The Open UniversitySkip to content

The European Sero-Epidemiology Network: standardizing the enzyme immunoassay results for measles, mumps and rubella

Andrews, N.; Pebody, R. G; Berbers, G.; Blondeau, C.; Crovari, P.; Davidkin, I.; Farrington, P.; Fievet-Groyne, F.; Gabutti, G.; Gerike, E.; Giordano, C; Hesketh, L.; Marzec, T.; Morgan-Capner, P.; Osborne, K.; Pleisner, A. M.; Raux, M.; Tischer, A.; Ruden, U.; Valle, M. and Miller, E. (2000). The European Sero-Epidemiology Network: standardizing the enzyme immunoassay results for measles, mumps and rubella. Epidemiology and Infection, 125(1) pp. 127–143.

Google Scholar: Look up in Google Scholar


The ESEN (European Sero-Epidemiology Network) project was established to harmonize the seroepidemiology of five vaccine preventable infections including measles, mumps and rubella in eight European countries. This involved achieving comparability both in the assay results from testing in different centres and also sampling methodology. Standardization of enzyme immunoassay results was achieved through the development of common panels of sera by designated reference centres. The panels were tested at the reference laboratory and then distributed to each participating laboratory for testing using their routine methods. Standardization equations were calculated by regressing the quantitative results against those of the reference laboratory. Our study found large differences in unitage between participants, despite all using an EIA method standardized against an international or local standard. Moreover, our methodology adjusted for this difference. These standardization equations will be used to convert the results of main serosurvey testing into the reference country unitage to ensure inter-country comparability.

Item Type: Journal Article
Copyright Holders: 2000 Cambridge University Press
ISSN: 0950-2688
Project Funding Details:
Funded Project NameProject IDFunding Body
Not SetNot SetDG X11 of the European Union [PL95-1039]
Academic Unit/Department: Mathematics, Computing and Technology > Mathematics and Statistics
Item ID: 23407
Depositing User: Sarah Frain
Date Deposited: 04 Apr 2011 13:59
Last Modified: 04 Apr 2011 13:59
Share this page:

▼ Automated document suggestions from open access sources

Actions (login may be required)

Policies | Disclaimer

© The Open University   + 44 (0)870 333 4340