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Analysis of individual patient data to describe the incubation period distribution of Shiga-toxin producing Escherichia coli
Shiga-toxin producing Escherichia coli (STEC) is a pathogen that can cause bloody diarrhoea and severe complications. Cases occur sporadically but outbreaks are also common. Understanding the incubation period distribution and factors influencing it will help in the investigation of exposures and co...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6518530/ https://www.ncbi.nlm.nih.gov/pubmed/31063091 http://dx.doi.org/10.1017/S0950268819000451 |
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author | Awofisayo-Okuyelu, A. Hall, I. Arnold, E. Byrne, L. McCarthy, N. |
author_facet | Awofisayo-Okuyelu, A. Hall, I. Arnold, E. Byrne, L. McCarthy, N. |
author_sort | Awofisayo-Okuyelu, A. |
collection | PubMed |
description | Shiga-toxin producing Escherichia coli (STEC) is a pathogen that can cause bloody diarrhoea and severe complications. Cases occur sporadically but outbreaks are also common. Understanding the incubation period distribution and factors influencing it will help in the investigation of exposures and consequent disease control. We extracted individual patient data for STEC cases associated with outbreaks with a known source of exposure in England and Wales. The incubation period was derived and cases were described according to patient and outbreak characteristics. We tested for heterogeneity in reported incubation period between outbreaks and described the pattern of heterogeneity. We employed a multi-level regression model to examine the relationship between patient characteristics such as age, gender and reported symptoms; and outbreak characteristics such as mode of transmission with the incubation period. A total of 205 cases from 41 outbreaks were included in the study, of which 64 cases (31%) were from a single outbreak. The median incubation period was 4 days. Cases reporting bloody diarrhoea reported shorter incubation periods compared with cases without bloody diarrhoea, and likewise, cases aged between 40 and 59 years reported shorter incubation period compared with other age groups. It is recommended that public health officials consider the characteristics of cases involved in an outbreak in order to inform the outbreak investigation and the period of exposure to be investigated. |
format | Online Article Text |
id | pubmed-6518530 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-65185302019-06-04 Analysis of individual patient data to describe the incubation period distribution of Shiga-toxin producing Escherichia coli Awofisayo-Okuyelu, A. Hall, I. Arnold, E. Byrne, L. McCarthy, N. Epidemiol Infect Original Paper Shiga-toxin producing Escherichia coli (STEC) is a pathogen that can cause bloody diarrhoea and severe complications. Cases occur sporadically but outbreaks are also common. Understanding the incubation period distribution and factors influencing it will help in the investigation of exposures and consequent disease control. We extracted individual patient data for STEC cases associated with outbreaks with a known source of exposure in England and Wales. The incubation period was derived and cases were described according to patient and outbreak characteristics. We tested for heterogeneity in reported incubation period between outbreaks and described the pattern of heterogeneity. We employed a multi-level regression model to examine the relationship between patient characteristics such as age, gender and reported symptoms; and outbreak characteristics such as mode of transmission with the incubation period. A total of 205 cases from 41 outbreaks were included in the study, of which 64 cases (31%) were from a single outbreak. The median incubation period was 4 days. Cases reporting bloody diarrhoea reported shorter incubation periods compared with cases without bloody diarrhoea, and likewise, cases aged between 40 and 59 years reported shorter incubation period compared with other age groups. It is recommended that public health officials consider the characteristics of cases involved in an outbreak in order to inform the outbreak investigation and the period of exposure to be investigated. Cambridge University Press 2019-03-27 /pmc/articles/PMC6518530/ /pubmed/31063091 http://dx.doi.org/10.1017/S0950268819000451 Text en © The Author(s) 2019 http://creativecommons.org/licenses/by/4.0/ This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Paper Awofisayo-Okuyelu, A. Hall, I. Arnold, E. Byrne, L. McCarthy, N. Analysis of individual patient data to describe the incubation period distribution of Shiga-toxin producing Escherichia coli |
title | Analysis of individual patient data to describe the incubation period distribution of Shiga-toxin producing Escherichia coli |
title_full | Analysis of individual patient data to describe the incubation period distribution of Shiga-toxin producing Escherichia coli |
title_fullStr | Analysis of individual patient data to describe the incubation period distribution of Shiga-toxin producing Escherichia coli |
title_full_unstemmed | Analysis of individual patient data to describe the incubation period distribution of Shiga-toxin producing Escherichia coli |
title_short | Analysis of individual patient data to describe the incubation period distribution of Shiga-toxin producing Escherichia coli |
title_sort | analysis of individual patient data to describe the incubation period distribution of shiga-toxin producing escherichia coli |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6518530/ https://www.ncbi.nlm.nih.gov/pubmed/31063091 http://dx.doi.org/10.1017/S0950268819000451 |
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