Literature DB >> 9507594

Seasonality and other epidemiological features of haemolytic uraemic syndrome and E. coli O157 isolates in Scotland.

A S Douglas1, A Kurien.   

Abstract

The main objective was to determine whether there was seasonality in presentation of haemolytic uraemic syndrome (HUS) in children and adults, and compare this with the reporting of E. coli O157. The data came from Scotland, examining admissions during 1980-95 and E. coli isolates 1984-95. Seasonality was sought by fitting a sine curve to monthly or four-weekly data throughout the year. Seasonality was present for HUS and E. coli isolates in patients under 15 years of age but not in those above that age. The highest point of the sine curve was in July/August but there was a high plateau from June to September. The timing was similar to other diarrhoeal disease. This is an epidemiological study, the purpose being to clarify the seasonal features of HUS. E. coli infection is an important food hazard and a sound knowledge of the epidemiology, could lead to optimal control. The Scottish geographic distribution is illustrated.

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Mesh:

Year:  1997        PMID: 9507594     DOI: 10.1177/003693309704200603

Source DB:  PubMed          Journal:  Scott Med J        ISSN: 0036-9330            Impact factor:   0.729


  3 in total

1.  Seasonal variation of HUS occurrence and VTEC infection in children with acute diarrhoea from Argentina.

Authors:  M A Rivero; J A Passucci; E M Rodríguez; A E Parma
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2011-09-22       Impact factor: 3.267

2.  The use of outbreak information in the interpretation of clustering of reported cases of Escherichia coli O157 in space and time in Alberta, Canada, 2000-2002.

Authors:  D L Pearl; M Louie; L Chui; K Doré; K M Grimsrud; D Leedell; S W Martin; P Michel; L W Svenson; S A McEwen
Journal:  Epidemiol Infect       Date:  2006-01-03       Impact factor: 2.451

3.  Role of climate in the spread of shiga toxin-producing Escherichia coli infection among children.

Authors:  Fiorella Acquaotta; Gianluigi Ardissino; Simona Fratianni; Michela Perrone
Journal:  Int J Biometeorol       Date:  2017-04-07       Impact factor: 3.787

  3 in total

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