Skip to content
2000
Volume 9, Issue 12
  • ISSN: 1381-6128
  • E-ISSN: 1873-4286

Abstract

Establishing local, national, and global surveillance networks for monitoring the dissemination of antimicrobial resistance and detecting the emergence of new resistance mechanisms has been recommended by the American Society for Microbiology Task Force on Antibiotic Resistance and other national organizations. While the need to develop and deploy surveillance strategies cannot be argued, the design and implementation of effective regional, national, and global surveillance networks is a daunting task with geographic, participatory, logistic, and funding challenges. Using information technology to capture, combine, collate, and analyze daily clinical microbiology laboratory data would seem to be a far more robust and logical approach to surveillance than traditional centralized studies that generally focus on only a few bacterial species or on isolates from a single body site. Information technology allows long-term, continuous tracking of antimicrobial resistance trends among large numbers of isolates over a broad range of species, and across entire regions or countries. The rationale for wanting to use networks of clinical laboratories for surveillance is obvious: susceptibility data are generated every day by thousands of laboratories located around the world, and most of these laboratories perform antimicrobial susceptibility testing on the bacterial species that pose the greatest public health problems. By virtue of information technology, large volumes of data can readily be managed and stored to allow timely and thorough analysis on institutional, regional, national, and global levels.

Loading

Article metrics loading...

/content/journals/cpd/10.2174/1381612033455215
2003-05-01
2025-04-12
Loading full text...

Full text loading...

/content/journals/cpd/10.2174/1381612033455215
Loading
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error
Please enter a valid_number test