Gregg Gonsalves, PhD
Associate Professor of Epidemiology (Microbial Diseases)DownloadHi-Res Photo
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Additional Titles
Associate (Adjunct) Professor of Law, Yale Law School
Affiliated Faculty, Program in Addiction Medicine
Co-Director, Global Health Justice Partnership
Affiliated Faculty, Yale Institute for Global Health
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About
Titles
Associate Professor of Epidemiology (Microbial Diseases)
Associate (Adjunct) Professor of Law, Yale Law School; Affiliated Faculty, Program in Addiction Medicine; Co-Director, Global Health Justice Partnership; Affiliated Faculty, Yale Institute for Global Health
Biography
Gregg Gonsalves is an expert in policy modeling on infectious disease and substance use, as well as the intersection of public policy and health equity. His research focuses on the use of quantitative models for improving the response to epidemic diseases. For more than 30 years, he worked on HIV/AIDS and other global health issues with several organizations, including the AIDS Coalition to Unleash Power, the Treatment Action Group, Gay Men’s Health Crisis, and the AIDS and Rights Alliance for Southern Africa. He is a 2011 graduate of Yale College and received his PhD from Yale Graduate School of Arts and Sciences/School of Public Health in 2017. He is currently the public health correspondent for The Nation. He is a 2018 MacArthur Fellow.
Last Updated on November 22, 2022.
Appointments
Epidemiology of Microbial Diseases
Associate Professor on TermPrimarySchool of Law
Associate Professor AdjunctSecondary
Other Departments & Organizations
- Epidemiology of Microbial Diseases
- Public Health Modeling
- School of Law
- Yale Institute for Global Health
- Yale School of Public Health
- Yale-UPR Integrated HIV Basic and Clinical Sciences Initiative
Education & Training
- PhD
- Yale University, Public Health (2017)
- BS
- Yale College, Ecology and Evolutionary Biology (2011)
Research
Overview
Medical Research Interests
Causality; Computer Simulation; Decision Making; Drug Approval; Drug Users; Hepatitis C; HIV; Operations Research; Political Systems; Prisoners; Public Policy; Social Determinants of Health; Social Justice; Social Medicine; Tuberculosis; United States Food and Drug Administration
Public Health Interests
Community Health; Global Health; Health Care Management; COVID-19; Health Equity, Disparities, Social Determinants and Justice; Health Policy; HIV/AIDS; Infectious Diseases; Modeling
ORCID
0000-0002-5789-9841
Research at a Glance
Yale Co-Authors
Frequent collaborators of Gregg Gonsalves's published research.
Publications Timeline
A big-picture view of Gregg Gonsalves's research output by year.
Research Interests
Research topics Gregg Gonsalves is interested in exploring.
A. David Paltiel, MBA, PhD
Alexandra Savinkina, MSPH
Haidong Lu, PhD
Thomas Thornhill IV
Joseph Ross, MD, MHS
Forrest W. Crawford, PhD
105Publications
2,053Citations
Public Policy
United States Food and Drug Administration
Computer Simulation
Decision Making
Hepatitis C
Prisoners
Publications
Featured Publications
Estimating deaths averted and cost per life saved by scaling up mRNA COVID-19 vaccination in low-income and lower-middle-income countries in the COVID-19 Omicron variant era: a modelling study
Savinkina A, Bilinski A, Fitzpatrick M, Paltiel AD, Rizvi Z, Salomon J, Thornhill T, Gonsalves G. Estimating deaths averted and cost per life saved by scaling up mRNA COVID-19 vaccination in low-income and lower-middle-income countries in the COVID-19 Omicron variant era: a modelling study. BMJ Open 2022, 12: e061752. PMID: 36100306, PMCID: PMC9471205, DOI: 10.1136/bmjopen-2022-061752.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsLow-income countriesIncome countriesDeath avertedHigh-income nationsStatistical lifeAvertable deathsIncome nationsCOVID-19 deathsReasonable investmentHigh costKey inputCountriesParameter estimatesAvertedCostSensitivity analysisUniversal vaccinationGlobal vaccinationMRNA COVID-19 vaccinationNationsInvestmentPrimary vaccine seriesLow vaccine effectivenessCOVID-19 vaccinationPublic dataSurveillance for endemic infectious disease outbreaks: Adaptive sampling using profile likelihood estimation
Fairley M, Rao IJ, Brandeau ML, Qian GL, Gonsalves GS. Surveillance for endemic infectious disease outbreaks: Adaptive sampling using profile likelihood estimation. Statistics In Medicine 2022, 41: 3336-3348. PMID: 35527474, PMCID: PMC9283243, DOI: 10.1002/sim.9420.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and Concepts
2025
Building a resistance to US assaults on public health
Yamin A, Lengle E, Gonsalves G. Building a resistance to US assaults on public health. The Lancet 2025, 406: 108-110. PMID: 40614741, DOI: 10.1016/s0140-6736(25)01320-0.Peer-Reviewed Original ResearchCitationsAltmetricStill we rise: research on bias and discrimination will endure
Gonsalves G. Still we rise: research on bias and discrimination will endure. International Journal For Equity In Health 2025, 24: 167. PMID: 40495157, PMCID: PMC12153171, DOI: 10.1186/s12939-025-02537-9.Peer-Reviewed Original ResearchMeSH Keywords and ConceptsConceptsMeasures of implicitCommunity health centersVaping behaviorUS National Institutes of HealthNational Institutes of HealthExplicit measuresMeta-regression approachCurrent smokingHealth centersInstitutes of HealthAssess smokingCurrent US administrationConduct of researchUS National InstitutesDonald J. TrumpPresident Donald J. TrumpLogistic regressionResearch fundersCenter membersUS administrationDominant groupPolitical interferenceTrump administrationIdeological reasonsComparing targetsReflections on Advocacy as a Foundation of Global Health Law
Gonsalves G. Reflections on Advocacy as a Foundation of Global Health Law. The Journal Of Law, Medicine & Ethics 2025, 53: 59-59. DOI: 10.1017/jme.2025.9.Peer-Reviewed Original ResearchMpox vaccination strategies in DR Congo – Author's reply
Gonsalves G. Mpox vaccination strategies in DR Congo – Author's reply. The Lancet Global Health 2025, 13: e418. PMID: 40021299, DOI: 10.1016/s2214-109x(25)00004-x.Peer-Reviewed Original ResearchConcepts
2024
Four targets: an enhanced framework for guiding causal inference from observational data
Lu H, Li F, Lesko C, Fink D, Rudolph K, Harhay M, Rentsch C, Fiellin D, Gonsalves G. Four targets: an enhanced framework for guiding causal inference from observational data. International Journal Of Epidemiology 2024, 54: dyaf003. PMID: 39868475, PMCID: PMC11769716, DOI: 10.1093/ije/dyaf003.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsTrends in Opioid Use Disorder in the Veterans Health Administration, 2005-2022
Gorfinkel L, Malte C, Fink D, Mannes Z, Wall M, Olfson M, Livne O, Keyhani S, Keyes K, Martins S, Cerdá M, Gutkind S, Maynard C, Saxon A, Simpson T, Gonsalves G, Lu H, McDowell Y, Hasin D. Trends in Opioid Use Disorder in the Veterans Health Administration, 2005-2022. JAMA Network Open 2024, 7: e2451821. PMID: 39705031, PMCID: PMC11662256, DOI: 10.1001/jamanetworkopen.2024.51821.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsVeterans Health AdministrationOpioid use disorder diagnosisNon-Hispanic white patientsOpioid use disorderPrevalence of opioid use disorderCross-sectional studyHealth AdministrationVHA Corporate Data WarehouseVeterans Health Administration facilitiesElectronic health record dataNational Veterans Health AdministrationVeterans Health Administration patientsRecord dataNon-Hispanic black patientsElectronic medical record dataContinued public health effortsWhite patientsHealth record dataPublic health effortsCorporate Data WarehouseMedical record dataMultivariate logistic regression modelUse disorderLogistic regression modelsBurden of opioid use disorderModelling vaccination approaches for mpox containment and mitigation in the Democratic Republic of the Congo
Savinkina A, Kindrachuk J, Bogoch I, Rimoin A, Hoff N, Shaw S, Pitzer V, Mbala-Kingebeni P, Gonsalves G. Modelling vaccination approaches for mpox containment and mitigation in the Democratic Republic of the Congo. The Lancet Global Health 2024, 12: e1936-e1944. PMID: 39393385, DOI: 10.1016/s2214-109x(24)00384-x.Peer-Reviewed Original ResearchCitationsAltmetricIntegrating testing volume into bandit algorithms for infectious disease surveillance
Warren J, Prunas O, Paltiel A, Thornhill T, Gonsalves G. Integrating testing volume into bandit algorithms for infectious disease surveillance. Journal Of The Royal Statistical Society Series A (Statistics In Society) 2024, qnae090. DOI: 10.1093/jrsssa/qnae090.Peer-Reviewed Original ResearchAltmetric
Academic Achievements & Community Involvement
Honors
honor MacArthur Fellowship
10/04/2018National AwardJohn D. and Catherine T. MacArthur FoundationDetailsUnited States
News & Links
News
- October 15, 2025
Post-Pandemic COVID-19 linked with high numbers of workforce absences and exits
- October 07, 2025
In the U.S., Rising Temperatures May Increase Overdose Deaths
- July 21, 2025
New YSPH Pilot Grants Support Innovative Interdisciplinary Research
- February 13, 2025Source: New York Times
When ‘Just Asking Questions’ About Science Turns Into 300,000 Dead
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