← Leaderboards
Justin V Remais
University Of California Berkeley
$8,510,342
Attributed
$13,875,426
Total exposure
6
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 $1.9M · FY2011–25$2M$1.5M$1M$500K$0
'11
'12
'13
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$13,875,426 · 6
By mechanism
R01$12,984,597 · 4
K01$643,208 · 1
R21$247,621 · 1
Top collaborators
- Howard H Chang5 shared
- Jason Robert Rohr5 shared
- Lance A Waller5 shared
- Mark Hoffman3 shared
- Theodore C. White3 shared
- Julie Parsonnet1 shared
Most similar at University Of California Berkeley
Same institution · by research overlap
- Patricia A Buffler$24,790,681
- Matthew David Macmanes$2,606,924
- Beth E Kuczynski$92,272
- Rachel Beth Brem$8,013,575
- Jennifer Head$854,027
Others in their field
Top investigators on “Epidemiology”
- David Heimbrook · Leidos Biomedical Research, Inc.$390,770,069
- George R Seage · Abt Associates, Inc.$299,251,523
- Jeffrey P Krischer · University Of South Florida$264,076,260
- Barbara Driver · Westat, Inc.$221,167,491
- Ethan Dmitrovsky · Leidos Biomedical Research, Inc.$206,739,528
- James Dennis Neaton · Northwestern University$203,539,316
Research focus
EpidemiologyInfectionHeterogeneityPublic HealthTransmission ProcessIncidenceResponseEnvironmental Risk FactorSpatiotemporalEnvironmentDensityDesignSourceRisk FactorsCoccidioidomycosisLaboratoriesSoilCaliforniaCommunicable DiseasesDisease OutbreaksAreaPathogenFutureClimate
Grant awards (31)
Using massive, multi-regional EHR data to estimate the impacts of environmental and other risk factors on fungal disease epidemiology in the U.S.$783,681
R01 · FY2025 · AI
Exploratory study of pesticide use and coccidioidomycosis$247,621
R21 · FY2025 · AI
Using massive, multi-regional EHR data to estimate the impacts of climate change on fungal disease epidemiology in the U.S.$783,657
R01 · FY2024 · AI
Integrating epidemiologic and environmental approaches to understand and predict Coccidioides exposure and coccidioidomycosis emergence$730,142
R01 · FY2024 · AI · contact PI
Integrating epidemiologic and environmental approaches to understand and predict Coccidioides exposure and coccidioidomycosis emergence$228,695
R01 · FY2024 · AI · contact PI
Using massive, multi-regional EHR data to estimate the impacts of climate change on fungal disease epidemiology in the U.S.$823,063
R01 · FY2023 · AI
Integrating epidemiologic and environmental approaches to understand and predict Coccidioides exposure and coccidioidomycosis emergence$741,377
R01 · FY2023 · AI · contact PI
Integrating epidemiologic and environmental approaches to understand and predict Coccidioides exposure and coccidioidomycosis emergence$289,083
R01 · FY2023 · AI · contact PI
Integrating epidemiologic and environmental approaches to understand and predict Coccidioides exposure and coccidioidomycosis emergence$52,653
R01 · FY2023 · AI · contact PI
Integrating epidemiologic and environmental approaches to understand and predict Coccidioides exposure and coccidioidomycosis emergence$747,060
R01 · FY2022 · AI · contact PI
Integrating epidemiologic and environmental approaches to understand and predict Coccidioides exposure and coccidioidomycosis emergence$50,861
R01 · FY2022 · AI · contact PI
Integrating epidemiologic and environmental approaches to understand and predict Coccidioides exposure and coccidioidomycosis emergence$29,535
R01 · FY2022 · AI · contact PI
Integrating epidemiologic and environmental approaches to understand and predict Coccidioides exposure and coccidioidomycosis emergence$838,232
R01 · FY2021 · AI · contact PI
Spatio-temporal data integration methods for infectious disease surveillance$716,058
R01 · FY2021 · AI · contact PI
Integrating epidemiologic and environmental approaches to understand and predict Coccidioides exposure and coccidioidomycosis emergence$774,446
R01 · FY2020 · AI · contact PI
Spatio-temporal data integration methods for infectious disease surveillance$716,058
R01 · FY2020 · AI · contact PI
Integrating Epidemiologic and Environmental Approaches to Understand and Predict Coccidioides Exposure and Coccidioidomycosis Emergence$28,430
R01 · FY2020 · AI · contact PI
Spatio-temporal data integration methods for infectious disease surveillance$709,208
R01 · FY2019 · AI · contact PI
Effects of agricultural expansion and intensification on infections$408,636
R01 · FY2019 · TW
Spatio-temporal data integration methods for infectious disease surveillance$718,887
R01 · FY2018 · AI · contact PI
Effects of agricultural expansion and intensification on infections$496,077
R01 · FY2018 · TW
Spatio-temporal data integration methods for infectious disease surveillance$774,780
R01 · FY2017 · AI · contact PI
Effects of agricultural expansion and intensification on infections$593,115
R01 · FY2017 · TW
Effects of agricultural expansion and intensification on infections$459,315
R01 · FY2016 · TW
Effects of agricultural expansion and intensification on infections$491,548
R01 · FY2015 · TW
Models for improving surveillance of environmentally-mediated infectious diseases$97,276
K01 · FY2015 · AI · contact PI
Models for improving surveillance of environmentally-mediated infectious diseases$30,888
K01 · FY2015 · AI · contact PI
Models for improving surveillance of environmentally-mediated infectious diseases$128,261
K01 · FY2014 · AI · contact PI
Models for improving surveillance of environmentally-mediated infectious diseases$128,501
K01 · FY2013 · AI · contact PI
Models for improving surveillance of environmentally-mediated infectious diseases$129,141
K01 · FY2012 · AI · contact PI
Models for improving surveillance of environmentally-mediated infectious diseases$129,141
K01 · FY2011 · AI · contact PI