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The epidemiology of Shiga toxin-producing Escherichia coli serogroup O157 in England, 2009–2019

Published online by Cambridge University Press:  11 February 2022

Saira Butt
Affiliation:
National Infection Service, Public Health England, London, UK
Claire Jenkins*
Affiliation:
National Infection Service, Public Health England, London, UK
Gauri Godbole
Affiliation:
National Infection Service, Public Health England, London, UK
Lisa Byrne
Affiliation:
National Infection Service, Public Health England, London, UK
*
Author for correspondence: Claire Jenkins, E-mail: claire.jenkins1@phe.gov.uk
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Abstract

Shiga toxin-producing Escherichia coli (STEC) serogroup O157 is a zoonotic, foodborne gastrointestinal pathogen of major public health concern. We describe the epidemiology of STEC O157 infection in England by exploring the microbiological and clinical characteristics, the demographic and geographical distribution of cases, and examining changes in environmental exposures over 11 years of enhanced surveillance. Enhanced surveillance data including microbiological subtyping, clinical presentations and exposures were extracted for all cases resident in England with evidence of STEC O157 infection, either due to faecal culture or serology detection. Incidence rates were calculated based on mid-year population estimates from the Office of National Statistics (ONS). Demographics, geography, severity and environmental exposures were compared across the time periods 2009–2014 and 2015–2019. The number of cases reported to national surveillance decreased, with the mean cases per year dropping from 887 for the period 2009–2014 to 595 for the period 2015–2019. The decline in STEC O157 infections appears to be mirrored by the decrease in cases infected with phage type 21/28. Although the percentage of cases that developed HUS decreased, the percentage of cases reporting bloody diarrhoea and hospitalisation remained stable. The number of outbreaks declined over time, although more refined typing methods linked more cases to each outbreak. Integration of epidemiological data with microbiological typing data is essential to understanding the changes in the burden of STEC infection, assessment of the risks to public health, and the prediction and mitigation of emerging threats.

Information

Type
Original Paper
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0), which permits non-commercial re-use, distribution, and reproduction in any medium, provided that no alterations are made and the original article is properly cited. The written permission of Cambridge University Press must be obtained prior to any commercial use and/or adaptation of the article.
Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press
Figure 0

Fig. 1. Breakdown of cases reported to NESSS from 2009 to 2019.

Figure 1

Fig. 2. Cases with evidence of STEC O157 infection by epidemiological category.

Figure 2

Fig. 3. Number of outbreaks and median number of cases per outbreak by year.

Figure 3

Fig. 4. Cases with culture-confirmed STEC O157 infection by stx profile.

Figure 4

Fig. 5. Percentage of culture-confirmed cases per year by phage type.

Figure 5

Fig. 6. Incidence rate of STEC O157 infection per 100 000 population per year by age group and sex between 2009 and 2019.

Figure 6

Fig. 7. Incidence rate of STEC O157 infection per 100 000 population per year by age group and time-period between 2009 and 2019.

Figure 7

Table 1. Rate ratios comparing rural to urban LSOAs by phage type and time period

Figure 8

Fig. 8. Proportion of cases by time period in each age–sex group.

Figure 9

Fig. 9. Percentage of cases by age and sex within each Stx profile.

Figure 10

Fig. 10. Percentage of cases by age and sex within each of the most frequent phage types.

Figure 11

Table 2. Percentage of cases reporting various clinical features by time period

Figure 12

Fig. 11. Percentage of cases with ESQs in each age group by indicator of severe illness.

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Table 3. Percentage of cases reporting indicators of clinical severity by the 10 most detected phage types

Figure 14

Table 4. Proportion of cases reporting travel by the top 10 phage types among culture-confirmed cases

Figure 15

Table 5. Animal contact and exposure by time period