NATIONAL LABORATORY FOR HEALTH SECURITY, HUNGARY
The vision of the National Laboratory is to provide the scientific basis for data and analysis-based decision making in the fields of health, disease control and ecosystems in Hungary. The three areas are closely intertwined and new synergies will be created through surveillance, big data methods and modelling.
NEWS

Nyári kullancskalauz
A nyári hónapok sokak számára a kikapcsolódásról, utazásról és a természetben eltöltött időről szólnak, ilyenkor gyakran túrázunk, piknikezünk, sátrazunk fesztiválokon vagy pihenünk egy csendes tóparton. A szabadtéri élmények azonban nemcsak kellemes emlékeket tartogathatnak, hanem bizonyos kockázatokat is rejtenek. Ilyenkor rendszeresen felmerül a kérdés: hogyan védekezhetünk a kullancsok ellen, és mit tegyünk, ha mégis találkozunk eggyel? A közhiedelemmel ellentétben nem a

Mosquito-borne heartworm disease in dogs is on the rise, but there is a solution
Heartworm disease, caused by a filarial nematode (Dirofilaria immitis) is an increasingly serious animal health problem for dogs in Hungary. This mosquito-borne disease can cause serious conditions if left untreated, and its incidence has clearly increased in recent years. The summer period – especially during dog walks and hikes – carries an increased risk, as mosquitoes are most active at this time of the year. That is why it is important for owners to keep their dogs on preventive medication

Célkeresztben a nyestkutya: kameracsapdás vadászat a Bodrog mentén
A nyestkutya (Nyctereutes procyonoides) a kutyafélék családjába tartozó, Kelet-Ázsiában őshonos faj, mely szerepel a legtöbb problémát jelentő idegenhonos fajok között Európában (EU regulation 1143/2014). Ezt az inváziós ragadozót a XX. század közepén hozták be Európába, elsősorban a prémje miatt. Napjainkra Észak-, Kelet- és Közép-Európában széleskörben elterjedt. Hazai állománya – a terítékadatok alapján – ugyan önmagában nem jelentős (éves szinten kevesebb,
Divisions
Our work integrates the competences of various disciplines through the application of mathematical methods for modelling infectious diseases: mathematics, epidemiology, biostatistics, data science, network science, medicine, systems biology, control theory, computer science, quantitative social sciences. We support preparedness, strategic planning, rapid response, and evidence informed decision making in health emergency through innovative surveillance systems and data guided analysis.
The goal the Division of Invasion Biology is to provide a coherent approach across disciplines to tackle the challenges of invasive species. With a particular focus on species that play a key nature conservation, economic or societal role, it will
i) document and continuously monitor invasion,
ii) understand the mechanisms behind invasion,
iii-iv) explore the ecological, social and economic impacts of invasion,
v) predict invasion processes, and
vi) test and develop methods for control of invasive species.
Division of Data-Driven Health
The Data-Driven Health Division is the domestic methodological hub for the globally trending shift to a data-driven healthcare paradigm.
Our primary objective is to promote the development of data-driven healthcare and artificial intelligence solutions in Hungary, with the driving force being our unique nationwide database integration solution on a global scale. Within our division, we focus on the development of artificial intelligence development, data mining frameworks, and on the establishment of decision support information systems. The collaborative social innovation work is implemented in partnership with Rényi Mathematical Research Institute and Neumann Not-for-profit Ltd.
Centre for Eco-Epidemiology
Our research aims to prevent infectious diseases emerging due to climate change and urbanization. We use the DAMA (Document, Assess, Monitor, Act) protocol to map the occurrence and risks of zoonotic pathogens spread by ticks in Hungary, and help prevent them. Our work ranges from ecological field activities to molecular biological technologies to sophisticated bioinformatics and epidemiological methods, but we also involve voluntary citizen science participants.