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Infectious Disease Society Kota Kinabalu

Kota Kinabalu

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$1,356,360
Total funding
2
Grants

Funding over time

peak $136.7K · FY201525
$200K$150K$100K$50K$0
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25

Funding mix

By agency

NIH$1,356,360 · 2

By mechanism

R01$1,356,360 · 2

Investigators at Infectious Disease Society Kota Kinabalu

InvestigatorsiAttributed = a PI's even-split share of each grant — a $1M grant with 2 PIs counts $500K each.
Exposure= the full size of every grant they're on ($1M each).

Rising Stars

First grant in the last 5 yrs

Not enough data

Emerging Leaders

6–10 yrs in

Largest grants

Comparative incidence and clinical spectrum of Plasmodium knowlesi malaria, a longitudinal study in Sabah, Malaysia$136,728
R01 · FY2016 · AI
Comparative incidence and clinical spectrum of Plasmodium knowlesi malaria, a longitudinal study in Sabah, Malaysia$136,728
R01 · FY2015 · AI
Comparative incidence and clinical spectrum of Plasmodium knowlesi malaria, a longitudinal study in Sabah, Malaysia$136,728
R01 · FY2018 · AI
Comparative incidence and clinical spectrum of Plasmodium knowlesi malaria, a longitudinal study in Sabah, Malaysia$136,728
R01 · FY2017 · AI
Emerging zoonotic malaria in Malaysia: strengthening surveillance and evaluating population genetic structure to improve regional risk prediction tools$135,502
R01 · FY2021 · AI
Comparative incidence and clinical spectrum of Plasmodium knowlesi malaria, a longitudinal study in Sabah, Malaysia$135,272
R01 · FY2019 · AI
Emerging zoonotic malaria in Malaysia: strengthening surveillance and evaluating population genetic structure to improve regional risk prediction tools$134,963
R01 · FY2024 · AI
Emerging zoonotic malaria in Malaysia: strengthening surveillance and evaluating population genetic structure to improve regional risk prediction tools$134,896
R01 · FY2023 · AI
Emerging zoonotic malaria in Malaysia: strengthening surveillance and evaluating population genetic structure to improve regional risk prediction tools$134,428
R01 · FY2025 · AI
Emerging zoonotic malaria in Malaysia: strengthening surveillance and evaluating population genetic structure to improve regional risk prediction tools$134,387
R01 · FY2022 · AI