An application for relating Legionella shower water monitoring results to estimated health outcomes.

Exposure models are useful tools for relating environmental monitoring data to expected health outcomes. The objective of this study was to (1) compare two Legionella shower exposure models, and (2) develop a risk calculator tool for relating environmental monitoring data to estimated Legionella infection risks and Legionnaires' Disease (LD) illness risks. Legionella infection risks for a single shower event were compared using two shower Legionella exposure models. These models varied in their description of partitioning of Legionella in aerosols and aerosol deposition in the lung, where Model 1 had larger and fewer aerosol ranges than Model 2. Model 2 described conventional vs. water efficient showers separately, while Model 1 described exposure for an unspecified shower type (did not describe it as conventional or water efficient). A Monte Carlo approach was used to account for variability and uncertainty in these aerosolization and deposition parameters, Legionella concentrations, and the dose-response parameter. Methods for relating infection risks to illness risks accounting for demographic differences were used to inform the risk calculator web application ("app"). Model 2 consistently estimated higher infection risks than Model 1 for the same Legionella concentration in water and estimated deposited doses with less variability. For a 7.8-min shower with a Legionella concentration of 0.1 CFU/mL, the average infection risks estimated using Model 2 were 4.8 × 10-6 (SD=3.0 × 10-6) (conventional shower) and 2.3 × 10-6 (SD=1.7 × 10-6) (water efficient). Average infection risk estimated by Model 1 was 1.1 × 10-6 (SD=9.7 × 10-7). Model 2 was used for app development due to more conservative risk estimates and less variability in estimated dose. While multiple Legionella shower models are available for quantitative microbial risk assessments (QMRAs), they may yield notably different infection risks for the same environmental microbial concentration. Model comparisons will inform decisions regarding their integration with risk assessment tools. The development of risk calculator tools for relating environmental microbiology data to infection risks will increase the impact of exposure models for informing water treatment decisions and achieving risk targets.

What are the most effective early response strategies and interventions to assess and address the immediate needs of children outside of family care?

OBJECTIVES: Children outside of family care face increased risk of threats to their well-being, have lower educational achievement, and experience adverse developmental outcomes. While it is generally accepted that early response and intervention is critical to reducing the risk of harm for children who have been separated from their families, it is not always clear what the most effective early response strategies are for assessing and addressing their immediate needs. The purpose of this review was to identify evidence-based early response strategies and interventions for improving the outcomes of children outside of family care, including children of and on the street, institutionalized children, trafficked children, children affected by conflict and disaster, and who are exploited for their labor. METHODS: A multi-phased, systematic evidence review was conducted on peer-reviewed and gray literature, which yielded a total of 101 documents that met the inclusion criteria and were reviewed. RESULTS: Overall there is a weak evidence base regarding assessment and early response interventions for children living outside of family care. Few studies included careful outcome measures or comparison groups. Although few proven interventions emerged, the review identified several promising early interventions and approaches. In emergency settings, family tracing and reunification is a highly effective response in regard to separated children, whereas placing children in institutional care is problematic, with the possible exception of time-limited placements of formerly recruited children in interim care centers. Livelihood supports are promising in regard to preventing and responding to children living outside family care. Other promising interventions include psychosocial support, including the use of traditional cleansing rituals as appropriate, educational supports such as Child Friendly Spaces, the maintenance of family connectedness for children of or on the streets, the use of community-based approaches that aid social integration, and approaches that enable meaningful child participation. A recurrent theme was that to be effective, all assessments and interventions must fit the context. CONCLUSION: A strong need exists for strengthening the evidence base regarding the effectiveness of early assessments and responses to children living outside family care and for using the evidence to guide operational policy and practice. Recommendations regarding policy, practices, and research emerged from the review process.

Evaluation of the vibratory feeder method for assessment of powder flow properties.

The flow properties of pharmaceutical powders and blends used in solid oral dosage forms are an important consideration during dosage form development. The vibratory feeder method, a flow measurement technique that quantifies avalanche flow, has been adapted for measurement of the flow properties of common pharmaceutical powders used in solid oral dosage forms. The flow properties of 17 different powders were measured with the instrument, and the results are reported as a powder flow index (PFI). The PFI trends of the powders correlate well with flow properties reported in the literature. The flow properties of the powders were also measured with a commercially available avalanche instrument, the Aero-Flow, and the results were reported as the mean time to avalanche (MTA). Since the two instruments analyze the avalanche by different algorithms, the results were compared with nonparametric statistical evaluation of ranked data, and they were found to be in excellent agreement. A recommended procedure for measurement of powder flow with the vibratory feeder is presented.