@article{MTMT:35258850,
	title = {Holistic risk assessments of food systems},
	url = {https://m2.mtmt.hu/api/publication/35258850},
	author = {Országh, Erika and De Matteu Monteiro, Constanza and Pires, Sara M. and Józwiak, Ákos Bernard and Marette, Stéphan and Membré, Jeanne-Marie and Feliciano, Rodney J.},
	doi = {10.1016/j.gfs.2024.100802},
	journal-iso = {GLOBAL FOOD SECURITY},
	journal = {GLOBAL FOOD SECURITY-AGRICULTURE POLICY ECONOMICS AND ENVIRONMENT},
	volume = {43},
	unique-id = {35258850},
	issn = {2211-9124},
	year = {2024},
	eissn = {2211-9124},
	pages = {100802},
	orcid-numbers = {Membré, Jeanne-Marie/0000-0001-6751-4426}
}

@article{MTMT:33812357,
	title = {Emerging risk identification in the food chain – A systematic procedure and data analytical options},
	url = {https://m2.mtmt.hu/api/publication/33812357},
	author = {Farkas, Zsuzsa and Országh, Erika and Engelhardt, Tekla and Zentai, Andrea and Süth, Miklós and Csorba, Szilveszter and Józwiak, Ákos Bernard},
	doi = {10.1016/j.ifset.2023.103366},
	journal-iso = {INNOV FOOD SCI EMERG},
	journal = {INNOVATIVE FOOD SCIENCE & EMERGING TECHNOLOGIES},
	volume = {86},
	unique-id = {33812357},
	issn = {1466-8564},
	abstract = {Systematic screening for risks emerging in the food chain is essential for the protection of consumer health, however, timely identification of risks is not a trivial task because of the data and information gaps. By creating automated or semi-automated algorithms, a large amount of information can be pre-processed which helps experts to filter for the actual emerging risks that need further assessment. The present study gives an overview on the possible data analytical approaches that can be used for emerging risk screening and presents a practically applicable process management system. By using these methods, 58 emerging risks classified into 10 topics have been identified in 2020 and 2021 with the focus on Hungary and the European Union. The main goal is to aid authorities and industry in preparedness and timely acting to avoid or mitigate future risks. Experiences and limitations of the system and future directions are also presented. © 2023 The Authors},
	keywords = {risk assessment; data analysis; automation; Information Management; food chain; Health risks; Early warning; Early warning; risk identification; Consumer protection; Consumer healths; Data gap; emerging risk identification; emerging risk identification; Food chain risks; Process management system; Food chain risk; Identification of risks; Process management systems; Timely identification},
	year = {2023},
	eissn = {1878-5522},
	orcid-numbers = {Csorba, Szilveszter/0000-0002-2238-4469}
}

@article{MTMT:33558569,
	title = {Emerging risk identification by applying data analytical tools},
	url = {https://m2.mtmt.hu/api/publication/33558569},
	author = {Palmas, Elisa and Engelhardt, Tekla and Farkas, Zsuzsa and Csorba, Szilveszter and Országh, Erika and Józwiak, Ákos Bernard},
	doi = {10.2903/j.efsa.2022.e200913},
	journal-iso = {EFSA J},
	journal = {EFSA JOURNAL},
	volume = {20},
	unique-id = {33558569},
	abstract = {The working programme 'Emerging risk identification by applying data analytical tools' was delivered by the Digital Food Chain Education, Research, Development, and Innovation Institute (Digital Food Institute, DFI) on the field of emerging risks at the University of Veterinary Medicine Budapest, Hungary. The Institute is the University's research and education unit that provides data analysis and research along the whole food chain and takes networking in this area to a new level. The Fellow joined the hub of experts and researchers in the field of food chain safety data analysis, responsible for protecting public health concerning food in Hungary. The programme consisted of several different activities to provide an overview of the different tools that can be employed in the emerging risk identification process and prepare various stakeholders for new food chain safety issues. The programme was split into four modules to run over the one-year fellowship covering different areas of data analysis and emerging risk identification. The aim was to be fully integrated with the organisation's work experience, increase knowledge of scientific aspects relevant in the field of data analysis and visualisation tools in the emerging risk identification area, and implement the results into various EU stakeholders' environments assessments.},
	keywords = {data analysis; visualisation tool; emerging risk identification},
	year = {2022},
	eissn = {1831-4732},
	orcid-numbers = {Csorba, Szilveszter/0000-0002-2238-4469}
}

@article{MTMT:32644330,
	title = {A Systematic Review of the Efficacy of Interventions to Control Aflatoxins in the Dairy Production Chain—Feed Production and Animal Feeding Interventions},
	url = {https://m2.mtmt.hu/api/publication/32644330},
	author = {Farkas, Zsuzsa and Országh, Erika and Engelhardt, Tekla and Csorba, Szilveszter and Kerekes, Kata and Zentai, Andrea and Süth, Miklós and Nagy, A and Miklós, Gabriella and Molnár, Krisztina and Rácz, Csaba and Dövényi-Nagy, Tamás and Ambrus, Árpád and Győri, Zoltán and Dobos, Attila Csaba and Pusztahelyi, Tünde and Pócsi, István and Józwiak, Ákos Bernard},
	doi = {10.3390/toxins14020115},
	journal-iso = {TOXINS},
	journal = {TOXINS},
	volume = {14},
	unique-id = {32644330},
	issn = {2072-6651},
	year = {2022},
	eissn = {2072-6651},
	orcid-numbers = {Csorba, Szilveszter/0000-0002-2238-4469; Molnár, Krisztina/0000-0001-6203-6154; Rácz, Csaba/0000-0002-0307-6508; Dobos, Attila Csaba/0000-0001-7904-2155; Pusztahelyi, Tünde/0000-0002-5495-6273}
}

@article{MTMT:32289690,
	title = {Az egészségügyi technológiaértékelés és kockázat-haszon elemzés alkalmazási lehetőségei az élelmiszerlánc-biztonság területén. Áttekintés},
	url = {https://m2.mtmt.hu/api/publication/32289690},
	author = {Országh, Erika and Józwiak, Ákos Bernard and Süth, Miklós and Micsinai, Adrienn and Urbányi, Béla and Vokó, Zoltán and Kaló, Zoltán and Pitter, János György},
	journal-iso = {MAGY ALLATORVOSOK},
	journal = {MAGYAR ÁLLATORVOSOK LAPJA},
	volume = {143},
	unique-id = {32289690},
	issn = {0025-004X},
	year = {2021},
	pages = {625-640},
	orcid-numbers = {Vokó, Zoltán/0000-0002-1004-1848; Kaló, Zoltán/0000-0001-7762-2607; Pitter, János György/0000-0002-6784-9215}
}

@article{MTMT:31523935,
	title = {Retrospective cost-utility analysis of the Non-typhoidal Salmonella control programme in Hungary},
	url = {https://m2.mtmt.hu/api/publication/31523935},
	author = {Országh, Erika and Pitter, János György and Kaló, Zoltán and Vokó, Zoltán and Józwiak, Ákos Bernard},
	doi = {10.1016/j.foodcont.2020.107529},
	journal-iso = {FOOD CONTROL},
	journal = {FOOD CONTROL},
	volume = {120},
	unique-id = {31523935},
	issn = {0956-7135},
	abstract = {Salmonellosis is one of the most important foodborne infections in the European Union (EU), causing more than 90,000 human salmonellosis cases with an overall economic burden of 3 billion Euro annually (EFSA, 2014). Salmonella enterica serovar Enteritidis (S. Enteritidis or SE) and Salmonella enterica serovar Typhimurium (S. Typhimurium or ST) are the most pathogenic serotypes, also the most frequently reported serovars in humans in the EU. To fight against zoonotic diseases, including Salmonella, the EU established an extended control programme (Regulation (EC) No 2160/2003) that was launched in 2007. The cost-effectiveness of the control programme has not been examined at EU-level and there are only a limited number of national assessments available in the subject. The authors of the present paper conducted a retrospective cost-utility analysis of the Hungarian Salmonella Control Programme (HSCP) for the years 2007–2017. Costs and outcomes were considered from the state's perspective. Country-specific cost of illness estimates and a quality-adjusted life year (QALY) -based burden estimate have been developed for human salmonellosis cases. The programme's results were compared to a reference arm where incidence, hospitalization and mortality rates were extrapolated after 2007 by adjusting for the slight annual changes in population demographics, as if no control measures had been introduced in Hungary. The incremental cost-effectiveness ratio (ICER) was calculated and compared to the national health technology assessment (HTA) threshold, defined as 3xGDP per capita (EMMI, 2017). Since the calculated ICER value (27,150 EUR/QALY gain) was below the threshold (35,790 EUR/QALY gain), the HSCP was found to be cost-effective for the investigated time period. The analysis can serve as a model to carry out further analyses in relation to other pathogens or interventions and help the priority setting and decision-making processes of food safety in Hungary. Further discussion is needed on methodological questions, such as the perspective of the analysis or the inclusion or exclusion of various cost types.},
	keywords = {food control; Health technology assessment; Cost-utility analysis; QALY; Foodborne disease; Salmonella spp.},
	year = {2021},
	eissn = {1873-7129},
	orcid-numbers = {Pitter, János György/0000-0002-6784-9215; Kaló, Zoltán/0000-0001-7762-2607; Vokó, Zoltán/0000-0002-1004-1848}
}