To develop and validate a brief, structured, behavioral health module for use by local public health practitioners to rapidlyassess behavioral health needs in disaster settings. Data were collected through in-person, telephone, and webbased interviewsof 101 individuals afected by Hurricanes Katrina (n = 44) and Sandy (n = 57) in New Orleans and New Jersey in Apriland May 2018, respectively. Questions included in the core module were selected based on convergent validity, internalconsistency reliability, test–retest reliability across administration modes, principal component analysis (PCA), questioncomprehension, eiciency, accessibility, and use in population-based surveys. Almost all scales showed excellent internal consistencyreliability (Cronbach’s alpha, 0.79–0.92), convergent validity (r > 0.61), and test–retest reliability (inperson vs. telephone,intra-class coeicient, ICC, 0.75–1.00; in-person vs. web-based ICC, 0.73–0.97). PCA of the behavioral health scales yieldedtwo components to include in the module—mental health and substance use. The core module has 26 questions—includingself-reported general health (1 question); symptoms of posttraumatic stress disorder, depression, and anxiety (Primary Care PTSD Screen,Patient Health Questionnaire-4; 8 questions); drinking and other substance use (Alcohol Use Disorders IdentiicationTest-Concise, AUDIT-C; Drug Abuse Screening Test, DAST-10; stand-alone question regarding increased substance usesince disaster; 14 questions); prior mental health conditions, treatment, and treatment disruption (3 questions)—and can beadministered in 5–10 minutes through any mode. This lexible module allows practitioners to quickly evaluate behavioral healthneeds, efectively allocate resources, and appropriately target interventions to help promote recovery of disaster-afectedcommunities. Supplementary Information The online version contains supplementary material available at 10.1007/s10900-021-00966-5.

Although the magnitude of the corrections is small, such corrections can be important for demanding micro-CT applications. Even if no voxel size correction is required, the phantom provides an easily implemented method to verify the geometric fidelity of micro-CT scanners to a traceable standard of measurement.

Purpose: To quantify and correct the geometric accuracy of an x‐ray microCT scanner to improve fiducial localization in image‐guided needle positioning systems. Methods: A geometric accuracy phantom was constructed by creating a one‐inch cube consisting of a 4×4×4 3D matrix of calibrated ¼” diameter spherical beads alternating between two materials. The phantom was imaged at both the isocenter and at the edge of the field of view of a micro‐CT scanner. All bead positions were measured in sets of five images and averaged. An automated algorithm evaluated the geometric accuracy of the scanner by comparing the known position of the beads in the phantom to their positions in the images. The algorithm used a least‐squares solution to determine scaling factors in the horizontal, vertical and axial directions of the images to correct the geometric inaccuracies. The accuracy of localizing a fiducial marker mounted onto a needle positioning system was determined with and without using the calculated scaling factors. Results: Use of the scaling factors reduced the geometric error of the measured bead positions within the phantom by a factor of two at both the isocenter and the offset position. The mean bead position errors were reduced from 54 μm to 27 μm at the isocenter and from 68 μm to 26 μm at the offset position. Localization of the fiducial mounted onto the needle positioning system was also improved by applying the scaling factors. The mean error of the measured fiducial position was reduced from 108 μm to 38 μm. Conclusions: Application of a geometric accuracy phantom in micro‐CT image‐guided needle positioning systems can improve fiducial localization and should reduce the overall needle positioning error of these systems. Further study will be required to determine optimal use of the phantom and its utility in image‐guided interventions.