January 2008 Archives

School-Associated Student Homicides --- United States, 1992--2006

School-associated student homicide events, especially those involving multiple victims, generate considerable media attention, prompting questions regarding whether rates of school-associated violent deaths are increasing and regarding the characteristics of such events. During the 1990s, the rate of school-associated single-victim student homicides decreased significantly, whereas rates for school-associated homicides in which two or more students were killed (i.e., multiple-victim homicides) increased (1).

Additional studies of such events during the same decade documented the rarity of lethal school-associated violence (2,3). To 1) update temporal trends in rates for school-associated student homicides during July 1992--June 2006 and 2) describe the epidemiologic characteristics of school-associated student homicides that occurred during July 1999--June 2006 (the period for which the most recent data are available), CDC analyzed data from the School-Associated Violent Death (SAVD) study.

This report describes the results of that analysis, which indicated that rates of school-associated student homicides decreased during the overall period, July 1992--June 2006, but stabilized during July 1999--June 2006, when 116 students were killed in 109 school-associated homicide events. Although school-associated student homicides are rare and represent approximately 1% of homicides that occur among school-age youths, schools should expand use of comprehensive measures to prevent behaviors that often precede fatal violence.

USDA State Fact Sheets

State Fact Sheets

State fact sheets provide information on population, employment, income, farm characteristics, farm financial indicators, and top commodities, exports, and counties for each state in the United States.

BioConductor

Bioconductor is

"an open source and open development software project for the analysis and comprehension of genomic data...Bioconductor is primarily based on the R programming language but we do accept contributions in any programming language. There are two releases of Bioconductor every year (they appear shortly after the corresponding R release). At any one time there is a release version, which corresponds to the released version of R, and a development version, which corresponds to the development version of R. Most users will find the release version appropriate for their needs. In addition there are a large number of meta-data packages available. They are mainly, but not solely oriented towards different types of microarrays...Although initial efforts focused primarily on DNA microarray data analysis, many of the software tools are general and can be used broadly for the analysis of genomic data, such as SAGE, sequence, or SNP data."

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