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Geographical association between livestock density and human Shiga toxin-producing Escherichia coli O157 infections
- Source :
- Epidemiology and Infection. 139:1081-1087
- Publication Year :
- 2010
- Publisher :
- Cambridge University Press (CUP), 2010.
-
Abstract
- SUMMARYShiga toxin-producing Escherichia coli (STEC) bacteria can cause outbreaks and sporadic cases of gastroenteritis in humans. Ruminants are seen as the main reservoir. The aim of this study was to evaluate the spatial association between reported human STEC O157 infections in The Netherlands and different livestock densities. Data were collected at the municipality level and a spatial regression analysis was performed. Between April 1999 and December 2008, 409 symptomatic sporadic cases were registered. Adding an interaction term between season, age, and livestock density showed an increased risk of STEC cases in summer for living in areas with cattle, in particular for young children. In conclusion, cattle, but not pigs or poultry, are indicated as an important source for human STEC O157 infections in rural areas. The association is probably due to direct or indirect contact with cattle, resulting in symptomatic infections, especially in young children.
- Subjects :
- Adult
Male
Veterinary medicine
medicine.medical_specialty
Adolescent
Epidemiology
Cattle Diseases
Biology
Escherichia coli O157
medicine.disease_cause
Population density
Microbiology
Young Adult
chemistry.chemical_compound
Sex Factors
Shiga-like toxin
Risk Factors
medicine
Animals
Humans
Child
Escherichia coli
Escherichia coli Infections
Disease Reservoirs
Netherlands
Population Density
business.industry
Incidence
Incidence (epidemiology)
Age Factors
Infant
Outbreak
Middle Aged
Infectious Diseases
chemistry
Child, Preschool
Cattle
Female
Livestock
Seasons
Shiga toxin-producing Escherichia coli O157
business
Subjects
Details
- ISSN :
- 14694409 and 09502688
- Volume :
- 139
- Database :
- OpenAIRE
- Journal :
- Epidemiology and Infection
- Accession number :
- edsair.doi.dedup.....bb152678d1e55cea4e71de1887e2ef2a
- Full Text :
- https://doi.org/10.1017/s0950268810002050