 Epidemic Response.
Konstantinos Psounis
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)
Cyrus Shahabi
RAPID: Collaborative Research: REACT: Real-time Contact Tracing and Risk Monitoring via Privacy-enhanced Mobile Tracking.
Sze-chuan Suen
Maged Dessouky
Neeraj Sood
Identifying Priority Testing Locations in Southern California for COVID-19 With Transmission Dynamics and Network Data
Gerard J. Tellis
Ashish Sood
Nitish Sood
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.
Noah Wald-Dickler
The COCOA Project: A longitudinal cohort of adult SARS-CoV-2 hospital survivors