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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 · FY201825
$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

Most similar at Medical University Of South Carolina

Same institution · by research overlap

Others in their field

Other Emerging Leaders on “Statistical Methods

Research focus

Statistical MethodsAreaTrendHealthcareSpatiotemporalCaringMethodologyStatisticsCohortPoliciesHealth Care CostsHeart DiseasesPrevalenceHealth DisparityPatient CareNot Hispanic Or LatinoProviderKidney FailureGeographic Information SystemsFlexibilityAmputationDisease OutcomeDiabetes MellitusHigh Risk

Grant awards (12)

Core D – 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