Evaluating food safety management systems in Singapore: A controlled interrupted time-series analysis of foodborne disease outbreak reports

Aik, Joel; Turner, Robin; Kirk, Martyn; Heywood, Anita E.; Newall, Anthony T.

doi:10.1016/j.foodcont.2020.107324

Cited by 21 publications

(11 citation statements)

References 27 publications

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“…1 For n < 20, practices were not on-going and could not be observed/assessed at the time of study visit. 2 Temperature control at transport-hot food kept in food warmers, chilled food on ice. 3 Sanitary condition-physically clean, orderly.…”

Section: Risk Scores Related To Temperature Control Cross-contaminati...mentioning

confidence: 99%

Food Safety Controls during Bulk Food Preparation—An Observational Analysis

Hartantyo¹,

Selvaraj²,

Ho³

et al. 2023

Foods

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Seeing the palpable impact of food poisoning associated with catering operations, we surveyed caterers with and without past hygiene violations to examine staffing, food safety practices and correlations with microbial counts in food and the processing environment. Past infringements did not negatively impact the current execution of food safety measures nor the microbial quality of food. In preference to added stringencies for errant operators, we discuss alternative efforts to augment food safety, as well as the policy implications thereof.

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Section: Risk Scores Related To Temperature Control Cross-contaminati...mentioning

confidence: 99%

Food Safety Controls during Bulk Food Preparation—An Observational Analysis

Hartantyo¹,

Selvaraj²,

Ho³

et al. 2023

Foods

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show abstract

“…Generalized autoregressive and moving average models (GSARIMA) were used to fit the number of reports of Salmonella enterica serovar Enteritidis cases in Sydney, Australia from 2014 to 2016 to alert future infectious outbreaks associated with high-risk foods [25]. A controlled interruption time series analysis was used to assess the impact of food safety management systems (FSMS) on foodborne disease outbreaks and food hygiene violations in Singapore [26]. The daily minimum temperature was significantly and positively correlated with salmonellosis and campylobacteriosis in South Korea on a monthly scale, with no lag period [27] found.…”

Section: Introductionmentioning

confidence: 99%

Comprehensive Dynamic Influence of Multiple Meteorological Factors on the Detection Rate of Bacterial Foodborne Diseases under Spatio-Temporal Heterogeneity

Guo

Yao

et al. 2023

IJERPH

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Foodborne diseases are a critical public health problem worldwide and significantly impact human health, economic losses, and social dynamics. Understanding the dynamic relationship between the detection rate of bacterial foodborne diseases and a variety of meteorological factors is crucial for predicting outbreaks of bacterial foodborne diseases. This study analyzed the spatio-temporal patterns of vibriosis in Zhejiang Province from 2014 to 2018 at regional and weekly scales, investigating the dynamic effects of various meteorological factors. Vibriosis had a significant temporal and spatial pattern of aggregation, and a high incidence period occurred in the summer seasons from June to August. The detection rate of Vibrio parahaemolyticus in foodborne diseases was relatively high in the eastern coastal areas and northwestern Zhejiang Plain. Meteorological factors had lagging effects on the detection rate of V. parahaemolyticus (3 weeks for temperature, 8 weeks for relative humidity, 8 weeks for precipitation, and 2 weeks for sunlight hours), and the lag period varied in different spatial agglomeration regions. Therefore, disease control departments should launch vibriosis prevention and response programs that are two to eight weeks in advance of the current climate characteristics at different spatio-temporal clustering regions.

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“…Viruses commonly reported are Norovirus and Hepatitis A, while examples of parasites involved are Cryptosporidium spp, Giardia lamblia , Trichinella spiralis , Cyclospora spp, Toxoplasma canis, and Entamoeba histolytica ( Stryinski et al, 2020 ; Bozkurt et al, 2021 ; Lee and Yoon, 2021 ; Segeritz et al, 2021 ; Patel et al, 2022 ). Typical symptoms of foodborne illness include abdominal pain, diarrhea, vomiting, nausea, fever, difficulty breathing, and even death in severe cases ( Abebe et al, 2020 ; Aik et al, 2020 ; Myintzaw et al, 2021 ; Sun et al, 2021 ; Janekrongtham et al, 2022 ). These symptoms are caused by ingested pathogens, such as foodborne infections ( Salmonellosis , Listeriosis , etc.)…”

Section: Introductionmentioning

confidence: 99%

Research progress on detection techniques for point-of-care testing of foodborne pathogens

Zhao

Huang

et al. 2022

Front. Bioeng. Biotechnol.

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The global burden of foodborne disease is enormous and foodborne pathogens are the leading cause of human illnesses. The detection of foodborne pathogenic bacteria has become a research hotspot in recent years. Rapid detection methods based on immunoassay, molecular biology, microfluidic chip, metabolism, biosensor, and mass spectrometry have developed rapidly and become the main methods for the detection of foodborne pathogens. This study reviewed a variety of rapid detection methods in recent years. The research advances are introduced based on the above technical methods for the rapid detection of foodborne pathogenic bacteria. The study also discusses the limitations of existing methods and their advantages and future development direction, to form an overall understanding of the detection methods, and for point-of-care testing (POCT) applications to accurately and rapidly diagnose and control diseases.

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Evaluating food safety management systems in Singapore: A controlled interrupted time-series analysis of foodborne disease outbreak reports

Cited by 21 publications

References 27 publications

Food Safety Controls during Bulk Food Preparation—An Observational Analysis

Food Safety Controls during Bulk Food Preparation—An Observational Analysis

Comprehensive Dynamic Influence of Multiple Meteorological Factors on the Detection Rate of Bacterial Foodborne Diseases under Spatio-Temporal Heterogeneity

Research progress on detection techniques for point-of-care testing of foodborne pathogens

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