- Poster presentation
- Open Access
Implementing an Euregional databasis webtool for transborder surveillance of notifiable infectious diseases
© Jurke et al; licensee BioMed Central Ltd. 2015
Published: 16 June 2015
There are surveillance data on notifiable infectious diseases at the European level. Despite the increasing cross-border mobility, there is no structure for the timely exchange of data on notifiable infectious diseases to date. Hence we need regional data for joint transborder action in infection control.
A webtool facilitating the transborder cooperation of public health stakeholders in infection control was developed in the Dutch German EurSafety Health-net project (http://www.eursafety.eu). Comparing the infectious disease reporting systems of The Netherlands and Germany we determined which routine data are available based on comparable case definitions on both sides of the border.
Routine data on 11 notifiable infectious disease (hepatitis A, hepatitis B, hantavirus-infection, legionellosis, leptospirosis, listeriosis, measles, menigococcal disease, paratyphus, ornitosis, q-fever) can be imported i.e. weekly in the pilot euregional database tool. Based on historical data expected values are calculated. The deviation of current values from the expected ones (z-values) can be visualized, which may indicate clusters of infections.
For the first time infectious disease specialists of the public health services on both sides of the border can monitor the 11 notifiable infectious diseases of the border region up to the level of the local public health services in a joint system. In case of unusual cluster of notified infections they can quick contact each other to investigate the outbreak by a joint analytic study and close the uncommon source of infections.
Surveillance of notifiable infectious diseases is developed in Europe at country level. Especially in border regions we timely need these data on regional level for transborder infection control. Useful surveillance of infectious diseases for transborder infection control can be based on routine notification data, standard software technology and should be easy to use and to maintain.
Disclosure of interest
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.