Agriculture, Occupational Health Nurses in Agricultural Communities, Community Partners for Healthy Farming, Analysis of Surveillance Data for Agricultural Injuries, Cancer Control Demonstration Projects for Farming Populations, Birth Defects and Parental Occupational Exposures, Agricultural Health Study, Centers for Disease Control and Prevention Birth Defects Registry, Fatality Assessment and Control Evaluation (FACE), State-Based Fatality Surveillance Using FACE Model, Childhood Agricultural Injury Surveillance, National Agricultural Workers Survey, National Health Interview Survey, National Electronic Injury Surveillance System, Farm Family Health and Hazard Surveillance, Sentinel Event Notification System for Occupational Risk, Keokuk County Rural Health Study, Farmer Health Study, and the Work-Related Lung Disease Surveillance Report.
The NIOSH AFF Program identifies the following stakeholders and partners: farmers, hired farm workers, children as workers or bystanders, unpaid workers, forestry services workers, and fishermen. Stakeholders also include organizations, such as the Grange, United Farm Workers of America, Farm Safety 4 Just Kids, and the National Institute for Farm Safety. Private-sector stakeholders include equipment manufacturers, insurance companies, commodity groups, and workers’ compensation organizations. Federal entities include the U.S. Department of Agriculture (USDA) extension agents, the U.S. Environmental Protection Agency, and the U.S. Coast Guard (USCG).
Advisory groups have included the NIOSH Agricultural Steering Committee and the NIOSH Board of Scientific Counselors. In addition, several program evaluations have been conducted, including a Progress Review Workshop (1992), a Project Facts Evaluability Assessment (1992), and an Extramural Committee Review of the Extramural Cooperative Agreement Programs (1995).
As a result of the aforementioned methods used to identify new and emerging research, the AFF Program has listed the following new technologies and potential emerging issues as potentially relevant for new research:
Automatic steering, autopilot, and computer-operated equipment
Changing farmer demographics
DNA sensing chips and nanolasers
Exposure to genetically modified organisms
Exposure to high-pressure hydraulic systems
Irradiation of food