Monitoring contaminants of emerging concern in aquatic systems through the lens of citizen science.

Global urbanization trends have led to the widespread increasing occurrence of contaminants of emerging concern (CECs) such as pharmaceuticals, personal care products, pesticides, and micro- and nano-plastics in aquatic systems. Even at low concentrations, these contaminants pose a threat to aquatic ecosystems. To better understand the effects of CECs on aquatic ecosystems, it is important to measure concentrations of these contaminants present in these systems. Currently, there is an imbalance in CEC monitoring, with more attention to some categories of CECs, and a lack of data about environmental concentrations of other types of CECs. Citizen science is a potential tool for improving CEC monitoring and to establish their environmental concentrations. However, incorporating citizen participation in the monitoring of CECs poses some challenges and questions. In this literature review, we explore the landscape of citizen science and community science projects which monitor different groups of CECs in freshwater and marine ecosystems. We also identify the benefits and drawbacks of using citizen science to monitor CECs to provide recommendations for sampling and analytical methods. Our results highlight an existing disparity in frequency of monitoring different groups of CECs with implementing citizen science. Specifically, volunteer participation in microplastic monitoring programs is higher than volunteer participation in pharmaceutical, pesticide, and personal care product programs. These differences, however, do not necessarily imply that fewer sampling and analytical methods are available. Finally, our proposed roadmap provides guidance on which methods can be used to improve monitoring of all groups of CECs through citizen science.

State health policy making determinants, theory, and methods: a synthesis.

The American states exhibit considerable differences in health policy and market characteristics. Not only do they display substantial variation in spending, but they also display substantial variation in the strategies chosen to control costs, improve access, and ensure quality care. This article synthesizes studies that use 50-state statistical techniques to model policy adoption in the health sector. The purpose is to assess the strengths and weaknesses of this literature, to place it in the context of comparative state policy research generally, and to identify factors that best predict 17 health policy outcomes at the state level. A database was assembled containing 245 equations abstracted from 63 studies published between 1975 and 2002. Some predictors (such as income, aged population, public opinion, and nursing home beds) were studied much more frequently than others (e.g., education, divided government, federal Medicaid mandates, other states' adoptions). Results show that 43 of the 87 policy making determinants examined consistently predict two or more state-level outcomes, including four that predict five outcomes (non-white, urban, income, unemployment), two that predict six (tax capacity/effort, hospital beds), and two that predict seven (nursing home beds, liberal public opinion). Gaps are shown to exist in our understanding of the policy making effects of political system and intergovernmental characteristics.

Mammary tuberculosis in the young: a case report and literature review.

Tuberculosis (TB) of the breast is a rare condition with few cases reported outside of Asia. Its presence in juveniles is even more uncommon. Despite this, it is often easily treatable. The diagnosis of mammary TB should always be considered in an atypical presentation, and especially in those with high risk demographics. We present the case of a 16 year old girl with TB of the breast and review the literature currently available.