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This webinar is an introduction to the WHONET data analysis features including %RIS analysis, antibiograms, isolate listings and summaries, multidrug resistance analyses, and statistical outbreak detection. We will discuss the impact of bias on estimates of disease burden, resistance, and implications for data use and recommendations. Topics will also include "interactive data analysis" and "automated data analysis", as well as a brief introduction to public health reporting to the WHO GLASS and FAO InFARM platforms.
The session should be especially valuable for people with no previous experience with the WHONET software and for people who want a basic refresher. The tools and materials should be valuable for laboratory and pharmacy staff, infection disease and infection control professionals, IT and epidemiology staff, and national policymakers in the human, animal, food, and environmental sectors. This is an open meeting, so we recommend that you share the invitation with colleagues and partners that you think might be interested.
Agenda:
Topics covered in this webinar will include:
| Webinar recording | Powerpoint slides |
|---|---|
| YouTube |
Introduction to WHONET
Data analysis |
This webinar is an introduction to the WHONET software and the steps needed to get started including installation, laboratory configuration, and data entry. The session should be especially valuable for people with no previous experience with the WHONET software and for people who want a basic refresher. The focus of the subsequent webinar in November or December will be an introduction to data analysis, interpretation, and public health reporting.
These sessions would be relevant for laboratory and pharmacy staff, infection disease and infection control professionals, and IT and epidemiology staff. We will cover data management for surveillance of resistance in the human, animal, food, and environmental sectors.
Topics covered in this webinar will include:
| Webinar recording | Powerpoint slides |
|---|---|
| YouTube | Introduction to WHONET |
WHONET 2024 was recently released, incorporating the latest CLSI and EUCAST breakpoints. The purpose of this call was to update WHONET users on new software data management, analysis, and reporting features, as well as new activities and directions for WHONET software development, technical support, and communication.
Topics covered in this webinar include:
| Webinar recording | Powerpoint slides | Additional resources |
|---|---|---|
| YouTube | WHONET 2024 Launch | WHONET Discussion Forum - Getting started |
One of the most important uses of laboratory data is the detection of (and response to) possible disease outbreaks in real time. In this session, we will discuss the integration of the free cluster detection software SaTScan (SaTScan.org) within WHONET and the SaTScan features used in WHONET for the detection of case clusters in the community and hospital settings. Statistically significant case clusters may be due to infectious disease outbreaks, but there can also be other reasons, such as contamination of samples, contamination of laboratory materials, quality of test reagents, changes in sampling or testing practices, changes in patient populations served, or random variation in the baseline data.
There will be a brief review of the material presented in Part 1 of this webinar followed by deeper discussion of data preparation, priority analysis parameters, and strategies for assessment and validation of statistical signals. Topics covered in this second session will include:
| Webinar recording | Powerpoint slides |
|---|---|
| YouTube | WHONET-SaTScan CLUSTER/Outbreak Detection Presentation - Part 2 |
One of the most important uses of laboratory data is the detection of (and response) to possible disease outbreaks in real time. In this session, we will discuss the integration of the free cluster detection software SaTScan (SaTScan.org) within WHONET and the SaTScan features used in WHONET for the detection of case clusters in the community and hospital settings. Statistically significant case clusters may be due to infectious disease outbreaks, but there can also be other reasons, such as contamination of samples, contamination of laboratory materials, quality of test reagents, changes in sampling or testing practices, changes in patient populations served, or random variation in the baseline data.
We will review the various analysis parameters within WHONET-SaTScan available to the data analyst, as well as show examples from the published literature where WHONET-SaTScan has been utilized for the detection of community and hospital outbreaks. This session will serve as an introduction to the topic of cluster detection with WHONET-SaTScan. Future webinars will dive more deeply into optimization of algorithms, validation of results, and other statistical models for cluster detection. Topics covered in this first session will include:
| Webinar recording | Powerpoint slides |
|---|---|
| YouTube | WHONET-SaTScan CLUSTER/Outbreak Detection Presentation |
The most common use of antimicrobial susceptibility test data is the presentation of statistics for individual antibiotics, for example 80% of Escherichia coli in a dataset might be resistant to ampicillin, but only 5% resistant to imipenem. But there is additional value is studying isolates from the perspective of “multidrug resistance” (MDR). There are important implications for treatment guidelines – for example, one isolate of MRSA may be resistant to penicillin and oxacillin alone, but another MRSA isolate could be resistant to penicillin, oxacillin, ciprofloxacin, erythromycin, and clindamycin. For the second isolate, there would be fewer treatment alternatives available for use by clinicians. The monitoring of multidrug resistance profiles also has important applications for the recognition, tracking, and containment of resistance threats, such as hospital, community, and foodborne outbreaks by multi-resistant pathogens.
The focus of this webinar will be exploring the therapeutic and public health importance of multidrug resistance, as well as WHONET’s features for categorizing, tracking, and alerting multidrug resistant microbial subpopulations. We will also cover analyses of MDR as a tool for data quality assessment. Topics to include:
| Webinar recording | Powerpoint slides | Additional resources |
|---|---|---|
| YouTube | WHONET and Multidrug Resistance presentation | ECDC MDR, XDR, PDR defintions (2012 paper) |
WHONET macros and reports are valuable analysis features that permit the convenient repetition of previous analyses with new data files. The data analyst may wish to prepare standard Excel or Word reports on a daily, weekly, monthly, quarterly, or yearly basis. The analyst may also wish to customize specialized reports that can be shared with laboratory staff, pharmacists, infection control personnel, epidemiologists, national stakeholders, and others.
This webinar covers the following related points:
| Webinar recording | Powerpoint slides | Additional resources |
|---|---|---|
| YouTube | Macros and Quick Analysis presentation |
Epidemiology report
Test practies and quality report |
The World Health Organization's (WHO) Global Antimicrobial Resistance and Use Surveillance System (GLASS) offers a number of reporting modules for antimicrobial resistance and use. In this webinar, we will discuss the WHO GLASS-AMR module for national annual aggregate statistics on antimicrobial resistance in priority pathogens and specimen types. WHONET greatly simplifies the process of generating the data files needed by national data managers for submission to the new WHO GLASS 2.0 online platform, which is based on the DHIS2 web application.
This webinar covers the following related points:
| Webinar recording | Powerpoint slides | Additional resources |
|---|---|---|
| YouTube |
WHONET-WHO GLASS presentation
WHO GLASS-AMR presentation |
WHO GLASS resources and manual |