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Biography

Ljiljana Majnaric Trtica is a specialist of family medicine and the assistant professor (PhD) in the Deparment of Family Medicine and Internal Medicine, School of Medicine, University JJ Strossmayer, Osijek, Croatia. She has also completed a postgraduate study in clinical immunology and allergology, School of Medicine, University of Zagreb. She published more than 20 papers (c/c, sci) and participated actively in more than 20 international conferences. Fields of interest: primary health care, ageing diseases, vaccination, immunology, systems biology.

Abstract

Measures planned to controll influenza epidemics/pandemics represent the global health challenges. To date, influenza vaccination, based on the annual revision of vaccine composition and global monitoring of circulating influenza virus strans, has been the commonly accepted approach. The evidence has been increasing on the need to establish an efficient and global surveillance system to collect data on vaccination campaigns and epidemics spread. This will enable data analysis and the feed-back on the outcomes. Such requirement arises from the several new concepts. They include biotechnology advances and new vaccines development, as well as the increased awareness on the variable efficacy of influenza vaccination in people of different demographic and health context. It is still not the vaccination of persons at high risk of influenza related complications that matters, it is the finding the best strategies of how to provide them protection. In addition, in the situation of the fastly growing health care expenditures and the huge progress in information technology and computer-based technicques, the need is increasing for more cost-efficient approaches in controlling influenza epidemics. Challenges, in order to justify vaccination, could be in modelling of both, influenza vaccination outcomes and epidemics evolution. Primary health care, as the main site where influenza vaccine doses have been dispersed, might be the central point for data collection and preparation for modelling. Challenges and opportunities in this regard, will be presented.