and do not assume endorsement by the Federal Government (Edgar, 75.620(b)). ACKNOWLEDGEMENTS We gratefully acknowledge Cindy Gruman and Allison Roche for their assistance in preparing this report. We also appreciate the helpful comments on an early draft of the report provided by David Stapleton.

The hallmark of skilled reading is the ability to read individual words accurately and quickly in isolation as well as in text, referred to as “context free” word reading skill (Stanovich, 1980). For a skilled reader, even a quick glance at a word activates its pronunciation and meaning. Being able to read words from memory by sight is valuable because it allows readers to focus their attention...

four fat-tailed ewes from an indoor flock (n=40) were examined for recumbency and depressive nervoussigns. they were from a seemingly nonpregnant group of the flock that had been diagnosed bytransabdominal ultrasonography. the ration consisted of mainly wheat straw since their separation from thepregnant group. detection of pregnancy on abdominal palpation along with depressive nervous signs an...

For Salmonella enterica serovar Enteritidis, 85% of isolates can be classified into 5 pulsed-field gel electrophoresis (PFGE) types. However, PFGE has limited discriminatory power for outbreak detection. Although whole-genome sequencing has been found to improve discrimination of outbreak clusters, whether this procedure can be used in real-time in a public health laboratory is not known. There...

Objectives: Bayesian anomaly detection computes posterior probabilities of anomalous events by combining prior beliefs and evidence from data. However, the specification of prior probabilities can be challenging. This paper describes a Bayesian prior in the context of disease outbreak detection. The goal is to provide a meaningful, easy-to-use prior that yields a posterior probability of an out...

OBJECTIVES Several automated algorithms for epidemiological surveillance in hospitals have been proposed. However, the usefulness of these methods to detect nosocomial outbreaks remains unclear. The goal of this review was to describe outbreak detection algorithms that have been tested within hospitals, consider how they were evaluated, and synthesize their results. METHODS We developed a sea...

Epidemic outbreak detection is an important problem in public health and the development of reliable methods for outbreak detection remains an active research area. In this paper we introduce a Bayesian method to detect outbreaks of influenza-like illness from surveillance data. The rationale is that, during the early phase of the outbreak, surveillance data changes from autoregressive dynamics...

Over the past few years, emergent threats posed by infectious diseases and bioterrorism have become public health concerns that have increased the need for prompt disease outbreak warnings. In most of the existing disease surveillance systems, disease outbreak risk is assessed by the detection of disease outbreaks. However, this is a retrospective approach that impacts the timeliness of the war...

There are two principal impediments in statistical process control methods for the detection of bio-terrorism events: firstly, these methods aggregate over space by examining total counts and thus ignore the spatial dimension of the task and secondly they fail to adjust for the usual (seasonal) behaviour of diseases (e.g., Steiner et al., 2011 where the focus is early detection of the start of ...