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David B. Hanna

Johns Hopkins University

$6,933,680
Attributed
$18,226,081
Total exposure
4
Grants
3
Lead (contact PI)

Attributed= this PI's even-split share of every grant they're on (the fair, additive number). Exposure = full size of all those grants.

Funding over time

peak $4.6M · FY201025
$5M$3.8M$2.5M$1.3M$0
'10
'11
'12
'13
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25

Funding mix

By agency

NIH$18,226,081 · 4

By mechanism

U01$16,938,601 · 1
K01$710,640 · 1
R21$475,474 · 1
F31$101,366 · 1

Top collaborators

Most similar at Johns Hopkins University

Same institution · by research overlap

Others in their field

Top investigators on “Comorbidity

Research focus

ComorbidityHiv InfectionsCohortInflammationMortalityImmune ActivationWomanAntiretroviral TherapyCardiovascular DiseasesCollaborationsPathogenesisLeadAgingPersonsInnovationAcquired Immunodeficiency SyndromeAffectFundingBaseCohort StudiesCaringEnsureGuidelinesParticipant

Grant awards (16)

Clinical Research Sites for the MACS/WIHS Combined Cohort Study (MACS/WIHS-CCS)$4,100,375
U01 · FY2025 · HL
Clinical Research Sites for the MACS/WIHS Combined Cohort Study (MACS/WIHS-CCS)$4,137,839
U01 · FY2024 · HL
Clinical Research Sites for the MACS/WIHS Combined Cohort Study (MACS/WIHS-CCS)$4,093,644
U01 · FY2023 · HL
Clinical Research Sites for the MACS/WIHS Combined Cohort Study (MACS/WIHS-CCS)$4,150,133
U01 · FY2022 · HL
Sex differences in the role of multi-omics in HIV-associated carotid artery atherosclerosis$446,507
U01 · FY2022 · HL
MACS/WIHS Combined Cohort Study (MWCCS) Administrative Supplement: Association of Oral Microbiome, HIV, and Pulmonary Function$10,103
U01 · FY2022 · HL
Prediction of heart failure in HIV-infected individuals$177,660
K01 · FY2020 · HL · contact PI
Machine learning-based profiles of atherosclerosis to predict disease outcomes in older HIV-infected women and men$216,981
R21 · FY2019 · AG · contact PI
Prediction of heart failure in HIV-infected individuals$177,660
K01 · FY2019 · HL · contact PI
Prediction of heart failure in HIV-infected individuals$177,660
K01 · FY2018 · HL · contact PI
Machine learning-based profiles of atherosclerosis to predict disease outcomes in older HIV-infected women and men$175,781
R21 · FY2018 · AG · contact PI
Machine learning-based profiles of atherosclerosis to predict disease outcomes in older HIV-infected women and men$82,712
R21 · FY2018 · AG · contact PI
Prediction of heart failure in HIV-infected individuals$177,660
K01 · FY2017 · HL · contact PI
Epidemiologic Evaluation of State AIDS Drug Assistance Program Features in the US$18,186
F31 · FY2012 · DA · contact PI
Epidemiologic Evaluation of State AIDS Drug Assistance Program Features in the US$41,800
F31 · FY2011 · DA · contact PI
Epidemiologic Evaluation of State AIDS Drug Assistance Program Features in the US$41,380
F31 · FY2010 · DA · contact PI