SBIR/STTR Research Award

CyanoMap: Mapping inland lake quality and Amyotrophic lateral sclerosis risk fact

Award identifier 134d0fe60023491e5961514b1148dff946a884c798a1d1980072570c9c6f4697Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$934,357

Program and phase

SBIR · Phase II

Award year

2014

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
APPLIED GEOSOLUTIONS LLC
Proposal award date
2014-06-24
Contract end date
2016-12-31
UEI
JJDTXUBQGSN5
Solicitation number
PA13-234
Topic code
NIEHS

Research abstract

DESCRIPTION provided by applicant Amyotrophic lateral sclerosis ALS is a progressive fatal neurodegenerative disease with a lifetime risk of in for a young adult Armon The average life expectancy of a person with ALS is two to five years from time of diagnosis with new cases diagnosed per year Incidence rates vary in industrialized nations an annual incidence rate of to per population to that in developing countries per per year Evidence has shown potential linkages between cyanobacteria and ALS clusters Bradley et al Cyanobacteria are ubiquitous throughout all ecosystems and are particularly noxious when anthropogenic eutrophication of water bodies causes large concentrations to form andquot bloomsandquot Cyanobacteria are well known to produce acute and chronic toxins that have human health implications A primary obstacle in advancing our understanding of linkages between cyanobacteria blooms toxicity and ALS is a lack of information on the presence extent magnitude and intensity of harmful algal blooms HABs and water quality in water bodies Goal The innovation of this NIH SBIR Phase II is the development of operational water quality and cyanobacteria risk maps that utilize multiscale satellite remote sensing platforms to drive an eco epidemiological model for evaluating linkages between water quality and ALS Approach We will apply operational band ratio and shape filter algorithms to multiscale satellite remote sensing data We will utilize Landsat MERIS and MODIS to have scaled approach Spatial regression clustering and advanced geostatistics will be employed to build an eco epidemiological model to map ALS risk factors and characterize the relationship between water quality and ALS cases Expected Outcomes Operational lake cyanobacteria and water quality exposure maps and risk metrics Development of eco epidemiological modeling framework for evaluating linkages between water quality and ALS Phase II will develop model for three unique and diverse case studies for public health agencies in California New England and Florida Build and operate state of the art lake water quality and health risk web mapping services and mobile app for all lakes andgt hectares in Phase II study areas for end users using open source technology PUBLIC HEALTH RELEVANCE Development of eco epidemiological modeling framework for evaluating linkages between water quality and ALS Phase II will develop model for three unique and diverse case studies for public health agencies in California New England and Florida Understand etiology of ALS

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

21 SBIR/STTR records share this UEI (2004–2020). Reported award amounts total $6,650,260. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: National Aeronautics and Space Administration, Department of Agriculture, Department of Health and Human Services, National Science Foundation

Agency intelligence

Department of Health and Human Services

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