Input parameters used in the risk assessment model of STEC due to beef consumption.

NIAID Data Ecosystem2026-03-12 收录

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Input parameters used in the risk assessment model of STEC due to beef consumption.

创建时间：

2020-11-13

Number of STEC-illnesses reported in Germany 2004–2011 and percentage of hospitalized case-patients – by age-group and serogroup.

传染病监测

STEC（产志贺毒素大肠杆菌）

Percentages are calculated within serogroup categories.

NIAID Data Ecosystem40

Themes covered in the farm and retailer survey questionnaires and corresponding categories/sub-categories of variables included in the farm and retailer risk factor analyses (RFA) for the presence of Campylobacter spp.

食品安全风险评估

弯曲杆菌污染溯源

Themes covered in the farm and retailer survey questionnaires and corresponding categories/sub-categories of variables included in the farm and retailer risk factor analyses (RFA) for the presence of

Figshare2018-09-04 更新30

Annex B – Occurrence data on brominated phenols and their derivatives in food submitted to EFSA, dietary surveys per country and age group available in the EFSA Comprehensive Database considered in the exposure assessment, and the detailed results of the chronic dietary exposure assessment to 2,4,6-TBP and the contribution of different food groups to the dietary exposure

食品安全风险评估

暴露评估

This Annex contains the occurrence data submitted to EFSA, the dietary surveys per country and age group, and the detailed results of the chronic dietary exposure assessment to 2,4,6-TBP and the contr

Zenodo2024-10-18 更新10

Proportion (%) of foodborne disease burden attributable to animal source foods for different hazards, 2010 (median, 95% uncertainty interval).

食品安全风险评估

食源性疾病负担

Proportion (%) of foodborne disease burden attributable to animal source foods for different hazards, 2010 (median, 95% uncertainty interval).

NIAID Data Ecosystem30

Table_1_Diversity of antimicrobial resistance, stress resistance, and virulence factors of Salmonella, Shiga toxin-producing Escherichia coli, and Listeria monocytogenes from produce, spices, and tree nuts by whole genome sequencing.DOCX

食源性疾病病原体基因组学

食品安全风险评估

IntroductionThe objective of this study was to analyze antimicrobial resistance (AMR), stress resistance, and virulence factors through whole genome sequencing (WGS) of 192 isolates comprising 164 Sal

NIAID Data Ecosystem10

Input parameters used in the risk assessment model of STEC due to beef consumption.

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