Aeroallergens such as pollen are an ongoing public health concern, triggering seasonal allergies, potentially worsening respiratory conditions like asthma, and reducing quality of life. Historically, there has been no publicly available aeroallergen data available for Maine to characterize exposure patterns and inform public health responses. To address this gap, a statewide aeroallergen monitoring network was established in Maine to collect these data needed to support public health and individual decision-making and reduce exposure and health impacts.

This presentation will describe the implementation of two monitoring methods deployed in Maine over a two-year period (2024-2025). The first method utilizes traditional microscopic identification, while the second employs emerging automated technologies for near real-time detection and classification. We will discuss the strengths and limitations of each approach, including considerations related to staffing, data processing, and maintenance, as well as the operational challenges encountered in sustaining a monitoring network in a rural, weather-variable state.

Results from two years of monitoring will be presented, highlighting temporal and spatial trends in aeroallergens across the state. Differences in seasonal timing, peak concentrations, and spatial variability will be examined. In addition, findings from a direct comparison of the two monitoring methods will be shared.

The presentation will also preview newly developed public-facing data tools designed to improve accessibility and usability of aeroallergen information for the general public. Finally, we will outline future goals for the program to better support public health decision-making.