Abhishek Pandey, PhD
Cards
Contact/Administration
About
Contact/Administration
About
Contact/Administration
Contact Info
Epidemiology of Microbial Diseases
135 College Street, Rm 218
New Haven, CT 06510
United States
Titles
Research Scientist in Epidemiology (Microbial Diseases)
Affiliated Faculty, Yale Institute for Global Health
Contact Info
Epidemiology of Microbial Diseases
135 College Street, Rm 218
New Haven, CT 06510
United States
Titles
Research Scientist in Epidemiology (Microbial Diseases)
Affiliated Faculty, Yale Institute for Global Health
Contact Info
Epidemiology of Microbial Diseases
135 College Street, Rm 218
New Haven, CT 06510
United States
About
Titles
Research Scientist in Epidemiology (Microbial Diseases)
Affiliated Faculty, Yale Institute for Global Health
Biography
Dr. Pandey is a Research Scientist in the Center for Infectious Disease Modeling and Analysis at the Yale School of Public Health. He graduated with a BSc (Hons) degree in Mathematics from Ramjas College, Delhi University, and an MSc degree in Applied Mathematics from the Indian Institute of Technology Roorkee. He obtained his Ph.D. in Mathematics at Clemson University. In his research, Dr. Pandey develops data-driven mathematical models of infectious diseases to improve our understanding of the transmission dynamics, evaluate tools and strategies for disease control, inform public health policies, and provide tools for public health decision making. His current research focuses on the understanding impact of socio-political conflicts on public health response amidst disease outbreaks and evaluating control interventions for HIV and neglected tropical diseases such as sleeping-sickness.
Appointments
Epidemiology of Microbial Diseases
Research ScientistPrimary
Other Departments & Organizations
Education & Training
- Postdoctoral Associate
- Yale University (2016)
- PhD
- Clemson University, Mathematical Sciences (2014)
- MS
- Clemson University, Mathematical Sciences (2011)
- MSc
- Indian Institute of Technology, Applied Mathematics (2008)
Research
Overview
Public Health Interests
ORCID
0000-0003-4578-7487- View Lab Website
Center for Infectious Disease Modeling and Analysis
Research at a Glance
Yale Co-Authors
Publications Timeline
Alison Galvani, PhD
Jeffrey Townsend, PhD
Frederick Lewis Altice, MD, MA
Publications
2025
Impact of disease severity, age, sex, comorbidity, and vaccination on secondary attack rates of SARS-CoV-2: a global systematic review and meta-analysis
Sumsuzzman D, Ye Y, Wang Z, Pandey A, Langley J, Galvani A, Moghadas S. Impact of disease severity, age, sex, comorbidity, and vaccination on secondary attack rates of SARS-CoV-2: a global systematic review and meta-analysis. BMC Infectious Diseases 2025, 25: 215. PMID: 39948450, PMCID: PMC11827239, DOI: 10.1186/s12879-025-10610-5.Peer-Reviewed Original ResearchMeSH Keywords and ConceptsConceptsPopulation settingEffective public health strategiesConfidence intervalsImpact of disease severityModified Newcastle-Ottawa ScalePublic health strategiesHigher secondary attack rateRisk of biasNewcastle-Ottawa ScalePandemic responseGlobal systematic reviewRandom-effects modelFreeman-Tukey double arcsine transformationWeb of ScienceNo significant associationDrivers of SARS-CoV-2 transmissionHealth strategiesSecondary attack rateSARS-CoV-2Disease severityEffective pandemic responseTargeted interventionsDouble arcsine transformationOvid MEDLINESystematic reviewHarnessing the potential of human immunodeficiency virus self-testing to bolster pre-exposure prophylaxis uptake and achieve UNAIDS targets in sub-Saharan Africa
Galvani-Townsend S, Pandey A. Harnessing the potential of human immunodeficiency virus self-testing to bolster pre-exposure prophylaxis uptake and achieve UNAIDS targets in sub-Saharan Africa. Ann Infect 2025;9:1.Commentaries, Editorials and LettersIntegrating artificial intelligence with mechanistic epidemiological modeling: a scoping review of opportunities and challenges
Ye Y, Pandey A, Bawden C, Sumsuzzman D, Rajput R, Shoukat A, Singer B, Moghadas S, Galvani A. Integrating artificial intelligence with mechanistic epidemiological modeling: a scoping review of opportunities and challenges. Nature Communications 2025, 16: 581. PMID: 39794317, PMCID: PMC11724045, DOI: 10.1038/s41467-024-55461-x.Peer-Reviewed Original ResearchMeSH Keywords and ConceptsConceptsArtificial intelligenceEffective public health planningPublic health planningMechanistic modelSystematic search strategyCapabilities of artificial intelligenceData-mining capabilitiesReview of opportunitiesFusion of AIPotential of AIHealth plansSpectrum of infectious diseasesDisease dynamicsImpact of RSVpreF vaccination on reducing the burden of respiratory syncytial virus in infants and older adults
Du Z, Pandey A, Moghadas S, Bai Y, Wang L, Matrajt L, Singer B, Galvani A. Impact of RSVpreF vaccination on reducing the burden of respiratory syncytial virus in infants and older adults. Nature Medicine 2025, 31: 647-652. PMID: 39789324, PMCID: PMC11835734, DOI: 10.1038/s41591-024-03431-7.Peer-Reviewed Original ResearchMeSH Keywords and ConceptsConceptsRespiratory syncytial virusSyncytial virusRSV diseaseImpact of vaccinationBurden of respiratory syncytial virusVaccination of pregnant womenRSV-related mortalityProtein-based vaccinesVaccination of older adultsRSV vaccinePregnant womenSeasonal influenzaVaccine uptake ratesInfant hospitalizationClinical trialsPrefusion FHospital costsInfantsHealth burdenAdult immunizationVaccineOlder adultsHospitalEnhanced uptakeHigh-income countries
2024
Estimating the lives that could be saved by expanded access to weight-loss drugs
Pandey A, Ye Y, Wells C, Singer B, Galvani A. Estimating the lives that could be saved by expanded access to weight-loss drugs. Proceedings Of The National Academy Of Sciences Of The United States Of America 2024, 121: e2412872121. PMID: 39405358, PMCID: PMC11513960, DOI: 10.1073/pnas.2412872121.Peer-Reviewed Original ResearchMeSH Keywords and ConceptsConceptsGlucagon-like peptide-1Body mass index categoriesObesity prevalence dataGlucagon-like peptide-1 receptor agonistsHazard ratio of mortalityRatio of mortalityPublic health impactWeight loss drugsInsurance coverage issuesGastric inhibitory polypeptideHealthcare accessType 2 diabetesUnited StatesPublic health crisisObesity epidemicReceptor agonistsIndex categoriesHazard ratioPrevalence dataInhibitory polypeptidePeptide-1Health impactsNovel treatmentObesityHealth crisisMortality and morbidity ramifications of proposed retractions in healthcare coverage for the United States
Pandey A, Fitzpatrick M, Singer B, Galvani A. Mortality and morbidity ramifications of proposed retractions in healthcare coverage for the United States. Proceedings Of The National Academy Of Sciences Of The United States Of America 2024, 121: e2321494121. PMID: 38648491, PMCID: PMC11066981, DOI: 10.1073/pnas.2321494121.Peer-Reviewed Original ResearchMeSH Keywords and ConceptsEvaluation of Strategies for Transitioning to Annual SARS-CoV-2 Vaccination Campaigns in the United States.
Wells C, Pandey A, Moghadas S, Fitzpatrick M, Singer B, Galvani A. Evaluation of Strategies for Transitioning to Annual SARS-CoV-2 Vaccination Campaigns in the United States. Annals Of Internal Medicine 2024, 177: 609-617. PMID: 38527289, DOI: 10.7326/m23-2451.Peer-Reviewed Original ResearchConceptsSARS-CoV-2 vaccination campaignSARS-CoV-2Centers for Disease Control and PreventionDisease Control and PreventionSARS-CoV-2 vaccinesHealth care costsVaccine-acquired immunityFood and Drug AdministrationU.S. Food and Drug AdministrationControl and PreventionNational Institutes of HealthVaccination campaignInfluenza vaccineInitial doseInstitutes of HealthSARS-CoV-2 variantsBooster doseImmune evasionDrug AdministrationUnited StatesNotsew Orm Sands FoundationDoseHealthPopulation immunityNational InstituteA Generalizable Theory-Driven Agent-Based Framework to Study Conflict-Induced Forced Migration
Mehrab Z, Stundal L, Venkatramanan S, Swarup S, Lewis B, Mortveit H, Barrett C, Pandey A, Wells C, Galvani A, Singer B, Moghadas S, Leblang D, Colwell R, Marathe M. A Generalizable Theory-Driven Agent-Based Framework to Study Conflict-Induced Forced Migration. Proceedings Of The AAAI Conference On Artificial Intelligence 2024, 38: 23027-23033. DOI: 10.1609/aaai.v38i21.30345.Peer-Reviewed Original ResearchConceptsAgent-based frameworkForced migrationGraph dynamical systemsPolicy implicationsConflict-induced migrationLarge-scale population displacementMigration outflowPolicy challengesComputational frameworkSpatial granularityPopulation displacementSocial theoryConflict settingsRussian forcesModeling frameworkCivilian populationSocial sciencesPolicyAn agent-based framework to study forced migration: A case study of Ukraine
Mehrab Z, Stundal L, Venkatramanan S, Swarup S, Lewis B, Mortveit H, Barrett C, Pandey A, Wells C, Galvani A, Singer B, Leblang D, Colwell R, Marathe M. An agent-based framework to study forced migration: A case study of Ukraine. PNAS Nexus 2024, 3: pgae080. PMID: 38505694, PMCID: PMC10949908, DOI: 10.1093/pnasnexus/pgae080.Peer-Reviewed Original ResearchConceptsForced migrationOutflow of migrantsCase study of UkraineStudy of UkraineDeliver humanitarian assistanceMigration flowsHumanitarian assistanceHumanitarian resourcesPolicy-makersConflict eventsPolicymaker uncertaintyPolicy questionsRussian aggressionCrisis settingsUkraine warConflictPolicyConflict scenariosUkraineCase studyMigrantsMigrationBehavioral theoryWarCrisis
2023
Modelling the impact of a high-uptake bivalent booster scenario on the COVID-19 burden and healthcare costs in New York City
Pandey A, Fitzpatrick M, Moghadas S, Vilches T, Ko C, Vasan A, Galvani A. Modelling the impact of a high-uptake bivalent booster scenario on the COVID-19 burden and healthcare costs in New York City. The Lancet Regional Health - Americas 2023, 24: 100555. PMID: 37554154, PMCID: PMC10405058, DOI: 10.1016/j.lana.2023.100555.Peer-Reviewed Original ResearchConceptsHealthcare costsVaccine dosesInfluenza vaccine coverageCOVID-19 illnessDirect healthcare costsSevere health outcomesCOVID-19 vaccineCOVID-19 burdenNew York CityBooster vaccineVaccine coverageVaccination ratesBivalent vaccineBase case scenarioHealth outcomesEligible residentsProbable casesDisease controlVaccineCanadian InstituteCOVID-19VaccinationHealth researchCommonwealth FundOutcomes
Academic Achievements & Community Involvement
activity International Society of Global Health
Professional OrganizationsMemberDetails2021 - Presentactivity Frontiers in Tropical Diseases
Journal ServiceAssociate EditorDetails10/01/2022 - Presentactivity Evaluating the feasibility of the WHO elimination goals for sleeping sickness in DRC
Oral Presentation90th Annual Conference of the Indian Mathematical Society (IMS) - an International MeetDetails12/23/2024 - 12/26/2024Pune, MH, Indiaactivity Calibrating Models to Data
Oral PresentationMathematical Modeling and Computations for Infectious Diseases, BITS PILANI Goa CampusDetails04/12/2024 - 04/13/2024Sancoale, GA, Indiaactivity Projecting hospital utilization and assessing implications of silent transmission during the COVID-19 outbreak in the United States
Oral PresentationCOVID-19 Consortium Colloquium Speaker SeriesDetails09/16/2020 - PresentPart of a series organized by the UT COVID-19 Modeling ConsortiumSponsored by University of Texas, Austin
News & Links
News
- October 16, 2024
Expanding Access to Weight-Loss Drugs Could Save Thousands of Lives A Year, Study Finds
- March 25, 2024Source: Healio
Study: Annual COVID-19 vaccine campaign with second dose reduces disease burden, costs
- July 28, 2022Source: The Commonwealth Fund
How Many Lives Could a Fall COVID-19 Booster Campaign Save in the United States?
- July 27, 2022
Traveling or considering a night on the town? Best time to test for COVID is right before you leave
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Epidemiology of Microbial Diseases
135 College Street, Rm 218
New Haven, CT 06510
United States
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135 College Street, Ste 200, Rm 218
New Haven, CT 06510