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Geographical information software and shopper card data, aided in the discovery of a Salmonella Enteritidis outbreak associated with Turkish pine nuts
- Source :
- Epidemiol Infect
- Publication Year :
- 2014
- Publisher :
- Cambridge University Press (CUP), 2014.
-
Abstract
- SUMMARYIn 2011, from August to November, the Monroe County Department of Public Health (MCDPH) investigated 47 salmonellosis cases. Geographical information software (GIS) was used to map the address locations of these cases. The resulting GIS analysis and culture information indicated that there were two distinct clusters of Salmonella that were geographically different. Pulsed-field gel electrophoresis (PFGE) testing was run at the New York State Department of Health Wadsworth Laboratory and identified S. Enteritidis (23 cases) and S. Typhimurium (10 cases). The epidemiological investigation identified Turkish pine nuts as the link between ill S. Enteritidis cases. Pine nut samples sent for laboratory testing were a PFGE match to human isolates with S. Enteritidis. A national recall of Turkish pine nuts ensued. A multistate outbreak was identified as a result of the initial investigation of MCDPH, in which 43 people were infected with the outbreak strain from five states. GIS software and shopper card data provided important tools in the epidemiological investigation.
- Subjects :
- Adult
Male
Salmonella typhimurium
medicine.medical_specialty
Salmonella
Geographic information system
Adolescent
Turkey
Epidemiology
Turkish
Salmonella enteritidis
New York
medicine.disease_cause
Disease Outbreaks
Short Reports
Environmental health
Pulsed-field gel electrophoresis
medicine
Humans
Child
Aged
Aged, 80 and over
business.industry
Public health
food and beverages
Outbreak
Middle Aged
Pinus
language.human_language
Electrophoresis, Gel, Pulsed-Field
Data aided
Infectious Diseases
Geography
Child, Preschool
Geographic Information Systems
language
Female
Salmonella Food Poisoning
business
Software
Subjects
Details
- ISSN :
- 14694409 and 09502688
- Volume :
- 142
- Database :
- OpenAIRE
- Journal :
- Epidemiology and Infection
- Accession number :
- edsair.doi.dedup.....21496db71a820d3a447dd08c9fe6e93c