An outbreak of Shiga toxin-producing Escherichia coli (STEC) O157:H7 associated with contaminated lettuce and the cascading risks from climate change, the United Kingdom, August to September 2022

爆发 环境卫生 食品安全 流行病学 地理空间分析 食物链 地理 志贺毒素 食品微生物学 食品污染物 兽医学 医学 生物 大肠杆菌 生态学 食品科学 病毒学 地图学 基因 生物化学 遗传学 内科学 细菌
作者
Neil Cunningham,Claire Jenkins,Sarah Williams,Joanna Garner,Bernd Eggen,Amy Douglas,C. J. Potter,Anthony Wilson,Giovanni Leonardi,Lesley Larkin,Susan Hopkins
出处
期刊:Eurosurveillance [European Centre for Disease Prevention and Control]
卷期号:29 (36) 被引量:10
标识
DOI:10.2807/1560-7917.es.2024.29.36.2400161
摘要

Shiga-toxin producing Escherichia coli (STEC) O157 is a food-borne pathogen which causes gastrointestinal illness in humans. Ruminants are considered the main reservoir of infection, and STEC exceedance has been associated with heavy rainfall. In September 2022, a large outbreak of STEC O157:H7 was identified in the United Kingdom (UK). A national-level investigation was undertaken to identify the source of the outbreak and inform risk mitigation strategies. Whole genome sequencing (WGS) was used to identify outbreak cases. Overall, 259 cases with illness onset dates between 5 August and 12 October 2022, were confirmed across the UK. Epidemiological investigations supported a UK grown, nationally distributed, short shelf-life food item as the source of the outbreak. Analytical epidemiology and food chain analysis suggested lettuce as the likely vehicle of infection. Food supply chain tracing identified Grower X as the likely implicated producer. Independent of the food chain investigations, a novel geospatial analysis triangulating meteorological, flood risk, animal density and land use data was developed, also identifying Grower X as the likely source. Novel geospatial analysis and One Health approaches are potential tools for upstream data analysis to predict and prevent contamination events before they occur and to support evidence generation in outbreak investigations.

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