Lead (Pb) soil contamination in urban environments represents a considerable health risk for exposed populations, which often include environmental justice communities. In Philadelphia, Pennsylvania (PA), Pb pollution is a major concern primarily due to extensive historical Pb-smelting/processing activity and legacy use of Pb-based paints and leaded gasoline. The U.S. Environmental Protection Agency (USEPA) organized and/or compiled community-driven soil sampling campaigns to investigate Pb content in surface soils across Philadelphia. Using these data (n = 1277), combined with our own dataset (n = 1388), we explored the spatial distribution of Pb content in soils across the city using ArcGIS. While assessing Zone Improvement Plan (ZIP)-code level data, we found strong correlations between factors, such as the percentage of children with elevated blood lead levels (% EBLL) and % minority population as well as between % EBLL and % children in poverty. We developed a “Lead Index” that took demographics, median measured Pb-in-soil content, and % EBLLs into account to identify ZIP codes in need of further assessment. Our results will be used to help lower the Pb-exposure risk for vulnerable children living in disproportionately burdened communities.

Leveraging the community of practice recently established through the U.S. National Institute of Environmental Health Sciences (NIEHS) Disaster Research Response (DR2) working group, we used a modified Delphi method to identify and prioritize environmental health sciences Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) and associated Coronavirus Disease 2019 (COVID-19) research questions. Twenty-six individuals with broad expertise across a variety of environmental health sciences subdisciplines were selected to participate among 45 self-nominees. In Round 1, panelists submitted research questions and brief justifications. In Round 2, panelists rated the priority of each question on a nine-point Likert scale. Responses were trichotomized into priority categories (low priority; medium priority; and high priority). A research question was determined to meet consensus if at least 69.2% of panelists rated it within the same priority category. Research needs that did not meet consensus in round 2 were redistributed for re-rating. Fourteen questions met consensus as high priority in round 2, and an additional 14 questions met consensus as high priority in round 3. We discuss the impact and limitations of using this approach to identify and prioritize research questions in the context of a disaster response.

The integration of environmental health (EH) into routine clinical care for children is in its early stages. The vision of pediatric EH is that all clinicians caring for children are aware of and able to help connect families to needed resources to reduce harmful environmental exposures and increase health-enhancing ones. Environmental exposures include air pollution, substandard housing, lead, mercury, pesticides, consumer products chemicals, drinking water contaminants, industrial facility emissions and, increasingly, climate change-related extreme weather and heat events. An identified need is to simultaneously educate clinicians while connecting families to evidence-based EH interventions. Here, we describe a multi-decadal effort to create, refine, and disseminate a clinical tool called Prescriptions (Rxs) for Prevention that responds to that identified need. These tools are modeled on a risk communication framework and use a format that support clinicians when they screen their patients for EH concerns, to then counsel on those topics, and refer to EH resources if needed. Rxs for Prevention—tailored with local resources—are now in use at more than a dozen sites in multiple regions of the U.S. supporting the promotion of healthy homes, communities, and the broader environment for children. These Rxs are reducing barriers to EH integration by educating clinicians, linking families to community resources, and strengthening clinic and community connections. On-going evaluation can help further the implementation of the Rxs for Prevention to help achieve the long-term vision of integrating EH into routine clinical care.

Residents in Louisiana, Mississippi, and Alabama have experienced repeated natural and man-made environmental exposures. As frequency and intensity of exposures increase, the need for environmental specialty care rises in environmentally overburdened communities. We evaluated access to environmental health expertise in these states. We determined if providers accepted private health insurance and/or self-pay mapping their location using ArcGIS. Of sixty-four physicians meeting inclusion criteria, only eleven (17%) accepted private health insurance and thirty-four (53%) accepted self-pay. The ratio of physicians with environmental expertise who accept private health insurance and/or self-pay, to the population is < 1:1,000,000. Occupational clinics employ specialty physicians to provide care to industry employees but generally not patients with non-work-related exposure. We discuss the implications of limited access to environmental specialty care. To improve the availability of specialty expertise in this region, we recommend increased funding for training physicians in environmental exposure assessment in underserved communities, especially environmental justice communities.