External quality assurance scheme for Neisseria meningitidis, 2012
ECDC promotes the performance of external quality assurance (EQA) schemes, in which laboratories are sent simulated clinical specimens or bacterial isolates for testing by routine and/or reference laboratory methods.
In May 2012, a collection of three viable isolates of N. meningitidis of the major disease-causing serogroups (A, B and C), together with four simulated blood (non-culture) samples for molecular studies, was sent to 29 reference laboratories.
The EQA performance showed that European meningococcus reference laboratories differ in their capacities and level of characterisation of the distributed N. meningitidis material, but that there have been improvements since the first ECDC IBD-labnet distribution.
The results of the IBD-labnet EQA exercise proved that a regular EQA scheme for reference laboratories is required in order to maintain the movement towards improved quality of molecular epidemiological reports.
Community engagement and institutional collaboration during outbreaks of Shiga toxin/verocytotoxin-producing Escherichia coli in Ireland
19 Nov 2019 - This country visit report presents the findings of a case study into outbreaks of Shiga toxin/verocytotoxin-producing Escherichia coli (STEC/VTEC) at childcare facilities in Ireland, conducted in November 2018.
Community engagement and institutional collaboration in Iceland during a norovirus outbreak at an outdoor/scout centre (10–15 August 2017)
19 Nov 2019 - This country visit report presents the findings of a case study into an outbreak of norovirus in Iceland that occurred during the period 10–15 August 2017.
A spatial modelling method for vector surveillance
14 Nov 2019 - Vector borne diseases are a specific group of infectious diseases that are a (re-)emerging threat to Europe. One important aspect of preparedness for vector borne diseases is the surveillance of the introduction, establishment and spread of the main disease vectors. ECDC regularly publishes updated vector distribution maps at the NUTS3 level. This document describes a methodology to estimate the vector distribution status for those NUTS3 units for which observations are not yet available . These estimates are produced with spatial modelling techniques, using the currently available distributions to calibrate the modelling process. This document provides an overview of gap analysis procedures, sets out the full methodology, and also provide s details of which methodological components were used with each output provided.