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1.
Epidemiol Infect ; 152: e106, 2024 Sep 30.
Article in English | MEDLINE | ID: mdl-39344903

ABSTRACT

An investigation into an outbreak of Salmonella Newport infections in Canada was initiated in July 2020. Cases were identified across several provinces through whole-genome sequencing (WGS). Exposure data were gathered through case interviews. Traceback investigations were conducted using receipts, invoices, import documentation, and menus. A total of 515 cases were identified in seven provinces, related by 0-6 whole-genome multi-locus sequence typing (wgMLST) allele differences. The median age of cases was 40 (range 1-100), 54% were female, 19% were hospitalized, and three deaths were reported. Forty-eight location-specific case sub-clusters were identified in restaurants, grocery stores, and congregate living facilities. Of the 414 cases with exposure information available, 71% (295) had reported eating onions the week prior to becoming ill, and 80% of those cases who reported eating onions, reported red onion specifically. The traceback investigation identified red onions from Grower A in California, USA, as the likely source of the outbreak, and the first of many food recall warnings was issued on 30 July 2020. Salmonella was not detected in any tested food or environmental samples. This paper summarizes the collaborative efforts undertaken to investigate and control the largest Salmonella outbreak in Canada in over 20 years.


Subject(s)
Disease Outbreaks , Onions , Salmonella Food Poisoning , Humans , Canada/epidemiology , Female , Male , Adult , Middle Aged , Child, Preschool , Adolescent , Young Adult , Child , Aged , Infant , Aged, 80 and over , Salmonella Food Poisoning/epidemiology , Salmonella Food Poisoning/microbiology , Onions/microbiology , Whole Genome Sequencing , Salmonella Infections/epidemiology , Salmonella Infections/microbiology , Salmonella/genetics , Salmonella/classification , Salmonella/isolation & purification , Multilocus Sequence Typing
2.
Epidemiol Infect ; 152: e107, 2024 Sep 30.
Article in English | MEDLINE | ID: mdl-39344906

ABSTRACT

In December 2018, an outbreak of Salmonella Enteritidis infections was identified in Canada by whole-genome sequencing (WGS). An investigation was initiated to identify the source of the illnesses, which proved challenging and complex. Microbiological hypothesis generation methods included comparisons of Salmonella isolate sequence data to historical domestic outbreaks and international repositories. Epidemiological hypothesis generation methods included routine case interviews, open-ended centralized re-interviewing, thematic analysis of open-ended interview data, collection of purchase records, a grocery store site visit, analytic comparison to healthy control groups, and case-case analyses. Food safety hypothesis testing methods included food sample collection and analysis, and traceback investigations. Overall, 83 cases were identified across seven provinces, with onset dates from 6 November 2018 to 7 May 2019. Case ages ranged from 1 to 88 years; 60% (50/83) were female; 39% (22/56) were hospitalized; and three deaths were reported. Brand X profiteroles and eclairs imported from Thailand were identified as the source of the outbreak, and eggs from an unregistered facility were hypothesized as the likely cause of contamination. This study aims to describe the outbreak investigation and highlight the multiple hypothesis generation methods that were employed to identify the source.


Subject(s)
Disease Outbreaks , Salmonella Food Poisoning , Salmonella enteritidis , Humans , Salmonella enteritidis/isolation & purification , Salmonella enteritidis/genetics , Child, Preschool , Aged , Female , Adolescent , Male , Child , Middle Aged , Adult , Aged, 80 and over , Young Adult , Infant , Salmonella Food Poisoning/epidemiology , Salmonella Food Poisoning/microbiology , Canada/epidemiology , Frozen Foods/microbiology , Whole Genome Sequencing , Food Microbiology , Salmonella Infections/epidemiology , Salmonella Infections/microbiology
3.
Article in English | MEDLINE | ID: mdl-39247792

ABSTRACT

Objective: To investigate the cause of a foodborne outbreak that occurred in Dong Nai province, Viet Nam, in 2024, and implement control measures. Methods: An initial investigation was conducted to confirm the outbreak, which was followed by epidemiological and environmental investigations to find the plausible causative food item. Clinical specimens and food samples were tested to identify the pathogen. Results: A total of 547 symptomatic cases were recorded, of whom two were in severe condition requiring extracorporeal membrane oxygenation and ventilation, one of whom died. Among 99 interviewed cases, the mean incubation time was 9 hours (range 2-24 hours), with the main symptoms being fever, abdominal pain, diarrhoea and vomiting. All patients had eaten banh mi from a local bakery. Salmonella spp. were identified in food samples and clinical specimens. The bakery halted production, and the outbreak ended after 1 week. Discussion: All the patients were exposed to only one food in common, which facilitated the investigation process. This outbreak is a reminder to small retailers and take-away shops of the importance of food safety management in preventing similar future outbreaks. All food handlers must comply with food hygiene principles, especially in hot temperatures, which boosts bacterial growth.


Subject(s)
Disease Outbreaks , Salmonella Food Poisoning , Humans , Vietnam/epidemiology , Male , Adult , Female , Salmonella Food Poisoning/epidemiology , Salmonella Food Poisoning/microbiology , Middle Aged , Child, Preschool , Child , Adolescent , Infant , Salmonella/isolation & purification , Young Adult , Foodborne Diseases/epidemiology , Foodborne Diseases/microbiology , Food Microbiology , Aged
4.
Rural Remote Health ; 24(2): 8391, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38957085

ABSTRACT

INTRODUCTION: An outbreak of gastroenteritis due to Salmonella Give, a very rarely identified serotype in human isolates in Greece, occurred in participants of a religious festival in a rural area of southern Greece, in September 2022. The objectives of this study were to describe the outbreak in terms of epidemiology, identify the vehicle of transmission of the foodborne pathogen and recommend prevention measures. METHODS: The outbreak was linked to the consumption of a local traditional recipe of roasted pork meat served by a street food vendor. In 2018, the same food item, served in a restaurant in the same region, was implicated in another S. Give outbreak. RESULTS: Outbreak investigations revealed that outbreak-associated isolates, of food and human origin, belonged to the same S. Give strain. Significant deficiencies regarding food safety practices were identified. CONCLUSION: Technical knowledge about pathogen transmission paths is important in order for both food handlers and consumers to follow hygiene and sanitary measures, mainly in cases of mass gatherings, where large quantities of food are prepared, handled, cooked and served. Efficient official supervision, mainly during summer festivals, is required in order to avoid recurrence of foodborne infections by different combinations of pathogens/food commodities.


Subject(s)
Disease Outbreaks , Pork Meat , Humans , Greece/epidemiology , Disease Outbreaks/prevention & control , Pork Meat/microbiology , Male , Salmonella Food Poisoning/epidemiology , Salmonella Food Poisoning/prevention & control , Salmonella Food Poisoning/microbiology , Female , Adult , Animals , Salmonella/isolation & purification , Middle Aged , Gastroenteritis/microbiology , Gastroenteritis/epidemiology , Swine , Food Microbiology
5.
J Food Prot ; 87(9): 100331, 2024 Sep.
Article in English | MEDLINE | ID: mdl-39032785

ABSTRACT

Over 40% of all U.S. Salmonella illnesses are attributed to consumption of contaminated meat and poultry products each year. Determining which serotypes cause the most outbreak illnesses associated with specific meat and poultry types can inform prevention measures. We developed an approach to categorize serotypes using outbreak illness burden (high, moderate, low) and trajectory (increased, stable, decreased). We used data from 192 foodborne Salmonella outbreaks resulting in 7,077 illnesses, 1,330 hospitalizations, and 9 deaths associated with chicken, turkey, beef, or pork during 2012-2021. We linked each meat and poultry type to 1-3 serotypes that we categorized as high outbreak illness burden and increased trajectory during 2021. Calculation and public display of outbreak illness burden and trajectory annually could facilitate the prioritization of serotypes for prevention by federal and state health and regulatory agencies and by the meat and poultry industry.


Subject(s)
Disease Outbreaks , Meat , Poultry , Salmonella , Serogroup , Animals , Humans , Meat/microbiology , Food Microbiology , Chickens , Salmonella Food Poisoning/epidemiology , Foodborne Diseases/epidemiology
6.
Vet Res ; 55(1): 72, 2024 Jun 05.
Article in English | MEDLINE | ID: mdl-38840261

ABSTRACT

Salmonellosis, one of the most common foodborne infections in Europe, is monitored by food safety surveillance programmes, resulting in the generation of extensive databases. By leveraging tree-based machine learning (ML) algorithms, we exploited data from food safety audits to predict spatiotemporal patterns of salmonellosis in northwestern Italy. Data on human cases confirmed in 2015-2018 (n = 1969) and food surveillance data collected in 2014-2018 were used to develop ML algorithms. We integrated the monthly municipal human incidence with 27 potential predictors, including the observed prevalence of Salmonella in food. We applied the tree regression, random forest and gradient boosting algorithms considering different scenarios and evaluated their predictivity in terms of the mean absolute percentage error (MAPE) and R2. Using a similar dataset from the year 2019, spatiotemporal predictions and their relative sensitivities and specificities were obtained. Random forest and gradient boosting (R2 = 0.55, MAPE = 7.5%) outperformed the tree regression algorithm (R2 = 0.42, MAPE = 8.8%). Salmonella prevalence in food; spatial features; and monitoring efforts in ready-to-eat milk, fruits and vegetables, and pig meat products contributed the most to the models' predictivity, reducing the variance by 90.5%. Conversely, the number of positive samples obtained for specific food matrices minimally influenced the predictions (2.9%). Spatiotemporal predictions for 2019 showed sensitivity and specificity levels of 46.5% (due to the lack of some infection hotspots) and 78.5%, respectively. This study demonstrates the added value of integrating data from human and veterinary health services to develop predictive models of human salmonellosis occurrence, providing early warnings useful for mitigating foodborne disease impacts on public health.


Subject(s)
Disease Outbreaks , Machine Learning , Salmonella Food Poisoning , Italy/epidemiology , Disease Outbreaks/veterinary , Disease Outbreaks/prevention & control , Humans , Salmonella Food Poisoning/prevention & control , Salmonella Food Poisoning/epidemiology , Animals , Salmonella/physiology , Food Microbiology , Foodborne Diseases/prevention & control , Foodborne Diseases/epidemiology , Foodborne Diseases/microbiology , Prevalence , Salmonella Infections/epidemiology , Salmonella Infections/prevention & control
8.
Przegl Epidemiol ; 77(4): 504-519, 2024 May 20.
Article in English, Polish | MEDLINE | ID: mdl-38783660

ABSTRACT

AIM: The aim of the article is to present and assess the epidemiological situation of salmonellosis in Poland in 2021, in relation to previous years. MATERIAL AND METHODS: The assessment of the epidemiological situation of salmonellosis in Poland was made on the basis of individual data on salmonellosis cases, entered by sanitary-epidemiological stations into the EpiBaza System, data on outbreaks caused by Salmonella bacilli from the Registry of Epidemic Outbreaks System (ROE), as well as on the basis of aggregated data published in the annual bulletins "Infectious Diseases and Poisoning in Poland" (NIPH NIH - NRI, GIS, Warsaw), including information sent by laboratories of sanitary-epidemiological stations, data from the article on the epidemiological situation of salmonellosis in Poland in 2020 and data from the Demographic Research Department of the Central Statistical Office. RESULTS: In 2021, in Poland sanitary-epidemiological stations registered 8,294 cases of salmonellosis - 8,014 cases of intestinal salmonellosis and 280 extra-intestinal salmonellosis, including 190 cases of salmonellosis septicemia. The incidence rate for total salmonellosis was 21.7/100,000 population, for intestinal salmonellosis 21.0, for salmonellosis septicemia 0.50, and 0.23 per 100,000 population for other extra-intestinal infections of salmonellosis etiology. The reported 7,988 cases were classified as confirmed and 306 as probable. There were 5,127 hospitalizations due to salmonellosis, mainly children and the elderly. The peak of the incidence was registered in July. The highest incidence rate of salmonellosis in 2021 was recorded in the Podkarpackie voivodeship (39.8/100,000 population), the lowest in the Swietokrzyskie voivodeship (10.7/100,000 population). The highest incidence of intestinal salmonellosis was registered in the age group 0-4 years, accounting for 44.2% of the total number of cases. Among extra-intestinal infections, almost 62% of cases occurred in people aged 60+. In 2021, sanitary-epidemiological stations were detected and reported 229 outbreaks of food poisoning caused by Salmonella bacilli, 75% of them was Enteritidis serotype. In 2021, the most frequently isolated serotypes were S. Enteritidis 72%, S. Typhimurium (2%) and S. Infantis (0.5%). The serotype was not determined in 24.3% of cases. There were 24 imported cases of salmonellosis from different regions of the world. Due to Salmonella infection 11 people died in 2021. Laboratories of sanitary-epidemiological stations performed 438,183 tests for the presence of Salmonella and Shigella bacilli among humans, 92% of these tests concerned people working in contact with food. CONCLUSIONS: In 2021, there was an increase in the number of salmonellosis cases in Poland, compared to 2020. It can therefore be concluded that the COVID-19 pandemic did not have a long-term impact on reducing the number of Salmonella infections. At the same time, despite the increase, the situation of salmonellosis in Poland has not fully returned to the state before the COVID-19 pandemic.The area where we observe a significant difference, is the percentage of hospitalizations, which is the lowest in 2021 since 1998. It can be assumed, that one of the reasons for this, could be a stricter qualification of people with milder symptoms for hospital treatment, in favour of outpatient care.


Subject(s)
Disease Outbreaks , Registries , Rural Population , Salmonella Infections , Urban Population , Poland/epidemiology , Humans , Salmonella Infections/epidemiology , Child , Child, Preschool , Infant , Adolescent , Adult , Disease Outbreaks/statistics & numerical data , Incidence , Female , Middle Aged , Male , Infant, Newborn , Young Adult , Urban Population/statistics & numerical data , Age Distribution , Aged , Rural Population/statistics & numerical data , Registries/statistics & numerical data , Sex Distribution , Salmonella enteritidis/isolation & purification , Salmonella Food Poisoning/epidemiology , Aged, 80 and over
9.
Epidemiol Infect ; 152: e78, 2024 May 06.
Article in English | MEDLINE | ID: mdl-38705587

ABSTRACT

In September 2023, the UK Health Security Agency identified cases of Salmonella Saintpaul distributed across England, Scotland, and Wales, all with very low genetic diversity. Additional cases were identified in Portugal following an alert raised by the United Kingdom. Ninety-eight cases with a similar genetic sequence were identified, 93 in the United Kingdom and 5 in Portugal, of which 46% were aged under 10 years. Cases formed a phylogenetic cluster with a maximum distance of six single nucleotide polymorphisms (SNPs) and average of less than one SNP between isolates. An outbreak investigation was undertaken, including a case-control study. Among the 25 UK cases included in this study, 13 reported blood in stool and 5 were hospitalized. One hundred controls were recruited via a market research panel using frequency matching for age. Multivariable logistic regression analysis of food exposures in cases and controls identified a strong association with cantaloupe consumption (adjusted odds ratio: 14.22; 95% confidence interval: 2.83-71.43; p-value: 0.001). This outbreak, together with other recent national and international incidents, points to an increase in identifications of large outbreaks of Salmonella linked to melon consumption. We recommend detailed questioning and triangulation of information sources to delineate consumption of specific fruit varieties during Salmonella outbreaks.


Subject(s)
Disease Outbreaks , Salmonella Food Poisoning , Humans , Portugal/epidemiology , Male , Adult , Female , United Kingdom/epidemiology , Middle Aged , Child , Adolescent , Case-Control Studies , Young Adult , Aged , Child, Preschool , Salmonella Food Poisoning/epidemiology , Salmonella Food Poisoning/microbiology , Cucumis melo/microbiology , Salmonella/genetics , Salmonella/isolation & purification , Salmonella/classification , Infant , Aged, 80 and over , Phylogeny
10.
J Food Prot ; 87(7): 100304, 2024 Jul.
Article in English | MEDLINE | ID: mdl-38777091

ABSTRACT

Salmonella prevalence declined in U.S. raw poultry products since adopting prevalence-based Salmonella performance standards, but human illnesses did not reduce proportionally. We used Quantitative Microbial Risk Assessment (QMRA) to evaluate public health risks of raw chicken parts contaminated with different levels of all Salmonella and specific high- and low-virulence serotypes. Lognormal Salmonella level distributions were fitted to 2012 USDA-FSIS Baseline parts survey and 2023 USDA-FSIS HACCP verification sampling data. Three different Dose-Response (DR) approaches included (i) a single DR for all serotypes, (ii) DR that reduces Salmonella Kentucky ST152 virulence, and (iii) multiple serotype-specific DR models. All scenarios found risk concentrated in the few products with high Salmonella levels. Using a single DR model with Baseline data (µ = -3.19, σ = 1.29 Log CFU/g), 68% and 37% of illnesses were attributed to the 0.7% and 0.06% of products with >1 and >10 CFU/g Salmonella, respectively. Using distributions from 2023 HACCP data (µ = -5.53, σ = 2.45), 99.8% and 99.0% of illnesses were attributed to the 1.3% and 0.4% of products with >1 and >10 CFU/g Salmonella, respectively. Scenarios with serotype-specific DR models showed more concentrated risk at higher levels. Baseline data showed 92% and 67% and HACCP data showed >99.99% and 99.96% of illnesses attributed to products with >1 and >10 CFU/g Salmonella, respectively. Regarding serotypes using Baseline or HACCP input data, 0.002% and 0.1% of illnesses were attributed to the 0.2% and 0.4% of products with >1 CFU/g of Kentucky ST152, respectively, while 69% and 83% of illnesses were attributed to the 0.3% and 0.6% of products with >1 CFU/g of Enteritidis, Infantis, or Typhimurium, respectively. Therefore, public health risk in chicken parts is concentrated in finished products with high levels and specifically high levels of high-virulence serotypes. Low-virulence serotypes like Kentucky contribute few human cases.


Subject(s)
Chickens , Food Microbiology , Salmonella , Serogroup , Animals , Risk Assessment , Humans , Virulence , Food Contamination/analysis , Salmonella Food Poisoning/epidemiology , Salmonella Infections/epidemiology
11.
J Food Prot ; 87(7): 100303, 2024 Jul.
Article in English | MEDLINE | ID: mdl-38796114

ABSTRACT

Salmonella is estimated to be the leading bacterial cause of U.S. domestically acquired foodborne illness. Large outbreaks of Salmonella attributed to ground beef have been reported in recent years. The demographic and sociodemographic characteristics of infected individuals linked to these outbreaks are poorly understood. We employed a retrospective case-control design; case-patients were people with laboratory-confirmed Salmonella infections linked to ground beef-associated outbreaks between 2012 and 2019, and controls were respondents to the 2018-2019 FoodNet Population Survey who reported eating ground beef and denied recent gastrointestinal illness. We used county-level CDC/ATSDR Social Vulnerability Index (SVI) to compare case-patient and controls. Case-patient status was regressed on county-level social vulnerability and individual-level demographic characteristics. We identified 376 case-patients and 1,321 controls in the FoodNet sites. Being a case-patient was associated with increased overall county-level social vulnerability (OR: 1.21 [95% CI: 1.07-1.36]) and socioeconomic vulnerability (OR: 1.24 [1.05-1.47]) when adjusted for individual-level demographics. Case-patient status was not strongly associated with the other SVI themes of household composition and disability, minority status and language, and housing type and transportation. Data on individual-level factors such as income, poverty, unemployment, and education could facilitate further analyses to understand this relationship.


Subject(s)
Salmonella , Humans , Case-Control Studies , Male , Female , Adult , Middle Aged , Retrospective Studies , Adolescent , Young Adult , Salmonella Food Poisoning/epidemiology , Cattle , Animals , Disease Outbreaks , Salmonella Infections/epidemiology , Child , Aged , Child, Preschool , United States , Red Meat
12.
Am J Trop Med Hyg ; 111(1): 141-150, 2024 Jul 03.
Article in English | MEDLINE | ID: mdl-38744272

ABSTRACT

Nontyphoidal Salmonella is one of the major causes of self-limiting diarrheal disease and the most common foodborne pathogen worldwide. It is an important contributor to the burden of foodborne illness in South America, including Peru, where chicken and pork are important vehicles for Salmonella infection. Salmonella infections are underreported, particularly in low- and middle-income countries where concerted action tackling Salmonella along the chicken and pork chains, from primary production to retail, is urgently needed. To support and inform the implementation of new strategies to reduce Salmonella contamination of chicken and pork, this study describes the frequency and distribution of foodborne outbreaks attributed to Salmonella in Peru and evaluates the level of Salmonella in chicken and pork meat sold in markets of three regions of Peru. To that end, we analyzed historical reports of foodborne outbreaks, levels of Salmonella in chicken and pork sold in markets, and the number of mesophiles in the collected meat samples. As a result, the microbiological analysis reveals a widespread contamination of chicken (77.1%) and pork (26.8%) with Salmonella. It also pinpoints Salmonella as the causative agent in nearly half of the outbreaks (47.0%) where the potential origin is identified over a 11-year period with chicken, mayonnaise, and pork being the most likely food vehicles. These results suggest that Salmonella is a major contributor to foodborne illness in Peru and that the monitoring of mesophiles could be a good strategy for surveillance, generating data to support source attribution studies and ultimately evidence-informed policies.


Subject(s)
Chickens , Foodborne Diseases , Salmonella , Chickens/microbiology , Animals , Peru/epidemiology , Salmonella/isolation & purification , Swine , Humans , Foodborne Diseases/epidemiology , Foodborne Diseases/microbiology , Meat/microbiology , Disease Outbreaks , Food Microbiology , Salmonella Food Poisoning/epidemiology , Salmonella Food Poisoning/microbiology , Pork Meat/microbiology , Food Contamination/analysis
13.
Epidemiol Health ; 46: e2024036, 2024.
Article in English | MEDLINE | ID: mdl-38514199

ABSTRACT

OBJECTIVES: Salmonellosis outbreaks occurred at 2 restaurants 2 days apart, and an epidemiological investigation was conducted to determine whether the outbreaks were connected. METHODS: Case studies were conducted for both outbreaks. Stool samples were collected from individuals, and food samples were collected from the restaurants. Pulsed-field gel electrophoresis (PFGE) and whole-genome sequencing analyses were performed on outbreak-related Salmonella enterica serovar Enteritidis (Salmonella Enteritidis) isolates. Traceback investigations were also conducted for the ingredients from gimbap restaurants A and B. RESULTS: In total, 106 people from gimbap restaurant A and 5 from gimbap restaurant B met the case definition. Salmonella Enteritidis was detected in samples from 2 food handlers, 22 patients, and 1 food (iceberg lettuce) at gimbap restaurant A and from 1 patient at gimbap restaurant B. According to PFGE, all isolates were identified as SEGX01.089. The molecular typing of all isolates showed the same pattern, and the genetic distance was close according to phylogenetic analysis. Eggs were the only food ingredient that was supplied to both gimbap restaurants. CONCLUSIONS: The outbreaks were caused by Salmonella Enteritidis, and the source of infections was suspected to be contaminated eggs. To prevent foodborne outbreaks of Salmonella, restaurants should heat eggs sufficiently, and egg farms need to establish management systems that prevent Salmonella infections.


Subject(s)
Disease Outbreaks , Eggs , Restaurants , Salmonella Food Poisoning , Salmonella enteritidis , Humans , Restaurants/statistics & numerical data , Republic of Korea/epidemiology , Salmonella enteritidis/isolation & purification , Female , Salmonella Food Poisoning/epidemiology , Salmonella Food Poisoning/microbiology , Male , Adult , Eggs/microbiology , Middle Aged , Child, Preschool , Young Adult , Child , Aged , Food Microbiology/statistics & numerical data , Adolescent , Salmonella Infections/epidemiology
14.
Euro Surveill ; 29(10)2024 Mar.
Article in English | MEDLINE | ID: mdl-38456218

ABSTRACT

In September 2022, the Public Health Agency of Sweden observed an increase in domestic Salmonella Typhimurium cases through the Swedish electronic notification system, and an outbreak strain was identified with whole genome sequencing. Overall, 109 cases with symptom onset between 17 September and 24 November 2022 were reported from 20 of 21 Swedish regions. The median age of cases was 52 years (range 4-87 years) and 62% were female. A case-control study found cases to be associated with consumption of rocket salad (adjusted odds ratio (aOR) = 4.9; 95% confidence interval (CI): 2.4-10, p value < 0.001) and bagged mixed salad (aOR = 4.0; 95% CI: 1.9-8.1, p value < 0.001). Trace-back, supported by Finnish authorities who identified the Swedish outbreak strain in a Finnish cluster during the same time period, identified rocket salad, cultivated, pre-washed and pre-packed in Sweden as the likely source of the outbreak. No microbiological analyses of rocket salad were performed. Our investigation indicates that bagged leafy greens such as rocket salad, regardless of pre-washing procedures in the production chain, may contain Salmonella and cause outbreaks, posing a health risk to consumers. We emphasise the need for primary producers of leafy greens to identify possible contamination points to prevent outbreaks.


Subject(s)
Salads , Salmonella Food Poisoning , Humans , Female , Child, Preschool , Child , Adolescent , Young Adult , Adult , Middle Aged , Aged , Aged, 80 and over , Male , Salmonella typhimurium/genetics , Salmonella Food Poisoning/epidemiology , Salmonella Food Poisoning/microbiology , Sweden/epidemiology , Case-Control Studies , Disease Outbreaks
15.
Sci Data ; 11(1): 244, 2024 Feb 27.
Article in English | MEDLINE | ID: mdl-38413596

ABSTRACT

Infectious disease outbreaks transcend the medical and public health realms, triggering widespread panic and impeding socio-economic development. Considering that self-limiting diarrhoea of sporadic cases is usually underreported, the Salmonella outbreak (SO) study offers a unique opportunity for source tracing, spatiotemporal correlation, and outbreak prediction. To summarize the pattern of SO and estimate observational epidemiological indicators, 1,134 qualitative reports screened from 1949 to 2023 were included in the systematic review dataset, which contained a 506-study meta-analysis dataset. In addition to the dataset comprising over 50 columns with a total of 46,494 entries eligible for inclusion in systematic reviews or input into prediction models, we also provide initial literature collection datasets and datasets containing socio-economic and climate information for relevant regions. This study has a broad impact on advancing knowledge regarding epidemic trends and prevention priorities in diverse salmonellosis outbreaks and guiding rational policy-making or predictive modeling to mitigate the infringement upon the right to life imposed by significant epidemics.


Subject(s)
Disease Outbreaks , Salmonella Food Poisoning , Salmonella Infections , Humans , China/epidemiology , Data Collection , Salmonella , Salmonella Food Poisoning/epidemiology , Salmonella Infections/epidemiology , Systematic Reviews as Topic , Meta-Analysis as Topic
16.
Foodborne Pathog Dis ; 21(5): 316-322, 2024 May.
Article in English | MEDLINE | ID: mdl-38354216

ABSTRACT

In China, Salmonella is one of the most frequent causes of bacterial gastroenteritis, and food handlers in restaurants as an important contaminated source were rarely reported. In May 2023, an outbreak of Salmonella enterica serovar Enteritidis infection in a restaurant in Jiangxi Province, China, was investigated. Cases were interviewed. Stool samples from cases, anal swabs from restaurant employees, suspicious raw food materials, and semifinished food were collected and examined. Pulsed-field gel electrophoresis (PFGE) and whole genome sequencing (WGS) were performed to determine the relatedness of the pathogen isolates. Antimicrobial resistance genes and virulence genes of isolates were analyzed by WGS. The antimicrobial profile of the isolates was detected by broth microdilution, which involved 20 different antibiotics. Among the 31 patrons, 26 showed gastrointestinal symptoms. Five Salmonella Enteritidis strains were isolated from patients (2), semifinished food (2), and food handler (1). The results of PFGE and single-nucleotide polymorphism showed that these five isolates were identical clones. These findings demonstrated that this outbreak was a restaurant Salmonella Enteritidis outbreak associated with an infected food handler. The rates of resistance to nalidixic acid and colistin and intermediate resistance to ciprofloxacin were 100%, 80%, and 100%, respectively. These outbreak isolates harbored point mutation gyrA p.D87G. The cause of inconsistency between the genotype and phenotype of resistance was deeply discussed. A total of 107 virulence genes were found in each isolate, with many being associated with Salmonella pathogenicity island (SPI)-1 and SPI-2. As an overlooked contamination source, infected food handlers can easily cause large-scale outbreaks. This outbreak highlighted that the government should enhance the training and supervision of food hygiene and safety for food handlers to prevent foodborne outbreaks.


Subject(s)
Disease Outbreaks , Restaurants , Salmonella Food Poisoning , Salmonella enteritidis , Whole Genome Sequencing , Humans , Salmonella enteritidis/genetics , Salmonella enteritidis/isolation & purification , Salmonella enteritidis/drug effects , China/epidemiology , Salmonella Food Poisoning/epidemiology , Salmonella Food Poisoning/microbiology , Anti-Bacterial Agents/pharmacology , Food Handling , Male , Female , Food Microbiology , Adult , Electrophoresis, Gel, Pulsed-Field , Microbial Sensitivity Tests , Middle Aged , Feces/microbiology , Genome, Bacterial
17.
Pediatr Infect Dis J ; 43(5): 420-424, 2024 May 01.
Article in English | MEDLINE | ID: mdl-38285510

ABSTRACT

BACKGROUND: A large, cross-border outbreak of nontyphoidal salmonellosis connected to chocolate product consumption was recently reported. This occurrence motivated us to conduct a comprehensive review of existing literature concerning outbreaks of nontyphoidal salmonellosis associated with chocolate consumption. METHODS: We performed a systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines (PROSPERO CRD42022369023) in 3 databases: U.S. National Library of Medicine, Web of Science and Excerpta Medica. Google Scholar and the bibliography of each identified report were also screened. Eligible were articles published after 1970, describing outbreaks of more than 10 patients with a nontyphoidal salmonellosis associated with chocolate consumption. RESULTS: Twenty-three articles were included, which described 12 outbreaks involving a total of 3266 patients. All outbreaks occurred in high-income countries: 1 was limited to 1 city, 6 involved 1 country and the remaining 5 involved 2 or more countries. Six outbreaks peaked in winter, 3 in autumn, 2 in spring and 1 in summer. Children were mainly affected. No predominant serotype was identified. CONCLUSIONS: Our data documents that chocolate is an optimal medium for the transmission of nontyphoidal salmonellosis. A connected worldwide reporting system including high-income, middle-income and low-income countries is crucial to detect infectious diseases outbreaks in an early phase and avoid their spread.


Subject(s)
Chocolate , Disease Outbreaks , Salmonella Food Poisoning , Humans , Salmonella Food Poisoning/epidemiology , Salmonella Food Poisoning/microbiology , Salmonella/classification , Salmonella Infections/epidemiology , Child , Food Microbiology
18.
Euro Surveill ; 29(1)2024 01.
Article in English | MEDLINE | ID: mdl-38179625

ABSTRACT

A genomic cluster of Salmonella Braenderup ST22, a serovar of Salmonella enterica subsp. enterica which causes symptoms of gastrointestinal illness, was notified by Danish authorities to the European Centre for Disease Prevention and Control (ECDC) on 3 May 2021. By 6 July 2021, S. Braenderup outbreak cases (n = 348) had been reported from 12 countries in the European Union/European Economic Area (EU/EEA) and the United Kingdom (UK), including 68 hospitalised cases. With support from affected EU/EEA countries, and in partnership with the European Food Safety Authority (EFSA), ECDC established an international outbreak investigation team to rapidly identify the source and prevent outbreak spread. Consumption information was shared with affected countries through a standard line list, revealing that 124 of 197 cases (63%) reported having eaten (any) melons within 7 days prior to disease onset. The speed and completeness of the investigation, which identified the outbreak vehicle as galia melons imported from Honduras in June 2021, was a direct result of extensive collaboration and information sharing between countries' national food safety and public health authorities. This article describes the outbreak and the benefits, successes, and challenges of multi-country collaboration for consideration in future large foodborne outbreaks across Europe.


Subject(s)
Salmonella Food Poisoning , Salmonella enterica , Humans , Salmonella/genetics , Disease Outbreaks , Europe/epidemiology , Salmonella Food Poisoning/epidemiology , Salmonella enterica/genetics
20.
Foodborne Pathog Dis ; 21(3): 137-146, 2024 Mar.
Article in English | MEDLINE | ID: mdl-38032610

ABSTRACT

Salmonella is one of the main causes of human foodborne illness. It is endemic worldwide, with different animals and animal-based food products as reservoirs and vehicles of infection. Identifying animal reservoirs and potential transmission pathways of Salmonella is essential for prevention and control. There are many approaches for source attribution, each using different statistical models and data streams. Some aim to identify the animal reservoir, while others aim to determine the point at which exposure occurred. With the advance of whole-genome sequencing (WGS) technologies, new source attribution models will greatly benefit from the discriminating power gained with WGS. This review discusses some key source attribution methods and their mathematical and statistical tools. We also highlight recent studies utilizing WGS for source attribution and discuss open questions and challenges in developing new WGS methods. We aim to provide a better understanding of the current state of these methodologies with application to Salmonella and other foodborne pathogens that are common sources of illness in the poultry and human sectors.


Subject(s)
Foodborne Diseases , Salmonella Food Poisoning , Salmonella Infections , Animals , Humans , Salmonella Infections/microbiology , Salmonella Food Poisoning/epidemiology , Salmonella Food Poisoning/microbiology , Salmonella/genetics , Foodborne Diseases/microbiology , Whole Genome Sequencing
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