Time, place, and people: composition of the EPIET Alumni Network and its contribution to the European public health resource in 2013.

The EPIET Alumni Network (EAN) is an association of professionals who have completed field epidemiology or public health microbiology training programmes in the European Union. In 2013, we conducted a survey of EAN members to investigate this network's role within European public health. We distributed an online questionnaire to members registered at the time, collecting data on demographics, professional background, and attitudes towards EAN. Out of 362 registered members, 189 (52%) responded; 97% were from Europe; 65% were female. Their mean age was 39 years. The highest academic qualification was PhD for 44% and Master's degree for 55%. The majority (60%) worked in public health institutes. They were especially satisfied with having access to job offers and professional networking via EAN, but requested more learning opportunities and knowledge-sharing between members. EAN is a unique platform where highly skilled professionals can connect to control infectious diseases locally and internationally. Having a network of professionals that know each other, speak the same 'language', and can easily access each other's expertise, represents an important resource for European and global public health, which should be nurtured by encouraging more collaborations devoted to professional development.

A dynamic case definition is warranted for adequate notification in an extended epidemic setting: the Dutch Q fever outbreak 2007-2009 as exemplar.

Q fever is a notifiable disease in the Netherlands:laboratories are obliged to notify possible cases to the Municipal Health Services. These services then try to reconfirm cases with additional clinical and epidemiological data and provide anonymised reports to the national case register of notifiable diseases. Since the start of the 2007­2009 Dutch Q fever outbreak,notification rules remained unchanged, despite new laboratory insights and altered epidemiology. In this study, we retrospectively analysed how these changes influenced the proportion of laboratory-defined acute Q fever cases (confirmed, probable and possible)that were included in the national case register, during(2009) and after the outbreak (2010 and 2011).The number of laboratory-defined cases notified to the Municipal Health Services was 377 in 2009, 96 in 2010 and 50 in 2011. Of these, 186 (49.3%) in 2009, 12(12.5%) in 2010 and 9 (18.0%) in 2011 were confirmed as acute infection by laboratory interpretation. The proportion of laboratory-defined acute Q fever cases that was reconfirmed by the Municipal Health Services and that were included in the national case register decreased from 90% in 2009, to 22% and 24% in 2010 and 2011, respectively. The decrease was observed in all categories of cases, including those considered to be confirmed by laboratory criteria. Continued use ofa pre-outbreak case definition led to over-reporting of cases to the Municipal Health Services in the post-epidemic years. Therefore we recommend dynamic laboratory notification rules, by reviewing case definitions periodically in an ongoing epidemic, as in the Dutch Q fever outbreak.