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Describes the history and translational implications of an emerging public health problem, the abuse of synthetic cannabinoids, especially how legitimate research findings “hijacked” for illegitimate purposes can present health threats.
Finds that optimal mattress firmness varies among individuals and is reflected, at least to a degree, by overnight motion.
Reveals shortcomings of the traditional database normalization methods with respect to the prevention of common data anomalies, and offers practitioners useful techniques for improving data quality.
Discusses three established software engineering practices—the iterative software development process, object-oriented methodology, and unified modeling language—and the applicability of these practices to computational model development.
Finds that mattress firmness has statistically significant effects on both sleep and daytime functioning and that individuals varied widely in the mattress that optimized their sleep.
Reviews methods to synthesize data on group quarters residents to match US Census Bureau data.
Suggests that interviewer appearance may have a biasing effect on reports in virtual-world surveys—and perhaps in real-world surveys.
Using conjoint analysis to estimate values for stated preferences for economic damages is assessed in analyses relating to the Exxon Valdez oil spill.
Describes the IT infrastructure and health information exchange system software developed for the International Consortium for Applied Radiation Research project.
Agent-based disease models simulate epidemics by assigning transmission probabilities based on family, workplace, school, and public transportation.
Describes a model that helps allocate resources to help save water, increase utility revenues, expand coverage, and reduce health and economic impacts.
Assessing the effect of a combined malaria prevention education and free insecticide-treated bed nets program on self-reported malaria among children in a conflict-affected setting in Northern Uganda
Examines whether malaria prevention education is associated with reduced malaria disease burden among children < 5 years residing in conflict-affected settings in Northern Uganda.
Incorporating neuroscience principles and techniques, such as fMRI, into research on the prevention of substance misuse and antisocial behavior may spur advances and innovations in this important area.
Electronic medical records (EMRs) benefit health systems, especially in low-income developing countries. EMR systems can give medical personnel access to patients’ records and can reduce time needed for data management and record keeping....
Summarizes the findings of a recent evaluation of the National Institute for Occupational Safety and Health (NIOSH) Fire Fighter Fatality Investigation and Prevention Program (FFFIPP).
Acceptance, communication mode, and use of audio computer-assisted self- interviewing using touch screen to identify risk factors among pregnant minority women
Evaluates the acceptability, communication mode, and use of ACASI among minority pregnant women receiving prenatal care in six Washington, DC, sites.
Describes a protocol for the rapid identification and quantitation of fungi by quantitative real-time polymerase chain reaction (qPCR) in carpet.
Using geographic information systems to define and map commuting patterns as inputs to agent-based models
Describes methods to develop georeferenced commuting patterns to characterize the work-related movement of US populations and help agent-based modelers predict workplace contacts that result in disease transmission.
Describes both the methods used to generate the synthesized population database and the final data structure and data content of the database.
Compares the features of the web-based data management system (DMS) used for GirlTalk with those of a personal computer-based DMS.
Provides guidance on which techniques work best under different data conditions and makes recommendations for choosing among various techniques when analyzing data from a pre-test/post-test nonrandomized study.
A target-based model of efficient allocation of federal resources to the states for emergency preparedness
Develops a rational public finance framework for distributing federal money to states for protecting against terrorist attacks.
Describes opportunity assessment methods and matches methods to user types in public and private-sector organizations in analyzing technical, business, and market information for investment and commercialization decisions.
Using a model-aided sampling paradigm instead of a traditional sampling paradigm in a nationally representative establishment survey
Findings suggest that a model-based approach offers advantages over the traditional sampling approach; however, a hybrid approach capturing the advantages of both paradigms proved best.