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Brian Neelon
Medical University Of South Carolina
$689,422
Attributed
$874,428
Total exposure
5
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 $242.7K · FY2018–25$250K$187.5K$125K$62.5K$0
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$874,428 · 3
VA$0 · 2
By mechanism
R21$798,184 · 2
P01$76,244 · 1
I01$0 · 2
Top collaborators
- Kelly J Hunt7 shared
- Leslie A Lenert2 shared
Most similar at Medical University Of South Carolina
Same institution · by research overlap
- Jennifer Renee Dahne$10,627,126
- Bo Cai$1,605,771
- Richelle J Koopman$5,721,511
- Phayvanh Pecha$210,013
- Crystal A. Gadegbeku$5,788,715
Others in their field
Other Emerging Leaders on “Statistical Methods”
- Marlene Ann Cooper · Harvard University D/B/A Harvard School Of Public Health$71,912,072
- Yunda Huang · Fred Hutchinson Cancer Center$55,037,960
- Leonard Freedman · Leidos Biomedical Research, Inc.$41,527,040
- Christopher Bee · Suny At Stony Brook$41,239,084
- John Hobbs · Suny At Stony Brook$41,239,084
- Michelle Lynn Sever · Rho Federal Systems Division, Inc.$26,732,375
Research focus
Statistical MethodsAreaTrendHealthcareSpatiotemporalCaringMethodologyStatisticsCohortPoliciesHealth Care CostsHeart DiseasesPrevalenceHealth DisparityPatient CareNot Hispanic Or LatinoProviderKidney FailureGeographic Information SystemsFlexibilityAmputationDisease OutcomeDiabetes MellitusHigh Risk
Grant awards (12)
Core D â Biostatistics Core$76,244
P01 · FY2025 · CA · contact PI
Examining linkages between disrupted care and chronic disease outcomes during the COVID-19 pandemic: a VAMC level spatio-temporal analysis$0
I01 · FY2025 · VA
Impact of neighborhood and workforce deprivation on diabetes outcomes in Veterans: a spatio-temporal analysis$0
I01 · FY2024 · VA · contact PI
Examining linkages between disrupted care and chronic disease outcomes during the COVID-19 pandemic: a VAMC level spatio-temporal analysis$0
I01 · FY2024 · VA
Multivariate spatiotemporal models to quantify disparities in COVID-19 health outcomes$185,516
R21 · FY2023 · MD · contact PI
Examining linkages between disrupted care and chronic disease outcomes during the COVID-19 pandemic: a VAMC level spatio-temporal analysis$0
I01 · FY2023 · VA
Multivariate spatiotemporal models to quantify disparities in COVID-19 health outcomes$242,655
R21 · FY2022 · MD · contact PI
Impact of neighborhood and workforce deprivation on diabetes outcomes in Veterans: a spatio-temporal analysis$0
I01 · FY2020 · VA · contact PI
Impact of neighborhood and workforce deprivation on diabetes outcomes in Veterans: a spatio-temporal analysis$0
I01 · FY2020 · VA · contact PI
A Bayesian nonparametric collaborative filtering algorithm to improve health care decisions$168,188
R21 · FY2019 · LM
Impact of neighborhood and workforce deprivation on diabetes outcomes in Veterans: a spatio-temporal analysis$0
I01 · FY2019 · VA · contact PI
A Bayesian nonparametric collaborative filtering algorithm to improve health care decisions$201,825
R21 · FY2018 · LM