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This paper provides an overview of the societal impact of a rising dementia population and examines the legal and ethical implications posed by voluntary registries as a community-oriented solution to improve interactions between law enforcement and individuals with dementia. It provides a survey of active voluntary registries across the United States, with a focus on Arizona, which has the highest projected growth for individuals living with dementia in the country. [ABSTRACT FROM AUTHOR]

Police use of force is a significant problem in many communities, particularly related to episodes of behavioral health crisis where police are called to respond. Fragmentation of the behavioral health care system creates a revolving door where many residents with behavioral health challenges cycle in and out of the system, often accessing services via the 9-1-1 emergency system during a crisis episode. This work leverages ethnographic and participatory techniques to build a pathway map in order to represent and characterize the behavioral health crisis system in metropolitan Phoenix, Arizona, United States. Map findings illustrate that many nominally existing connections are functionally distant when viewed through the lens of a clinical handoff. The resulting pathway map can be used as a planning and confirmatory tool for community members, practitioners, and policymakers to address challenges in behavioral health and public safety. • Mental health crisis is frequently a factor in officer-involved shootings. • Police report insufficient resources for people experiencing mental health crisis. • Fragmented mental health systems lack effective handoffs between agencies. • Qualitative pathway mapping enables quality improvement efforts in complex systems. • Future statistical analysis can identify specific sites for system intervention. [ABSTRACT FROM AUTHOR]

We conducted a community seroprevalence survey in Arizona, from September 12 to October 1, 2020, to determine the presence of antibodies to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We used the seroprevalence estimate to predict SARS-CoV-2 infections in the jurisdiction by applying the adjusted seroprevalence to the county's population. The estimated community seroprevalence of SARS-CoV-2 infections was 4.3 times greater (95% confidence interval = 2.2, 7.5) than the number of reported cases. Field surveys with representative sampling provide data that may help fill in gaps in traditional public health reporting. ( Am J Public Health . 2022;112(1):38-42. https://doi.org/10.2105/AJPH.2021.306568).

Beginning in March 2020, the United States emerged as the global epicenter for COVID-19 cases with little to guide policy response in the absence of extensive data available for reliable epidemiological modeling in the early phases of the pandemic. In the ensuing weeks, American jurisdictions attempted to manage disease spread on a regional basis using non-pharmaceutical interventions (i.e., social distancing), as uneven disease burden across the expansive geography of the United States exerted different implications for policy management in different regions. While Arizona policymakers relied initially on state-by-state national modeling projections from different groups outside of the state, we sought to create a state-specific model using a mathematical framework that ties disease surveillance with the future burden on Arizona's healthcare system. Our framework uses a compartmental system dynamics model using a SEIRD framework that accounts for multiple types of disease manifestations for the COVID-19 infection, as well as the observed time delay in epidemiological findings following public policy enactments. We use a compartment initialization logic coupled with a fitting technique to construct projections for key metrics to guide public health policy, including exposures, infections, hospitalizations, and deaths under a variety of social reopening scenarios. Our approach makes use of X-factor fitting and backcasting methods to construct meaningful and reliable models with minimal available data in order to provide timely policy guidance in the early phases of a pandemic., Competing Interests: The authors have declared that no competing interests exist.