OHHI Products and Data

OHHI is dedicated to develop and deliver useful products that address critical ocean-related public and wildlife health issues. Products and other services include tools, technologies, and environmental information that are shared with public health and natural resource managers, decision-makers and the public. OHHI is a partnership-driven program, and the following highlighted products and data links are the result of OHHI research and collaborations.

Please Note that the Products and Data page is currently under development.

OHHI Product Highlights

Improving Beach, Drinking Water and Seafood Management for Public Health

Health-related Forecasts, Advisories, and Bulletins A strategic goal of OHHI is to lead the development of early warning systems to forecast threats and predict long-term risks to human health throughout U.S. coastal and Great Lakes waters. Since the program.s inception, OHHI has worked with collaborating agencies and institutions to develop a number of forecasts, advisories and bulletins for early warning.

  • Puget Sound Harmful Algal Bloom (HAB) and Vibrio early warning: "SoundToxins" is a monitoring program designed to provide early warning of HAB and Vibrio parahaemolyticus events in order to minimize both human health risks and economic losses to Puget Sound fisheries. (OHHI Center: WCCOHH)

  • Pacific Northwest HAB Bulletin* is a web-based information system developed to provide a comprehensive early warning information system for Washington coast HAB events. It was developed by NOAA NWFSC with support from OHHI, NOAA Ecology and Oceanography of Harmful Algal Blooms (ECOHAB), NOAA Monitoring and Event Response Programs (MERHAB), the NSF ECOHAB, and the CDC. (OHHI Center: WCCOHH)

  • Lake Erie HAB Bulletin* is an experimental bulletin developed to provide a weekly forecast for Microcystis blooms in western Lake Erie. (OHHI Center: CEGLHH)

  • Great Lakes Beach forecasts (for pathogen prediction): Real-time hydrodynamic models were developed that provide nowcasts of nearshore water currents, wind direction, and water temperature in Lake Michigan for the beach areas around Grand Haven, Indiana Dunes, and Saginaw Bay. (OHHI Center: CEGLHH)

    *Additional HAB forecasting products, supported by NOAA, are either operational or under development throughout the nation. For more on HAB forecasting, visit NOAA's HAB Operational Forecasting System webpage.

Integrated Tools for Monitoring, Modeling, and Detection These are critical elements for developing robust health early warning systems. Below are some examples of recent tools, technologies, and information developed with OHHI support.

  • Tidal Creek Habitats: Sentinels of Coastal Health Booklet highlights tidal creek indicator research outcomes and recommendations for distribution to local land use planners, coastal decision makers, and citizens. (OHHI Center: HML)

  • Vibrio parahaemolyticus nowcasts in the Gulf of Mexico: Abundance and distribution maps of predicted Vibrio parahaemolyticus densities in oysters are updated as images are available and posted to the webpage as an informative tool for users. (University of Southern Mississippi, NOAA, FDA, NASA, and CDC)

  • Mapping Pathogens in the Chesapeake Bay: Experimental near real-time maps showing probability of Vibrio cholera occurrence are posted to the webpage for informational purposes. (University of Maryland and NOAA)

  • Sensors for detecting human and wildlife health threats - OHHI supports development of marine sensors to detect ocean-related health threats. For more on marine sensors, click here.

Building an OHH Community

OHHI strives to build a robust oceans and human health community working across disciplines and institutions to improve public health. OHHI has an active and successful graduate training program. Further, OHHI Centers have engaged stakeholders in a variety of forums and workshops to discuss emerging issues, assess user and community needs, and educate/train health and natural resource managers. Data Links

Links for Oceans and Human Health-related Datasets