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"While the public health philosophy of the 20th Century -- emphasizing prevention -- is ideal for addressing natural disease outbreaks, it is not sufficient to confront 21st Century threats where adversaries may use biological weapons agents as part of a long-term campaign of aggression and terror. Health care providers and public health officers are among our first lines of defense. Therefore, we are building on the progress of the past three years to further improve the preparedness of our public health and medical systems to address current and future BW [biological warfare] threats and to respond with greater speed and flexibility to multiple or repetitive attacks." Homeland Security Presidential Directive 21 Bioterrorism is not a new threat in the 21st century -- thousands of years ago the plague and other contagious diseases were used in warfare -- but today the potential for catastrophic outcomes is greater than it has ever been. To address this threat, the medical and public health communities are putting various measures in place, including systems designed to pro-actively mon- itor populations for possible disease outbreaks"--Provided by publisher

false (Extension publication?) ; Paper written and published as part of the authors' duties as US Government employees; the publisher does not hold copyright to the work.

Interfaces, 42:6, 585-590. ; The article of record as published may be found at http://dx.doi.org/10.1287/inte.1120.0649 ; This paper presents the first rankings of nonacademic organizations according to their contributions to the INFORMS practice literature. Two rankings are given, each based on a different metric: visibility is the number of authors who list an organization as their primary affiliation; yield is the equivalent number of INFORMS practice papers attributable to each organization based on author primary affiliation. For the visibility rankings, IBM comes in first place, followed by Hewlett-Packard in second, the US Government in third, and General Electric in fourth place. These are followed by Sasol, Procter & Gamble, and Merrill Lynch. For the yield rankings, the US Government comes in first place, followed by General Electric and IBM tied for second, and Hewlett-Packard in fourth place. They are followed by Intel in fifth, Procter & Gamble in sixth, and Merrill Lynch in seventh place.

This chapter is a comprehensive overview of sampling methods for web and e-mail (Internetbased) surveys. It reviews the various types of sampling method both probability and nonprobability and examines their applicability to Internet-based surveys. Issues related to Internetbased survey sampling are discussed, including difficulties assembling sampling frames for probability sampling, coverage issues, and nonresponse and selection bias. The implications of the various survey mode choices on statistical inference and analyses are summarized. ; Published (Publication status) ; Because the author was a US Government employee at the time of publication, the publisher does not hold the copyright.

This article was developed in parallel with the article, The Survey Process: With an Emphasis on Survey Data Analysis, published in the June edition of PHALANX. Together these articles discuss the importance of surveys as an essential tool for the contemporary national security operational analyst. ; false (Extension publication?) ; Paper written and published as part of the authors' duties as US Government employees; the publisher does not hold copyright to the work.

To facilitate targeted intervention in substance abuse treatment programs, a scoring methodology is developed to identify clients at risk of premature program exit. Designed to be simple enough for a clinician to easily apply in practice, the risk score is derived from self-reported and observable client characteristics collected at program intake. Our motivating problem is improving a residential substance abuse treatment program for military veterans, and we demonstrate the risk score applied to data from 680 veterans who exited from a San Diego-based rehabilitation program from 2009 to 2011. For this program, the existence of a mental health condition, chronic physical health condition, and the client's residence prior to program admission were predictive of successfully completing 150 days of treatment. Length of stay and residence prior to program admission were predictive of successful program completion. The risk score methodology is generalizable and can be customized for any treatment program. ; Approved for public release; distribution is unlimited.

To facilitate targeted intervention in substance abuse treatment programs, a scoring methodology is developed to identify clients at risk of premature program exit. Designed to be simple enough for a clinician to easily apply in practice, the risk score is derived from self-reported and observable client characteristics collected at program intake. Our motivating problem is improving a residential substance abuse treatment program for military veterans, and we demonstrate the risk score applied to data from 680 veterans who exited from a San Diego-based rehabilitation program from 2009 to 2011. For this program, the existence of a mental health condition, chronic physical health condition, and the clients residence prior to program admission were predictive of successfully completing 150 days of treatment. Length of stay and residence prior to program admission were predictive of successful program completion. The risk score methodology is generalizable and can be customized for any treatment program. ; false (Extension publication?)

To facilitate targeted intervention in substance abuse treatment programs, a scoring methodology is developed to identify clients at risk of premature program exit. Designed to be simple enough for a clinician to easily apply in practice, the risk score is derived from self-reported and observable client characteristics collected at program intake. Our motivating problem is improving a residential substance abuse treatment program for military veterans, and we demonstrate the risk score applied to data from 680 veterans who exited from a San Diego-based rehabilitation program from 2009 to 2011. For this program, the existence of a mental health condition, chronic physical health condition, and the client's residence prior to program admission were predictive of successfully completing 150 days of treatment. Length of stay and residence prior to program admission were predictive of successful program completion. The risk score methodology is generalizable and can be customized for any treatment program. ; Approved for public release; distribution is unlimited.

Brief Article ; To facilitate targeted intervention in substance abuse treatment programs, a scoring methodology is developed to identify clients at risk of premature program exit. Designed to be simple enough for a clinician to easily apply in practice, the risk score is derived from self-reported and observable client characteristics collected at program intake. Our motivating problem is improving a residential substance abuse treatment program for military veterans, and we demonstrate the risk score applied to data from 680 veterans who exited from a San Diego-based rehabilitation program from 2009 to 2011. For this program, the existence of a mental health condition, chronic physical health condition, and the client's residence prior to program admission were predictive of successfully completing150 days of treatment. Length of stay and residence prior to program admission were predictive of successful program completion. The risk score methodology is generalizable and can be customized for any treatment program.

In this paper, we examine the applicability of Mayer, Schoorman, and Davis' 1995 Integrative Model of Organizational Trust for modeling citizens' trust in their government. We assess this via an empirical evaluation using country-level 2010 survey data collected in four Western Trans-Sahel countries (Burkina Faso, Senegal, Mali, and Nigeria). Our fundamental result is that the data and analyses support the Mayer et al. model, though our results also suggest some modifications. In particular, we find that there are two separate dimensions to ability and benevolence/integrity, and our models suggest the existence of a new factor in models of government trust that we hypothesize is related to government reputation.

Based on information gathered from the United States armed services, the Royal Navy and the Australian Defence Force, best practices in corporate America, and the academic literature, this report provides forward leaning practices and actionable recommendations to Commander, Navy Recruiting Command (CNRC). The goal is to improve and best align Navy Recruiting practices for the Millennial and post-Millennial generations. To achieve this, we: (1) identified and evaluated past alternative recruiting efforts, (2) assessed the literature on trends in the Millennial and post-Millennial generations, and (3) synthesized this information to pose future Navy recruiting strategies. Ultimately, this report concludes that the military recruiting community must establish a program of research and experimentation in order to learn how to improve military recruiting. ; Navy Recruiting Command ; OPNAV N1 ; Approved for public release; distribution is unlimited.