Sentence examples for computer contamination from inspiring English sources

The overall computer contamination rate of the above three organisms is 17.4% (49/282).

The computer contamination rate for A. baumannii was 4.3% (12/282) and the rate for MRSA was 1.1% (3/282) (Table 1).

We computed 2x2 contingency tables comparing the following physicians' assessments and computer algorithms: a) contamination vs. bloodstream infection; b) monomicrobial vs. polymicrobial bloodstream infection; c) community-onset vs. hospital-onset bloodstream infection; d) community-onset bloodstream infection: healthcare-association vs. no healthcare-association.

We defined a contamination computer episode using the criteria defined by Trick et al. [ 8], as detailed in Table 1.

One study reported that microbial contamination of computer interface surfaces was so prevalent that various microorganisms were isolated from more than 50% of the keyboards of hospital computers [ 5].

Additionally, offline software like cross_match [ 10] by Phil Green, SeqClean [ 11] and LUCY [ 12] from TIGR [ 13], or the online program VecScreen [ 14] available at NCBI [ 15] are popular computer programs for vector contamination detection and/or removal.

Most previous studies have reported the contamination of computer interface surfaces by potential pathogens such as Methicillin-resistant Staphylococcus aureus (MRSA) [ 3, 8]and Acinetobacter baumannii [ 9], but few have studied the relationship between contamination of the ward computers and clinical isolates in hospitals with improved hand hygiene compliance and during a non-outbreak period.

In a study using the physicians' supplementary variables as the gold standard, we assessed the validity of computer-derived algorithms for contamination versus bacteremic episodes, and among episodes of bacteremia, their acquisition (ie, community, health care-related, or nosocomial) and whether they were monomicrobial or polymicrobial.

The significant difference in the level of contamination of ward computers at different hospitals implies that computers can have very different roles as reservoirs of nosocomial pathogens.

Furthermore, no clinical correlation of contamination of these computer devices to clinical isolates was found.

For C. difficile, surfaces identified with the most contamination included chairs, computer keyboards, and heating oven handles.