Characterizing temporal trends in populations exposed to aircraft noise around U.S. airports: 1995-2015.

BACKGROUND: Aircraft noise is a key concern for communities surrounding airports, with increasing evidence for health effects and inequitable distributions of exposure. However, there have been limited national-scale assessments of aircraft noise exposure over time and across noise metrics, limiting evaluation of population exposure patterns. OBJECTIVE: We evaluated national-scale temporal trends in aviation noise exposure by airport characteristics and across racial/ethnic populations in the U.S. METHODS: Noise contours were modeled for 90 U.S. airports in 5-year intervals between 1995 and 2015 using the Federal Aviation Administration's Aviation Environmental Design Tool. We utilized linear fixed effects models to estimate changes in noise exposure areas for day-night average sound levels (DNL) of 45, 65, and a nighttime equivalent sound level (Lnight) of 45 A-weighted decibels (dB[A]). We used group-based trajectory modeling to identify distinct groups of airports sharing underlying characteristics. We overlaid noise contours and Census tract data from the U.S. Census Bureau and American Community Surveys for 2000 to 2015 to estimate exposure changes overall and by race/ethnicity. RESULTS: National-scale analyses showed non-monotonic trends in mean exposed areas that peaked in 2000, followed by a 37% decrease from 2005 to 2010 and a subsequent increase in 2015. We identified four distinct trajectory groups of airports sharing latent characteristics related to size and activity patterns. Those populations identifying as minority (e.g., Hispanic/Latino, Black/African American, Asian) experienced higher proportions of exposure relative to their subgroup populations compared to non-Hispanic or White populations across all years, indicating ethnic and racial disparities in airport noise exposure that persist over time. SIGNIFICANCE: Overall, these data identified differential exposure trends across airports and subpopulations, helping to identify vulnerable communities for aviation noise in the U.S. IMPACT STATEMENT: We conducted a descriptive analysis of temporal trends in aviation noise exposure in the U.S. at a national level. Using data from 90 U.S. airports over a span of two decades, we characterized the noise exposure trends overall and by airport characteristics, while estimating the numbers of exposed by population demographics to help identify the impact on vulnerable communities who may bear the burden of aircraft noise exposure.

Applying Data Analytics to Address Social Determinants of Health in Practice.

As public health and health care increase focus toward addressing social determinants of health (SDH), the growth of data and analytics affords new, impactful tools for data-informed community health improvement. Best practices should be established for responsible use, meaningful interpretation, and actionable implementation of SDH data for community health improvement.

Assessing functional needs sheltering in Pike County, Kentucky: using a community assessment for public health emergency response.

OBJECTIVE: During 2009-2011, Pike County, Kentucky, experienced a series of severe weather events that resulted in property damage, insufficient potable water, and need for temporary shelters. A Community Assessment for Public Health Emergency Response (CASPER) survey was implemented for future planning. CASPER assesses household health status, preparedness level, and anticipated demand for shelters. METHODS: We used a 2-stage cluster sampling design to randomly select 210 representative households for in-person interviews. We estimated the proportion of households with children aged 2 years or younger; adults aged 65 years or older; and residents with chronic health conditions, visual impairments, physical limitations, and supplemental oxygen requirements. RESULTS: Of all households surveyed, 8% included children aged 2 years or younger, and 27% included adults aged 65 years or older. The most common chronic health conditions were heart disease (51%), diabetes (28%), lung disease (23%), and asthma (21%). Visual impairments were reported in 29% of households, physical limitations in 24%, and supplemental oxygen use in 12%. CONCLUSIONS: Pike County residents should be encouraged to maintain an adequate supply of medications and copies of their prescriptions. Emergency response plans should include transportation for persons with physical limitations; and shelter plans should include sufficient medically trained staff and adequate supplies of infant formula, pharmaceuticals, and supplemental oxygen. (Disaster Med Public Health Preparedness. 2013;7:597-602).