Publications by authors named "R A Boehm"

To describe 4 unique models of operationalizing wastewater-based surveillance (WBS) for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in jails of graduated sizes and different architectural designs. We summarize how jails of Cook County, Illinois (average daily population [ADP] 6000); Fulton County, Georgia (ADP 3000); Middlesex County, Massachusetts (ADP 875); and Washington, DC (ADP 1600) initiated WBS between 2020 and 2023. Positive signals for SARS-CoV-2 via WBS can herald a new onset of infections in previously uninfected jail housing units.

View Article and Find Full Text PDF

Background: Drinking water at U.S. Marine Corps Base (MCB) Camp Lejeune, North Carolina was contaminated with trichloroethylene and other industrial solvents from 1953 to 1985.

View Article and Find Full Text PDF

Biomaterials with nanoscale topography have been increasingly investigated for medical device applications to improve tissue-material interactions. This study assessed the impact of nanoengineered titanium surface domain sizes on early biological responses that can significantly affect tissue interactions. Nanostructured titanium coatings with distinct nanoscale surface roughness were deposited on quartz crystal microbalance with dissipation (QCM-D) sensors by physical vapor deposition.

View Article and Find Full Text PDF

In year one of the COVID-19 epidemic, the incidence of infection for US carceral populations was 5.5-fold higher than that in the community. Prior to the rapid roll out of a comprehensive jail surveillance program of Wastewater-Based Surveillance (WBS) and individual testing for SARS-CoV-2, we sought the perspectives of formerly incarcerated individuals regarding mitigation strategies against COVID-19 to inform acceptability of the new program.

View Article and Find Full Text PDF

Estimation of fractional flow reserve from coronary CTA (FFR-CT) is an established method of assessing the hemodynamic significance of coronary lesions. However, clinical implementation has progressed slowly, partly because of off-site data transfer with long turnaround times for results. The purpose of this study was to evaluate the diagnostic performance of FFR-CT computed on-site with a high-speed deep learning-based algorithm with invasive hemodynamic indexes as the reference standard.

View Article and Find Full Text PDF