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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 11, Issue:7, July, 2022

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com /
submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2022.11(7): 186-198
DOI: https://doi.org/10.20546/ijcmas.2022.1107.023


Role of Whonet Software Beyond Antimicrobial Resistance in Clinical Microbiology
Vasuki Raman*, Dhanapaul Sankara and Arunkumar Udayakumar
Department of Microbiology, Karpaga Vinayaga Institute of Medical Sciences and Research Centre, Maduranthakam, Chengalpat District-603308, India
*Corresponding author
Abstract:

Whonet software introduced by WHO for surveillance of antimicrobial resistance. The scope of the study is that incorporation of quality control alerts in the software which leads to minimal laboratory errors, provides the clinicians therapeutic comments about antimicrobial therapy. Real time data entry of patient, sample details, microscopy and the culture workup were also entered. The antimicrobial susceptibility test results were fed directly in the Whonet software with a digital calliper. A scatter plot, a two-dimensional graph in which the points corresponding to two related or unrelated drugs were graphed and observed for positive and negative correlation of resistance pattern. Each antimicrobial was compared with all the other antimicrobials for cross resistance pattern and a consolidated checker-board table was created for all scatterplots. Whonet is used for the comparison of NS1 antigen with IgM antibody test results and thereby enabling the laboratory to get the feedback for the dengue testing policy regarding the need for NS1 antigen or IgM antibody or both. This software is more than a laboratory information system, that helps the laboratory technologist for proper documentation and reporting.


Keywords: Whonet, antimicrobial resistance surveillance, antimicrobial Susceptibility Test

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How to cite this article:

Vasuki Raman, Dhanapaul Sankara and Arunkumar Udayakumar. 2022. Role of Whonet Software Beyond Antimicrobial Resistance in Clinical Microbiology.Int.J.Curr.Microbiol.App.Sci. 11(7): 186-198. doi: https://doi.org/10.20546/ijcmas.2022.1107.023
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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