Literature DB >> 29763867

Shiga toxigenic Escherichia coli incidence is related to small area variation in cattle density in a region in Ireland.

C Brehony1, J Cullinan2, M Cormican3, D Morris4.   

Abstract

Shiga toxigenic Escherichia coli (STEC) are pathogenic E. coli that cause infectious diarrhoea. In some cases infection may be complicated by renal failure and death. The incidence of human infection with STEC in Ireland is the highest in Europe. The objective of the study was to examine the spatial incidence of human STEC infection in a region of Ireland with significantly higher rates of STEC incidence than the national average and to identify possible risk factors of STEC incidence at area level. Anonymised laboratory records (n = 379) from 2009 to 2015 were obtained from laboratories serving three counties in the West of Ireland. Data included location and sample date. Population and electoral division (ED) data were obtained from the Irish 2011 Census of Population. STEC incidence was calculated for each ED (n = 498) and used to map hotspots/coldspots using the Getis-Ord Gi* spatial statistic and significant spatial clustering using the Anselin's Local Moran's I statistic. Multivariable regression analysis was used to consider the importance of a number of potential predictors of STEC incidence. Incidence rates for the seven-year period ranged from 0 to 10.9 cases per 1000. A number of areas with significant local clustering of STEC incidence as well as variation in the spatial distribution of the two main serogroups associated with disease in the region i.e. O26 and O157 were identified. Cattle density was found to be a statistically significant predictor of STEC in the region. GIS analysis of routine data indicates that cattle density is associated STEC infection in this high incidence region. This finding points to the importance of agricultural practices for human health and the importance of a "one-health" approach to public policy in relation to agriculture, health and environment.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Clustering; GIS; Public-health; Risk-factors; STEC; Zoonosis

Mesh:

Year:  2018        PMID: 29763867     DOI: 10.1016/j.scitotenv.2018.05.038

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  3 in total

1.  Prevalence and Epidemiology of Non-O157 Escherichia coli Serogroups O26, O103, O111, and O145 and Shiga Toxin Gene Carriage in Scottish Cattle, 2014-2015.

Authors:  Deborah V Hoyle; Marianne Keith; Helen Williamson; Kareen Macleod; Heather Mathie; Ian Handel; Carol Currie; Anne Holmes; Lesley Allison; Rebecca McLean; Rebecca Callaby; Thibaud Porphyre; Sue C Tongue; Madeleine K Henry; Judith Evans; George J Gunn; David L Gally; Nuno Silva; Margo E Chase-Topping
Journal:  Appl Environ Microbiol       Date:  2021-04-27       Impact factor: 4.792

2.  Geocoding cryptosporidiosis cases in Ireland (2008-2017)-development of a reliable, reproducible, multiphase geocoding methodology.

Authors:  Lisa Domegan; Patricia Garvey; Paul McKeown; Howard Johnson; Paul Hynds; Jean O'Dwyer; Coilín ÓhAiseadha
Journal:  Ir J Med Sci       Date:  2021-01-19       Impact factor: 1.568

3.  Spatiotemporal Dynamics of Sporadic Shiga Toxin-Producing Escherichia coli Enteritis, Ireland, 2013-2017.

Authors:  Eimear Cleary; Martin Boudou; Patricia Garvey; Coilin Oh Aiseadha; Paul McKeown; Jean O'Dwyer; Paul Hynds
Journal:  Emerg Infect Dis       Date:  2021-09       Impact factor: 6.883

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.