TY - JOUR AU - Országh, Erika AU - De Matteu Monteiro, Constanza AU - Pires, Sara M. AU - Józwiak, Ákos Bernard AU - Marette, Stéphan AU - Membré, Jeanne-Marie AU - Feliciano, Rodney J. TI - Holistic risk assessments of food systems JF - GLOBAL FOOD SECURITY-AGRICULTURE POLICY ECONOMICS AND ENVIRONMENT J2 - GLOBAL FOOD SECURITY VL - 43 PY - 2024 SP - 100802 SN - 2211-9124 DO - 10.1016/j.gfs.2024.100802 UR - https://m2.mtmt.hu/api/publication/35258850 ID - 35258850 N1 - Nemzetközi együttműködésben született a közlemény. LA - English DB - MTMT ER - TY - JOUR AU - Farkas, Zsuzsa AU - Országh, Erika AU - Engelhardt, Tekla AU - Zentai, Andrea AU - Süth, Miklós AU - Csorba, Szilveszter AU - Józwiak, Ákos Bernard TI - Emerging risk identification in the food chain – A systematic procedure and data analytical options JF - INNOVATIVE FOOD SCIENCE & EMERGING TECHNOLOGIES J2 - INNOV FOOD SCI EMERG VL - 86 PY - 2023 SN - 1466-8564 DO - 10.1016/j.ifset.2023.103366 UR - https://m2.mtmt.hu/api/publication/33812357 ID - 33812357 N1 - University of Veterinary Medicine Budapest, Digital Food Institute, István utca 2., Budapest, H-1078, Hungary National Laboratory of Infectious Animal Diseases, Antimicrobial Resistance, Veterinary Public Health and Food Chain Safety, University of Veterinary Medicine Budapest, István utca 2., Budapest, H-1078, Hungary Export Date: 12 May 2023; Cited By: 0; Correspondence Address: E. Országh; University of Veterinary Medicine Budapest, Digital Food Institute, Budapest, István utca 2., H-1078, Hungary; email: orszagh.erika@univet.hu AB - 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 LA - English DB - MTMT ER - TY - JOUR AU - Palmas, Elisa AU - Engelhardt, Tekla AU - Farkas, Zsuzsa AU - Csorba, Szilveszter AU - Országh, Erika AU - Józwiak, Ákos Bernard TI - Emerging risk identification by applying data analytical tools JF - EFSA JOURNAL J2 - EFSA J VL - 20 PY - 2022 IS - SI 2 PG - 12 SN - 1831-4732 DO - 10.2903/j.efsa.2022.e200913 UR - https://m2.mtmt.hu/api/publication/33558569 ID - 33558569 N1 - Funding Agency and Grant Number: EFSA as part of the EU-FORA programme Funding text: This report is funded by EFSA as part of the EU-FORA programme. Supplement: 2 AB - 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. LA - English DB - MTMT ER - TY - JOUR AU - Farkas, Zsuzsa AU - Országh, Erika AU - Engelhardt, Tekla AU - Csorba, Szilveszter AU - Kerekes, Kata AU - Zentai, Andrea AU - Süth, Miklós AU - Nagy, A AU - Miklós, Gabriella AU - Molnár, Krisztina AU - Rácz, Csaba AU - Dövényi-Nagy, Tamás AU - Ambrus, Árpád AU - Győri, Zoltán AU - Dobos, Attila Csaba AU - Pusztahelyi, Tünde AU - Pócsi, István AU - Józwiak, Ákos Bernard TI - A Systematic Review of the Efficacy of Interventions to Control Aflatoxins in the Dairy Production Chain—Feed Production and Animal Feeding Interventions JF - TOXINS J2 - TOXINS VL - 14 PY - 2022 IS - 2 PG - 34 SN - 2072-6651 DO - 10.3390/toxins14020115 UR - https://m2.mtmt.hu/api/publication/32644330 ID - 32644330 N1 - Digital Food Institute, University of Veterinary Medicine Budapest, Budapest, 1078, Hungary System Management and Supervision Directorate, National Food Chain Safety Office, Budapest, 1024, Hungary Food Chain Safety Laboratory Directorate, National Food Chain Safety Office, Budapest, 1095, Hungary Székesfehérvár Regional Food Chain Laboratory, National Food Chain Safety Office, Székesfehérvár, 8000, Hungary Centre for Precision Farming R&D Services, Faculty of Agriculture, Food Science and Environmental Management, University of Debrecen, Debrecen, 4032, Hungary Doctoral School of Nutrition and Food Sciences, University of Debrecen, Debrecen, 4032, Hungary Institute of Nutrition, Faculty of Agricultural, Food and Environmental Management of University of Debrecen, Debrecen, 4032, Hungary Central Laboratory of Agricultural and Food Products, Faculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, Debrecen, 4032, Hungary Department of Molecular Biotechnology and Microbiology, Institute of Biotechnology, Faculty of Science and Technology, University of Debrecen, Debrecen, 4032, Hungary Export Date: 25 July 2022 Correspondence Address: Farkas, Z.; Digital Food Institute, Hungary; email: farkas.zsuzsa@univet.hu LA - English DB - MTMT ER - TY - JOUR AU - Országh, Erika AU - Józwiak, Ákos Bernard AU - Süth, Miklós AU - Micsinai, Adrienn AU - Urbányi, Béla AU - Vokó, Zoltán AU - Kaló, Zoltán AU - Pitter, János György TI - Az egészségügyi technológiaértékelés és kockázat-haszon elemzés alkalmazási lehetőségei az élelmiszerlánc-biztonság területén. Áttekintés JF - MAGYAR ÁLLATORVOSOK LAPJA J2 - MAGY ALLATORVOSOK VL - 143 PY - 2021 IS - 10 SP - 625 EP - 640 PG - 16 SN - 0025-004X UR - https://m2.mtmt.hu/api/publication/32289690 ID - 32289690 N1 - Export Date: 10 May 2022 Correspondence Address: Erika, O.; Allatorvostudomdnyi Egyetem, Istvan utca 2, Hungary; email: orszagh.erika@univet.hu LA - Hungarian DB - MTMT ER - TY - JOUR AU - Országh, Erika AU - Pitter, János György AU - Kaló, Zoltán AU - Vokó, Zoltán AU - Józwiak, Ákos Bernard TI - Retrospective cost-utility analysis of the Non-typhoidal Salmonella control programme in Hungary JF - FOOD CONTROL J2 - FOOD CONTROL VL - 120 PY - 2021 PG - 10 SN - 0956-7135 DO - 10.1016/j.foodcont.2020.107529 UR - https://m2.mtmt.hu/api/publication/31523935 ID - 31523935 N1 - National Food Chain Safety Office, Keleti Károly utca 24, Budapest, H-1024, Hungary University of Veterinary Medicine Budapest, Digital Food Chain Education, Research, Development and Innovation Institute, István utca 2, Budapest, H-1078, Hungary Syreon Research Institute, Mexikói út 65/A, Budapest, H-1142, Hungary Center for Health Technology Assessment, Semmelweis University, Üllői út 26, Budapest, H-1085, Hungary Export Date: 23 June 2021 CODEN: FOOCE Correspondence Address: Országh, E.; University of Veterinary Medicine Budapest, István utca 2., Hungary; email: orszagh.erika@univet.hu AB - 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. LA - English DB - MTMT ER -