Software

The microbiology laboratory database software

WHONET 2023

WHONET 2023 is a modernized and expanded version of WHONET 5.6. This version supports 44 languages and includes new features for exporting to the WHO GLASS data structure. Further information on GLASS can be found using this link.

It includes support for CLSI 2023 M100, M45, M60, M61, as well as EUCAST 2023 bacterial breakpoints. Also included are the most recent CLSI VET01, VET03/04, and VET06 breakpoints.

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32-bit installation (158 MB)
64-bit installation (158 MB)

Build date: 2024-03-12
Version: 23.15.12
Release notes

WHONET beta version

The beta version can be installed side-by-side with the standard distribution. This version is intended to preview new features and bug fixes before they are released in the standard package.

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32-bit Beta installation (155 MB)
64-bit Beta installation (155 MB)

Build date: 2023-04-25
Version: 23.4.25

WHONET Automation Tool


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32-bit installation (4.6 MB)
64-bit installation (4.6 MB)

Build date: 2022-07-19
Version: 22.7.19

The Automation Tool can be configured to execute an entire workflow of data processing, aggregation, and analysis steps. It includes optional services which either run on a set schedule, or are triggered in response to new files appearing in designated "watched" locations. You can configure any set of analyses you wish, from simple statistics to sophisticated outbreak detection. The system also has integrated process monitoring and email alerts for:

  • Missing input files
  • Duplicated input files
  • Lower- or higher-than-expected row counts
  • Lower- or higher-than-expected individual process runtimes
  • Duplicated row counts per institution on successive days
  • Error messages
  • Daily reports

WHONET 5.6

WHONET 5.6 is a desktop application with support for 24 languages and 2022 CLSI and EUCAST breakpoints.

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32-bit installation (60 MB)

Build date: 2022-07-18

AMR Interpretation Engine

The AMR Interpretation Engine is a standalone software which can interpret AMR measurements using CLSI and EUCAST breakpoints. The system also includes resource files which can be used independently of the interpretation system by 3rd parties.

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Any CPU (2 MB)

Build date: 2023-12-21

This project is published on GitHub at the following URL: GitHub - AMRIE