Precision Data

Smoke hazards in the Agricultural Workplace; a bilingual survey for agricultural employers

Agricultural workers are exposed to fine particulate matter from wildfire smoke given the nature of their work. The purpose of the proposed study is to explore and compare perceptions of air quality monitoring, health impacts, and hazard communication strategies among Spanish- and English-speaking agricultural employers and employees. Findings from our bilingual survey will be disseminated through peer-reviewed journals, conferences, and industry stakeholders.

Evaluation of the Oregon Overtime Pay Legislation (HB-4002) among Latine Agricultural Workers

This proposal seeks to evaluate the impact of the new Oregon overtime law on farmworkers’ work experiences (e.g., wage theft; work overload; stress; job insecurity) and well-being, including mental health. Oregon passed HB 4002 in 2022, which began its five-year phase-in to provide overtime pay to agricultural workers starting in January 2023.

Refining estimates of spatiotemporal variation crop worker exposures to heat and wildfire smoke in rural agricultural regions

Case study among H-2A foreign visa worker applications.

This project seeks to refine spatial and temporal estimates of wildfire smoke, heat, and dual exposure among region X crop workers. This project will estimate and compare the burden of exposure (worker days at risk) to wildfire smoke (WFS), heat, and dual exposure among crop worker groups.

Tracking Agriculture, Forestry, and Fishing Health Indicators: RISC 2.0

Fatal and non-fatal injuries in the agriculture, forestry, and fishing sectors remain both elevated and poorly documented, compared to other work settings. The proposed surveillance project expands on the current Risk Information System for Commercial (RISC) Fishing, to encompass agriculture, forestry, and fishing in the four state (Alaska, Idaho, Oregon, Washington) PNASH region.  

Project aims are to:  

Engineering Solutions to Reduce Pesticide Exposure and Waste on Northwest Fruit Farms

The overall objectives of this project are to evaluate emerging pesticide application technologies and educational programming as interventions for breaking the pesticide exposure pathway on Northwest fruit farming systems. Labor-intensive fruit commodities put farmworkers and their families at disproportionate risk of pesticide-related illness via pesticide handling, drift, or the take-home exposure pathways.

Forestry Workforce Location- and Wearable-based Activity Recognition to Quantify on-the Job Digital Health and Safety Metrics

Logging is among the most dangerous professions in the United States. Manual felling of timber with chainsaws and setting of cable log chokers accounted for 47% of injuries in Idaho between 2011-2014. Building on a recent PNASH pilot project, a library of wearable- and location-based human activity recognition (HAR) models will be developed and coded into a smartwatch app prototype to enhance the safety and efficiency of forestry work in Idaho, Oregon, and Washington through increased situational awareness (SA) among workers on remote cable logging operations.  

Evaluation of Wearable-Based Activity Recognition Modeling Applications for Logging Safety

This pilot project is integrating geospatial technology and activity recognition modeling into a Garmin smartwatch and smartphone application for rigging crew workers in the logging industry. This application aims to prevent injuries by improving loggers’ situational awareness by providing real-time updates of their coworkers’ work activity status and location.

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