A. S. Faria, Maiara Winter, A. Thébault, L. Guillier, M. Sanaa, P. Kooh, V. Cadavez, Ú. Gonzales-Barrón
{"title":"Pathogens-in-Foods Database: A Web Application for Assessing the Occurrence Data of Microbiological Hazards in Foods Marketed in Europe","authors":"A. S. Faria, Maiara Winter, A. Thébault, L. Guillier, M. Sanaa, P. Kooh, V. Cadavez, Ú. Gonzales-Barrón","doi":"10.3390/foods2022-13014","DOIUrl":null,"url":null,"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.","PeriodicalId":341898,"journal":{"name":"Foods 2022","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Foods 2022","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/foods2022-13014","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.