Silvia Funke1,2, Janus C H Anker1, Steen Ethelberg1. 1. a Department of Infectious Disease Epidemiology, Statens Serum Institut , Copenhagen , Denmark. 2. b European Programme for Intervention Epidemiology Training (EPIET), European Centre for Disease Prevention and Control (ECDC) , Stockholm , Sweden.
Abstract
BACKGROUND: The Salmonella serotype Dublin is specifically adapted to cattle but may infect humans leading to severe disease. We described human S. Dublin cases and investigated a potential spatial relation between their addresses and cattle farms in Denmark. METHODS: We extracted S. Dublin patient surveillance data, 2000-2014, and performed descriptive analyses. We geocoded residential and cattle farm addresses and mapped their incidence by region, province and municipality. We used linear correlation and spatial autocorrelation analysis at the municipality level and calculated the direct network distance from the nearest farm to the residential address of cases and 20,000 randomly selected citizens representing the background population. RESULTS: We identified 484 S. Dublin cases, 57% were male, median age 65 years. Seven patients (1%) acquired their infection abroad. The 30 days all-cause mortality was 13%. Overall, cumulative incidence was 8.0 per 100,000 inhabitants. Cattle farms were located predominantly in the western part of the country. Neither visual inspection nor correlation analysis indicated a relationship between municipalities with high incidences of human cases and cattle farms. Global Moran's Index analysis showed municipalities with high incidence of cases to be randomly distributed. We found equal direct network distances between cattle farms and both addresses of S. Dublin cases and the background population. CONCLUSIONS: We found S. Dublin infections in Denmark to affect the elderly, be serious and acquired domestically. Our findings indicate that the risk of infection with S. Dublin in Denmark is independent of living in the proximity to cattle farms.
BACKGROUND: The Salmonella serotype Dublin is specifically adapted to cattle but may infect humans leading to severe disease. We described humanS. Dublin cases and investigated a potential spatial relation between their addresses and cattle farms in Denmark. METHODS: We extracted S. Dublinpatient surveillance data, 2000-2014, and performed descriptive analyses. We geocoded residential and cattle farm addresses and mapped their incidence by region, province and municipality. We used linear correlation and spatial autocorrelation analysis at the municipality level and calculated the direct network distance from the nearest farm to the residential address of cases and 20,000 randomly selected citizens representing the background population. RESULTS: We identified 484 S. Dublin cases, 57% were male, median age 65 years. Seven patients (1%) acquired their infection abroad. The 30 days all-cause mortality was 13%. Overall, cumulative incidence was 8.0 per 100,000 inhabitants. Cattle farms were located predominantly in the western part of the country. Neither visual inspection nor correlation analysis indicated a relationship between municipalities with high incidences of human cases and cattle farms. Global Moran's Index analysis showed municipalities with high incidence of cases to be randomly distributed. We found equal direct network distances between cattle farms and both addresses of S. Dublin cases and the background population. CONCLUSIONS: We found S. Dublin infections in Denmark to affect the elderly, be serious and acquired domestically. Our findings indicate that the risk of infection with S. Dublin in Denmark is independent of living in the proximity to cattle farms.
Entities:
Keywords:
As listed in Medical Subject Headings (MeSH); Salmonella; addresses; foodborne diseases; geographic information systems; mortality; spatial analysis
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