Research Funding
The lab has been continuously funded since 2011, mostly by NIH, with awards spanning HIV and STI prevention, respiratory disease modeling, and the methods and software the projects run on. The CV carries the authoritative listing, including dollar amounts and effort.
Awards active each year
Number of funded projects running in each year, counting every award from 2011 onward. Years after 2026 are shaded lighter: they count only awards already made, so they understate rather than forecast.
NIH 23CDC 4Industry 2Elton John AIDS Foundation 1Gates Foundation 1NSF 1Washington State DOH 1
Current funding
14 awards, ordered by role then by start year.
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Sexually Transmitted Infection Responses and Recommendations Under PrEP (STIRRUP)
PIA study using big data combined with epidemic modeling and economic decision analysis methods to optimize screening and treatment for bacterial STIs within comprehensive HIV PrEP care.
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Over-the-Counter PrEP: Acceptability, Feasibility, and Potential Impact of Access Without a Prescription (OFFSCRIPT)
Site PIA study to evaluate the impact and feasibility of reducing barriers to initiation of HIV PrEP through removing the need for a medication prescription. Site PI for Emory.
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SILOS: Structural Inequities across Layers of Social-Context as Drivers of HIV and Substance Use
Site PIA study of the social and structural factors leading to racial and ethnic differences in HIV transmission and substance use among young MSM and transgender women. Site PI for Emory.
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Leveraging Big Data Science to Focus the HIV Response in Countries with Generalized HIV Epidemics
Site PINovel data integration and transmission modeling to evaluate the impact of key population HIV responses on incidence across generalized epidemic settings in Sub-Saharan Africa.
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Cabotegravir PrEP: Actionable Robust Evidence for Translation into Practice (CABARET)
Site PIEvaluation of real-world use, clinical outcomes, and optimal investment of resources for long-acting injectable PrEP, informing implementation strategies to maximize impact. Site PI for Emory.
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Leveraging Data Synthesis to Identify Optimal and Robust Strategies for HIV Elimination among Substance-Using MSM
Site PINetwork analysis and mathematical modeling to identify and address substance-related drivers of HIV transmission and prevention opportunities among MSM. Site PI for Emory.
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Infectiousness and Social Mixing in Asymptomatic TB as a Driver of Population-Level Transmission
Co-IA prospective cohort study to determine the onset of TB infectiousness along the spectrum of TB disease, and to model the proportion of transmission occurring during early-stage, asymptomatic disease.
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Together Take Me Home: A Direct-to-Consumer HIV Self-Test Distribution Program
Co-IAn intervention program to deliver home-based HIV self-test kits nationally, with evaluation and modeling of population impact at varying scale, targeting, and performance metrics.
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Monthly HIV Pre-Exposure Prophylaxis Preferences among U.S. Men Who Have Sex with Men
Co-IA study evaluating preferences for, and modeling the population-impact of, a monthly HIV PrEP formulation within the current PrEP daily oral and injectable formulation landscape.
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AIDSvu HIV Prevention and Treatment Modeling for National HIV Policy Decision Support
Co-IA project to develop a national-level sexual transmission compartmental model and web-based dashboard to estimate the impact of HIV funding and policies over the next decade.
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Emory Center for Infectious Disease Modeling & Analytics and Training Hub (CIDMATH)
Co-IA Center grant to facilitate rapid understanding of epidemiological situations to guide public health decision-making.
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LITE Cohort to Identify Determinants of Viral Suppression in MSM and Transfeminine Individuals Living with HIV
Co-IA mixed-methods web-based cohort study investigating the drivers of HIV viral non-suppression among key populations in the U.S. and identifying novel approaches to VL monitoring and treatment using modeling.
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Integrating the Visualization and Use of Stigma Data to Maximize the Impact of the Ending the HIV Epidemic Initiative
Co-IA study combining data visualization, implementation research, and epidemic modeling methods to understand the impact of stigma mitigation on EHE pillars and local HIV incidence.
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Investigation of COVID-19 Disease Parameters for Transmission Models in Low-Resource Settings
Co-IAn empirical mixed-methods study to identify COVID-19-specific parameters for low-income settings to be implemented in mathematical models for prevention and pandemic response.
Completed funding
19 awards. Project descriptions are shown for current funding only; the CV carries the full record.
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Impact of Improved Employment on HIV, Family Planning, and Mental Health among Adolescents and Young Adults in Nigeria
PI -
Modeling the Impact of Behavioral Feedback on the Transmission of Acute Infectious Diseases (MPI)
PI -
EpiModel 2.0: Integrated Network Models for HIV/STI Prevention Science
PI -
Modeling Antiretroviral-Based Prevention among Men Who Have Sex with Men in the US
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Local Models for Comprehensive HIV Prevention Planning
PI -
Expedited Partner Therapy and the HIV Prevention Cascade Among MSM in Peru
Site PI -
Washington State HIV Prevention Models
Site PI -
Modeling the Evolutionary and Public Health Impact of HIV Adaptation in Response to Vaccination
Site PI -
Surveillance via Wastewater Monitoring and Self-Collection of COVID-19 Samples in Correctional Settings
Co-I -
GlobalMix: Comprehensive Profiling of Social Mixing Patterns in Resource Poor Countries
Co-I -
CorporateMix: Comprehensive Profiling of Social Mixing Patterns in Workplace Settings
Co-I -
CONTEXT: The Role of Casual Contact and Migration in XDR Tuberculosis Transmission
Co-I -
Making it Last: An RCT of a Home Care System to Promote Persistence in PrEP Care
Co-I -
Healthmindr: Theoretically Based Mobile App to Increase PrEP Uptake among Men Who Have Sex with Men
Co-I -
ePrEP: An RCT of an Electronic HIV PrEP Care System among Rural Men Who Have Sex with Men
Co-I -
CePIM: Center for Prevention Implementation Methodology
Co-I -
NEEMA: Enhancing Models of HIV, Viral Hepatitis, STIs, and Tuberculosis to Inform and Improve Public Health
Co-I -
Statistical Methods for Network Epidemiology
Co-I -
Peer-Driven Intervention to Seek, Test & Treat for HIV
Co-I