Monday, September 15, 2025 9/15/2025

Next generation mosquito control through technology-driven trap development and artificial intelligence guided detection of mosquito breeding habitats

Award Number: R01AI165560
ORGANIZATION: NATIONAL INSTITUTE OF ALLERGY & INFECTIOUS DISEASES
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 09/17/2021
PERIOD OF PERFORMANCE END DATE: 08/31/2026

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Next generation mosquito control through technology-driven trap development and artificial intelligence guided detection of mosquito breeding habitats - Project Summary Each year, approximately 400 million people are infected with an arboviral disease from the bite of an Aedes spp mosquito. Aedes spp. mosquitoes are a leading public health threat due to their high competency to vector multiple pathogens, their preference to bite humans, and their ability to adapt to new domestic environments. In the US, reintroduction and establishment of Aedes aegypti and Aedes albopictus mosquito populations has resulted in local epidemics of Zika, dengue and chikungunya in the past decade. Unfortunately, mosquito control programs in the US generally operate with limited budgets, forcing the majority of insecticide spraying to be conducted in reaction to population exposure instead of targeted prevention, which has also contributed to considerable growth of insecticide resistant populations, yielding a widening gap of infrastructure vulnerability. Our current proposal aims to leverage existing technologies from non-health disciplines to advance mosquito detection and abatement. We propose to validate the use of technology-driven mosquito traps that allow for high- throughput identification and counting of Aedes mosquitos at various life stages to inform decision making when selecting areas for insecticide spraying and abatement. Additionally, we propose to develop rigorous remote sensing workflows for identification of neighborhood-level Aedes abundance risk and rapid detection of individual Aedes mosquito breeding habitats on a household-level. This innovative proposal uses multi-year and real-world mosquito data from two different metropolitan areas to statistically adjust for variances in geographic ecologies, urban microclimates, seasonal climate patterns, and annual weather events. Our study will result in low-cost tools immediately ready for broad distribution and integration by vector control agencies nationally. The outcomes of our study have promise to directly impact vector control agency’s decision-making processes for mosquito trapping site selection, inform preventative abetment protocols, and shorten the time required for mosquito collection and identification. Further, integration of our proposed technology traps and informed site selection maps will increase overall collection volumes while preserving scarce resources for local vector control agencies. This proposal has the potential to create a paradigm shift in how we approach vector control globally, with a targeted intervention resulting in significant economic, environmental, and clinical benefits.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2025 ( Subtotal = $717,814 )
2025	2025	UNIVERSITY OF SOUTH CAROLINA	1600 HAMPTON ST	COLUMBIA	SC	29208	RICHLAND	USA	Allergy and Infectious Diseases Research	001	5	8/22/2025	NON-COMPETING CONTINUATION	$717,814
2025	2024	UNIVERSITY OF SOUTH CAROLINA	1600 HAMPTON ST	COLUMBIA	SC	29208	RICHLAND	USA	Allergy and Infectious Diseases Research	000	4	4/21/2025	SUPPLEMENT FOR EXPANSION	$0
														Subtotal = $717,814

Issue Date FY: 2024 ( Subtotal = $923,340 )
2024	2024	UNIVERSITY OF SOUTH CAROLINA	1600 HAMPTON ST	COLUMBIA	SC	29208	RICHLAND	USA	Allergy and Infectious Diseases Research	001	4	8/5/2024	NON-COMPETING CONTINUATION	$728,486
2024	2024	UNIVERSITY OF SOUTH CAROLINA	1600 HAMPTON ST	COLUMBIA	SC	29208	RICHLAND	USA	Allergy and Infectious Diseases Research	002	4	9/12/2024	SUPPLEMENT FOR EXPANSION	$146,943
2024	2024	UNIVERSITY OF SOUTH CAROLINA	1600 HAMPTON ST	COLUMBIA	SC	29208	RICHLAND	USA	Allergy and Infectious Diseases Research	000	3	5/16/2024	SUPPLEMENT FOR EXPANSION	$47,911
														Subtotal = $923,340

Issue Date FY: 2023 ( Subtotal = $740,913 )
2023	2023	UNIVERSITY OF SOUTH CAROLINA	1600 HAMPTON ST # 414	COLUMBIA	SC	29208	RICHLAND	USA	Allergy and Infectious Diseases Research	000	3	7/26/2023	NON-COMPETING CONTINUATION	$740,913
														Subtotal = $740,913

Issue Date FY: 2022 ( Subtotal = $749,701 )
2022	2022	UNIVERSITY OF SOUTH CAROLINA	1600 HAMPTON ST # 414	COLUMBIA	SC	29208	RICHLAND	USA	Allergy and Infectious Diseases Research	000	2	8/19/2022	NON-COMPETING CONTINUATION	$749,701
														Subtotal = $749,701

Issue Date FY: 2021 ( Subtotal = $782,998 )
2021	2021	UNIVERSITY OF SOUTH CAROLINA	1600 HAMPTON ST # 414	COLUMBIA	SC	29208	RICHLAND	USA	Allergy and Infectious Diseases Research	000	1	9/17/2021	NEW	$782,998
														Subtotal = $782,998

Grand Total All Awards = $3,914,766

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Next generation mosquito control through technology-driven trap development and artificial intelligence guided detection of mosquito breeding habitats

Award Number: R01AI165560

ORGANIZATION: NATIONAL INSTITUTE OF ALLERGY & INFECTIOUS DISEASES

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

PERIOD OF PERFORMANCE START DATE: 09/17/2021

PERIOD OF PERFORMANCE END DATE: 08/31/2026

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