Pathogens-in-Foods Database: A Web Application for Assessing the Occurrence Data of Microbiological Hazards in Foods Marketed in Europe

Foods 2022 Pub Date : 2022-09-30 DOI:10.3390/foods2022-13014
A. S. Faria, Maiara Winter, A. Thébault, L. Guillier, M. Sanaa, P. Kooh, V. Cadavez, Ú. Gonzales-Barrón
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Abstract

: Pathogens-in-Foods (PIF) is a dynamic database constructed upon systematic literature 21 searches of occurrence data (prevalence and enumeration) of important pathogenic agents ( Bacillus 22 cereus , Campylobacter spp., Clostridium perfringens , Listeria monocytogenes , Salmonella spp., Shiga 23 toxin-producing Escherichia coli , Staphylococcus aureus , Yersinia enterocolitica , Cryptosporidium spp., 24 Giardia spp., Toxoplasma gondii , Hepatitis A virus, Hepatitis E virus and Norovirus) in foods ran-25 domly surveyed across Europe. After filtering the primary studies, these are screened for relevance 26 and methodological quality, and the data are extracted into the PIF database following a systematic categorisation of microbiological methods, food types and outcomes. The database is accessible through a web application (https://fsqa.esa.ipb.pt/) that facilitates data retrieval according to sev-29 eral relevant variables. PIF spans data published from 2000 onwards and is intended for use by researchers and food authorities after meta-analysis, in microbiological risk assessment.
食品中病原体数据库:用于评估在欧洲销售的食品中微生物危害发生数据的Web应用程序
:食品病原体(PIF)是一个动态数据库,它是基于对重要病原体(蜡样芽孢杆菌、弯曲杆菌、产气荚膜梭菌、单核增生李斯特菌、沙门氏菌、志贺23产毒大肠杆菌、金黄色葡萄球菌、小肠结肠炎耶尔森菌、隐孢子虫、贾第鞭毛虫、弓形虫、甲型肝炎病毒、弓形虫等)发生数据(流行率和计数)的系统文献检索而建立的。戊型肝炎病毒和诺如病毒)在欧洲各地随机调查了25例。在筛选初步研究之后,对这些研究进行相关性和方法学质量筛选,并根据微生物方法、食品类型和结果的系统分类将数据提取到PIF数据库中。该数据库可通过web应用程序(https://fsqa.esa.ipb.pt/)访问,该应用程序可根据几个相关变量方便地检索数据。PIF涵盖了2000年以来发表的数据,旨在供研究人员和食品当局在荟萃分析后用于微生物风险评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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