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AMASS version 3.0 is now available to download

AMASS v3.0 additionally generates reports on cluster signals and improves algorithms from the previous version

The current version of the AMASS application provides the updates including.


1. Annex C: Cluster signals. This annex shows potential clusters of patients with AMR infection identified using the SaTScan (

2. Leave processed (i.e. de-duplicated and/or merged) data files for any further analysis and internal use after using the AMASS.;

3. Enterococcus faecalis and E. faecium have been explicitly included in the pathogens under the survey;

4. Add a few antibiotics in the list of antibiotics for a few pathogens under the survey;

5. Improve algorithms for supporting more several date formats, data file translation, a larger data se , and Data_verification_logfile report;

6. Used only Python rather than R + Python (as used in the AMASSv2.0);

7. Set a default config for infection origin stratification by allowing a specimen collected two calendar days before the hospital admission date and one day after the hospital discharge date into consideration. This config supports the real-world setting that several hospitals in LMICs (particularly Thailand) have patients stay in the hospital (e.g. at ER) due to many limitations before official admissions can be made.;

8. Improve the algorithm to include patients who were not yet discharged from the hospital (i.e. having no discharge dates yet) in the analysis by truncating at the last date of specimen date in the whole data set (usually at the end of the year [e.g. 31 Dec] or the survey period). This algorithm improve the ‘bed-days at risk’ and ‘bed-days at risk for hospital-origin infection’ to be precisely estimated.


AMASS version 3.0 (BETA) updated to build 3026.

The current version of the AMASS application (version 3.0 (BETA)) is updated to fix some minor bug as well as adding following functionalities.

- Support display Thai charectors.

- Add Table S10A and S10B to display list of data values and variable recorded for "ward" in microbiology data file and hospital admission data file.