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Paul Joseph Krezanoski
University Of California, San Francisco
$2,079,111
Attributed
$2,079,111
Total exposure
3
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. They are the sole PI on all grants (the two match).
Funding over time
peak $676K · FY2019–25$1M$750K$500K$250K$0
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$2,079,111 · 3
By mechanism
K23$986,248 · 1
R01$675,962 · 1
R21$416,901 · 1
Top collaborators
No co-investigators on record.
Most similar at University Of California, San Francisco
Same institution · by research overlap
- Daniel B Vigneron$43,424,992
- Diane V Havlir$125,216,731
- Craig R Cohen$97,239,582
- Bruce L Miller$34,542,477
- William A Weiss$31,543,847
Others in their field
Other Emerging Leaders on “Public Health”
- Kimberly Smith · Ppd Development Lp$115,671,664
- Marlene Ann Cooper · Harvard University D/B/A Harvard School Of Public Health$71,439,892
- Peter W Pisters · University Of Tx Md Anderson Can Ctr$56,084,949
- Mark Marino · Venturewell$51,488,542
- Susan M Landau · University Of California Berkeley$47,252,026
- Leonard Freedman · Leidos Biomedical Research, Inc.$39,554,144
Research focus
Public HealthBiteNational Institute Of Allergy And Infectious DiseaseUgandaVertebral ColumnCulicidaeMalariaMonitorPatternScale UpVectorAreaAffectLifeAfricaInsecticidesAfricanMalaria PreventionHouseholdIncidenceChildLinkAnopheles GenusEpidemiology
Grant awards (9)
Characterizing the interaction between human and vector behaviors to enhance the impact of malaria control interventions in Uganda$360,554
R01 · FY2025 · AI · contact PI
Characterizing the interaction between human and vector behaviors to enhance the impact of malaria control interventions in Uganda$315,408
R01 · FY2025 · AI · contact PI
Training of machine learning algorithms for the classification of accelerometer-measured bednet use and related behaviors associated with malaria risk$301,881
R21 · FY2024 · AI · contact PI
Identifying gaps between LLIN use and vector exposure to improve malaria control$197,188
K23 · FY2023 · AI · contact PI
Training of machine learning algorithms for the classification of accelerometer-measured bednet use and related behaviors associated with malaria risk$115,020
R21 · FY2023 · AI · contact PI
Identifying gaps between LLIN use and vector exposure to improve malaria control$197,141
K23 · FY2022 · AI · contact PI
Identifying gaps between LLIN use and vector exposure to improve malaria control$196,816
K23 · FY2021 · AI · contact PI
Identifying gaps between LLIN use and vector exposure to improve malaria control$196,885
K23 · FY2020 · AI · contact PI
Identifying gaps between LLIN use and vector exposure to improve malaria control$198,218
K23 · FY2019 · AI · contact PI