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Epidemiology and whole genome sequencing of an ongoing point-source Salmonella Agona outbreak associated with sushi consumption in western Sydney, Australia 2015.

ABSTRACT: During May 2015, an increase in Salmonella Agona cases was reported from western Sydney, Australia. We examine the public health actions used to investigate and control this increase. A descriptive case-series investigation was conducted. Six outbreak cases were identified; all had consumed cooked tuna sushi rolls purchased within a western Sydney shopping complex. Onset of illness for outbreak cases occurred between 7 April and 24 May 2015. Salmonella was isolated from food samples collected from the implicated premise and a prohibition order issued. No further cases were identified following this action. Whole genome sequence (WGS) analysis was performed on isolates recovered during this investigation, with additional S. Agona isolates from sporadic-clinical cases and routine food sampling in New South Wales, January to July 2015. Clinical isolates of outbreak cases were indistinguishable from food isolates collected from the implicated sushi outlet. Five additional clinical isolates not originally considered to be linked to the outbreak were genomically similar to outbreak isolates, indicating the point-source contamination may have started before routine surveillance identified an increase. This investigation demonstrated the value of genomics-guided public health action, where near real-time WGS enhanced the resolution of the epidemiological investigation.

SUBMITTER: Thompson CK

PROVIDER: S-EPMC9203421 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundThere is increasing interest in the role played by maternal depression in mediating the effects of adversity during pregnancy and poor infant outcomes. There is also increasing evidence from multilevel regression studies for an association of area-level economic deprivation and poor individual mental health. The purpose of the study reported here is to explore the spatial distribution of postnatal depressive symptoms in South Western Sydney, Australia, and to identify covariate associations that could inform subsequent multilevel studies.MethodsMothers (n?=?15,389) delivering in 2002 and 2003 were assessed at 2-3 weeks after delivery for risk factors for depressive symptoms. The individual-level binary outcome variables were Edinburgh Depression Scale (EDS) >9 and >12. The association between social, demographic and ecological factors and aggregated outcome variables were investigated using exploratory factor analysis and multivariate hierarchical Bayesian spatial regression. Relative risks from the final EDS?>12 regression model were mapped to visualise the contribution from explanatory covariates and residual components.ResultsThe exploratory factor analysis identified six factors: neighbourhood adversity, social cohesion, health behaviours, housing quality, social services, and support networks. Variables associated with neighbourhood adversity, social cohesion, social networks, and ethnic diversity were consistently associated with aggregated depressive symptoms. Measures of social disadvantage, lack of social cohesion and lack of social capital were associated with increased depressive symptoms. The association with social disadvantage was not significant when controlling for ethnic diversity and social capital.ConclusionsThe findings support the theoretical proposition that neighbourhood adversity causes maternal psychological distress and depression within the context of social buffers including social networks, social cohesion, and social services. The finding have implications for the distribution of health services including early nurse home visiting which has recently been confirmed to be effective in preventing postnatal depression.

Project description:ObjectivesAdverse childhood experiences (ACE) are associated with poor short, medium and long-term health outcomes. South Western Sydney (SWS) has a large culturally diverse population, including many disadvantaged population groups. Our aims were to determine the burden of ACE in children attending community paediatric (CP) clinics using a purposefully developed ACE checklist, and explore any association with developmental health of children.MethodsWe trialled the ACE checklist in all CP clinics including child development (CD) and vulnerable child (VC) clinics between February 2017 and August 2017. Data were collated from completed ACE checklists and relevant clinical information from CP clinics. Statistical analysis was performed using SPSS and MedCalc software.ResultsOf 279 children seen in CP clinics with checklists completed for the period, 167 (60%) attended CD clinics and 112 (40%) attended VC clinics. Seventy-eight (28%) had ACE ≥4 and 178 (64%) had ACE ≥1. Of those attending CD clinics, 8 (5%) had ACE ≥4 compared with 70 (63%) attending VC clinics (p<0.001). Of all age groups, children ≥10 years of age had the highest proportion of children with ACE ≥4 (65%); significant association between age group and ACE ≥4 (p<0.001). There was a significant association between cultural background and ACE ≥4 (p<0.001); indigenous children had the highest proportion of ACE ≥4 (n=21; 64%), followed by Anglo-Australian children (55%). On logistic regression analysis, only attending VC clinics was significantly associated with ACE ≥4. There was no significant association between ACE ≥4 and developmental health.ConclusionAmong children attending CP clinics in SWS, more than a quarter had a significant burden of ACE; those attending specialised clinics for vulnerable children, those from particular ethnic groups and from older age groups, had the highest burden of ACE. Our findings support the need for specialised pathways for paediatric assessment for vulnerable, at-risk children.

Dataset Information

Epidemiology and whole genome sequencing of an ongoing point-source Salmonella Agona outbreak associated with sushi consumption in western Sydney, Australia 2015.

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