<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Amber Van Laer</style></author><author><style face="normal" font="default" size="100%">Dieter Van Cauteren</style></author><author><style face="normal" font="default" size="100%">Ruben Brondeel</style></author><author><style face="normal" font="default" size="100%">Koen Blot</style></author><author><style face="normal" font="default" size="100%">Heleen Masset</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Towards a new (H)ERA: Developments to strengthen infectious diseases surveillance and pandemic preparedness</style></title><secondary-title><style face="normal" font="default" size="100%">Scientific seminar for Infectious Diseases</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">bioinformatics</style></keyword><keyword><style  face="normal" font="default" size="100%">Infectious diseases</style></keyword><keyword><style  face="normal" font="default" size="100%">national reference centres for human microbiology</style></keyword><keyword><style  face="normal" font="default" size="100%">Pandemic preparedness</style></keyword><keyword><style  face="normal" font="default" size="100%">public health</style></keyword><keyword><style  face="normal" font="default" size="100%">Surveillance</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2023</style></year><pub-dates><date><style  face="normal" font="default" size="100%">11/05/2023</style></date></pub-dates></dates><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;In order to achieve pandemic preparedness, a high capacity and interoperable infrastructure is crucial. Furthermore, the advent of Whole Genome Sequencing (WGS) in the field of microbiology allows for higher microbial subtyping. In combination with conventional testing and epidemiological data integrated genomic-epidemiological analyses can be performed. Therefore, we designed Be-HERA as an overarching architecture to strengthen the surveillance of infectious diseases&lt;/p&gt;
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