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Wavy Abstract Background

A series of investigations aimed at identifying the best way to measure TBE risk among humans.

Tick-borne encephalitis risk based on different data sources

Tick-borne encephalitis risk based on different data sources

I started this project during my Master of Science thesis in 2004, when I developed a model to predict tick-borne encephalitis (TBE) risk in Poland based on landscape, meteorologic and socio-demographic characteristics. In 2005-2017, I developed a series of investigations aimed at identifying the best way to measure TBE risk and especially how to improve surveillance. Within this project I evaluated the existing surveillance system, I implemented serological surveys of humans and household animals, collected representative pools of ticks to measure TBE virus prevalence in ticks, I evaluated clinical management of patients and vaccination programmes. Within this project I also carried out a unique nationwide case-control study of TBE risk factors. As a project closure, I fitted a powerful statistical model trying to predict TBE risk based on a set of landscape, meteorological and socio-demographic characterists measured at the lowest possible resolution. It was probably my most impactful contribution, which resulted in two theses, a dozen of peer-reviewed publications and some 30 presentations on peer-reviewed conferences.

Why does it matter?

These investigations can help in better monitoring of tick-borne encephalitis risk areas. When efficiently monitored, municipalities could offer vaccination to people at risk and GPs could offer vaccination to tourists visiting those areas.

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