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. 2019 Mar 18;13(3):e0007187.
doi: 10.1371/journal.pntd.0007187. eCollection 2019 Mar.

Increasing incidence of invasive nontyphoidal Salmonella infections in Queensland, Australia, 2007-2016

Andrea Parisi  1 , John A Crump  2 , Russell Stafford  3 , Kathryn Glass  1 , Benjamin P Howden  4 , Martyn D Kirk  1
Affiliations

Increasing incidence of invasive nontyphoidal Salmonella infections in Queensland, Australia, 2007-2016

Andrea Parisi et al. PLoS Negl Trop Dis. .

Abstract

Nontyphoidal Salmonella is a major contributor to the global burden of foodborne disease, with invasive infections contributing substantially to illnesses and deaths. We analyzed notifiable disease surveillance data for invasive nontyphoidal Salmonella disease (iNTS) in Queensland, Australia. We used Poisson regression to estimate incidence rate ratios by gender, age group, and geographical area over 2007-2016. There were 995 iNTS cases, with 945 (92%) confirmed by blood culture. Salmonella Virchow accounted for 254 (25%) of 1,001 unique iNTS isolates. Invasive NTS disease notification rates peaked among infants, during the summer months, and in outback Queensland where the notification rate (95% CI) was 17.3 (14.5-20.1) cases per 100,000 population. Overall, there was a 6,5% annual increase (p<0.001) in iNTS disease incidence. In conclusion, high iNTS rates among males, infants, and the elderly require investigation of household level risk factors for NTS infection. Controlling Salmonella Virchow infections is a public health priority.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Map of Queensland divided into statistical areas level 4.
Fig 2
Fig 2. Number of iNTS cases in Queensland by month, 2007–2016.
Fig 3
Fig 3. Crude and adjusted notification rates of iNTS disease in Queensland, 2007–2016.
Fig 4
Fig 4. Adjusted notification rates of iNTS disease in Queensland by gender and age group, 2007–2016.
Fig 5
Fig 5. Adjusted notification rates of iNTS disease in Queensland by Statistical Area level 4, 2007–2016.
See this image and copyright information in PMC

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