IRIS collects data about the strains causing respiratory infections caused by Streptococcus pneumoniae, Neisseria meningitidis, and Haemophilus influenzae in real time. Participating reference laboratories are requested to submit details of all isolates causing invasive disease enabling data to be shared for comparison.
The IRIS project has been set up as private datasets within the respective PubMLST databases of the pathogens collected. This enables the data to be analysed in the context of global public data.
Further details
The IRIS project has been set up by:
- Angela Brueggemann
- Mark van der Linden
- Martin Maiden
- Keith Jolley
- Melissa Jansen van Rensburg
We are collecting data from 2018-01-01.
Data sharing:
It is not possible to share IRIS study data because doing so would risk identifying individual cases of invasive disease in some countries. Please see the policy document for more details.
Get involved
- Participating reference laboratories will be able to view data from the whole dataset. These data are only available to participating laboratories.
- Even minimal isolate information may be valuable, so if only a serogroup assignment or non-culture diagnosis is available, please still submit.
- Submitters can modify their private records once submitted, for example to add further field values, or upload genomes. They can be easily made public and added to the main PubMLST datasets on request.
- You must be associated with a participating reference laboratory to participate. Please register for a PubMLST account and contact Keith Jolley for details.
- Data already submitted to the public datasets in PubMLST can be added to the IRIS project - please contact us to do this. Note that all records must have a value set for the date_sampled field which is an optional field in the public datasets. There is no need to duplicate data for inclusion in both IRIS and the public PubMLST datasets.
- Please see the IRIS policy document for more details.