What's new in WHONET 2022?

Below is a list of some of the main new features that we have incorporated in WHONET 2022. For a more detailed list of modifications for every major and minor release, you can view the Release notes.

General improvements

2022 CLSI and EUCAST breakpoints, expanded animal, specimen type, organism, antibiotic lists, and bug fixes.

We have upgraded the WHONET routines for interpreting antimicrobial susceptibility test (AST) zone diameter and MIC measurements into R, I, S interpretation categories, including the CLSI and EUCAST "Intrinsic Resistance", "Epidemiological Cutoff Value", and "Expert Interpretation Rule" tables. We believe that these new tables will be very valuable for developers of other microbiology laboratory information systems and data analysis systems. Doctors Without Borders (MSF) is already using the WHONET tables within their Mini-LIMS system. We believe that this could the beginning of a sustainable international collaborative approach for the reliable and convenient implementation and maintenance of AST interpretation rules. If you are interested in learning more about these new WHONET tables, please contact us for further information.

Using Amazon Web Services translations, WHONET now supports 45 languages. The completeness and quality of the translations does vary between languages, and we welcome your collaboration in completing and validating the translations. We are exploring with WHO possibilities for professional translations into the five other United Nations world languages (French, Spanish, Russian, Arabic, and Chinese) and also Portuguese.

Improvements in data analysis and reporting features

These reports automate dozens of individual WHONET analyses and combine their outputs into concise Word documents with text, graphics, and tables. There are currently three new reports available, and others are in development: Epidemiology report, Data quality and test practices report, and FAO animal health report.

  • Color-coding of zone and MIC tables to indicate resistant (red), intermediate (yellow), and susceptible (green) results. Also the inclusion of MIC test panel ranges and gray for "dilution not tested".
  • Automatic configuration of resistance profiles using local historical data. This is a new data-driven approach for the selection of antibiotics for WHONET's "Resistance profile" analysis. This is one of WHONET's most valuable analysis features, but it is underutilized because software users often do not recognize the need to configure the set of antimicrobials used to define multidrug resistance.
  • Additional algorithm and parameter setting options for the improved detection of hospital and community outbreaks using the SaTScan™ features integrated within WHONET.

  • WHO GLASS exports: In addition to the original WHO GLASS-AMR module, WHONET can now export to the new GLASS-Candidemia and GLASS-Individual modules. A new GLASS-EGASP data export option is currently in developlment.
  • DHIS2: DHIS2 is a web-based open-source system used in many countries primarily for public health surveillance but few groups have used DHIS2 for antimicrobial resistance surveillance. WHONET can now export aggregate statistics (DHIS2 Data Sets) and isolate-level data (DHIS2 Events) into XML and CSV files that can then be imported into DHIS2.

Improvements for One Health Surveillance

We have consolidated the previous WHO Test Hospital, AGISAR, GLASS, and E. coli TriCycle demonstration laboratories into a single WHO Test Laboratory with two sample data files - one with human data only and one with 100 isolates each of human, animal, food, and environmental origin. We are also expanding the WHONET tutorials, PowerPoints, and exercises to include human, animal, and integrated health surveillance examples.

  • With guidance from FAO, we have expanded the WHONET data field and code lists in compliance with the FAO AMR surveillance guidelines for healthy animals, diseased terrestrial animals, and diseased aquatic animals. This includes support for several Sensititre and MIC panels recommended by FAO.
  • We have created a new standard FAO AMR report in Microsoft Word. The content and text have not yet been finalized, but the draft report is already available in WHONET.
  • We will be piloting these new features and reports in countries selected by FAO in the months to come.

SILAB is a veterinary laboratory information system used in over 20 countries. We have been able to export data from SILAB into WHONET with subsequent display of charts, graphs, and maps within DHIS2.