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Regular application of over‐the‐counter (OTC) sunscreen is considered the foundation of skin cancer prevention, yet OTC sunscreen is not eligible for reimbursement in almost all state Medicaid benefit plans. On review of 111 Medicaid preferred drug lists (PDLs) across 50 states and the District of Columbia (DC), only five plans were identified that incorporate coverage of sunscreen. Thus, many recipients of Medicaid, the majority of whom are individuals and families of lower socioeconomic status, may encounter financial difficulty and thus forego utilizing sun protective measures due to financial constraints. Here, we compare current Medicaid coverage of OTC sunscreen and discuss calculated and theoretical annual costs of this skin cancer prevention method. [ABSTRACT FROM AUTHOR]

This study tested different Bayesian Journey-to-Crime (JTC) models on a sample group of 850 serial offenders apprehended in Baltimore County, MD from 1993 to 1997. In this research, Bayesian JTC models were being used to predict the home locations of the offenders. The sample group data included 133 assaults, 90 burglaries, 497 larcenies, 81 robberies, and 49 vehicle thefts. The main question this research aimed to answer was whether the addition of crimes of a different type to an existing crime series of a single type would result in more accurate and/or precise Bayesian JTC models. The standard practice by law enforcement has been to consider the same-type crime series only when modelling the anchor point of the offender. Similarly, in research, geographic profiles have been constructed exclusively with the same-type crime series. The results of this study clearly indicated that the inclusion of crimes of a different type into a single crime-type series will result in significantly more accurate and more precise Bayesian JTC models. In contrast, crime series with predominantly assault and burglary showed results that were inconclusive or indicated no significant differences. These results should encourage law enforcement agencies to re-evaluate their standard practice of constructing geographic profiles with only the same-type crime series. Copyright © 2009 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

The premise for this study is that the physical and cultural landscape has a deterministic effect on the location and distribution of serial crime. As a consequence, the distribution of linked crime scenes should exhibit a shape and orientation that is consistent with the underlying landscape. Geographic Profiling models that are able to account for these effects will provide more accurate results than those models that do not. Utilizing basic geographic principles of central tendency and spatial diffusion, this research first analyzed the output of circular and elliptical profile models generated for 30 serial burglaries (n = 164) and 67 serial robberies (n = 370) in Baltimore, Maryland between 1994 and 1997. A comparative analysis of the model output reveals that the Standard Deviational Ellipse is significantly (p = 0.000) better able to predict the home location of a serial offender than profiles generated from circles. Next, the relationship between the orientation of elliptical profiles and the mean linear orientation of the corresponding landscape was assessed to reveal a moderate but significant correlation (r = 0.511, p < 0.001). Together, these findings demonstrate that landscape does impact the locations of crime, and is a measurable parameter that can improve the efficacy of geographic profiling. Copyright © 2008 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]