A risk assessment of pathogenic Streptococcus suis in pork supply chains and markets in Thailand

Wongnak, Phrutsamon; Wiratsudakul, Anuwat; Nuanualsuwan, Suphachai

doi:10.1016/j.foodcont.2020.107432

Cited by 8 publications

(19 citation statements)

References 22 publications

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“…In this study, the DR models of HEV were developed by fitting the DR model to a chimpanzee study (Mccaustland et al., 2000). Fitting the DR model was reported previously (Haas et al., 1999; Wongnak, Wiratsudakul, & Nuanualsuwan, 2020). The notation of observed clinical hepatitis rate corresponding to four HEV inoculum sets is

\pi _i^o = \frac{{{p_i}}}{{{n_i}}}

where p is positive subjects and n is number of subjects in the set i , while that of the predicted hepatitis rate based on two candidate DR models is

{\pi _i} = {P_i}( {{d_i};\theta } )

, where θ is candidate DR model parameter (Haas et al., 1999).…”

Section: Methodsmentioning

confidence: 95%

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Quantitative Risk Assessments of Hepatitis A Virus and Hepatitis E Virus from Raw Oyster Consumption

et al. 2021

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A quantitative risk assessment of hepatitis A virus (HAV) and hepatitis E virus (HEV) from raw oyster consumption from farm and retail was evaluated over three seasons. This risk assessment comprises four steps: hazard identification, dose–response assessment, exposure assessment, and risk characterization. We used probabilistic models for prevalence, concentration, and oyster consumption. HEV dose–response (DR) model based on HEV dosing in chimpanzees and used to perform a dose–response assessment of HEV was proposed. Both HAV and HEV were simultaneously enumerated by real‐time PCR to determine viral doses. The probabilistic prevalences of HAV and HEV were in the ranges of 8–20% and 8–40%, respectively. The best‐fit DR model was the beta‐Poisson with alpha and N50 equal to 216.9 and 3.03 × 107, respectively. After running the Monte Carlo simulation, the annual cases of foodborne hepatitis A and hepatitis E from raw oyster consumption from farms were 9,264–17,526 and 1–604, respectively, while those at retail were 7,694–14,591 and 1–204, respectively. This study suggested that consuming farm oysters poses a significantly higher risk of hepatitis A than hepatitis E. The best‐fit DR model for HEV developed in this study could determine risks of hepatitis E from raw oyster consumption in Thailand.

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\pi _i^o = \frac{{{p_i}}}{{{n_i}}}

where p is positive subjects and n is number of subjects in the set i , while that of the predicted hepatitis rate based on two candidate DR models is

{\pi _i} = {P_i}( {{d_i};\theta } )

, where θ is candidate DR model parameter (Haas et al., 1999).…”

Section: Methodsmentioning

confidence: 95%

“…In this study, the DR models of HEV were developed by fitting the DR model to a chimpanzee study (Mccaustland et al, 2000). Fitting the DR model was reported previously (Haas et al, 1999;Wongnak, Wiratsudakul, & Nuanualsuwan, 2020). The notation of observed clinical hepatitis rate corresponding to four HEV inoculum sets is…”

Section: Dose-response Assessmentmentioning

confidence: 99%

Quantitative Risk Assessments of Hepatitis A Virus and Hepatitis E Virus from Raw Oyster Consumption

et al. 2021

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“…Up to 6 suspected colonies per sample were isolated for further identification and confirmation using a biochemical and molecular technique. The presumptive biochemical tests are the catalase test, growth of isolate in the presence of sodium chloride and the starch hydrolysis test (Wongnak et al, 2020).…”

Section: Enumerationmentioning

confidence: 99%

“…This probability describes the likelihood of getting at least 1 cfu of S. suis. The model to calculate P E requires variables which are probabilistic prevalence (in the case of no positive sample) and the weekly dose of S. suis ingested (Wongnak et al, 2020) as shown in the following equation:…”

Section: Exposure Assessmentmentioning

confidence: 99%

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Cross‐sectional risk assessment of zoonotic Streptococcus suis in pork and swine blood in Nakhon Sawan Province in northern Thailand

Khantasup

Tungwongjulaniam

Theerawat

et al. 2022

Zoonoses and Public Health

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A cross‐sectional study evaluated the risk of zoonotic Streptococcus suis (S. suis) illness from consuming raw pork and swine blood in Nakhon Sawan Province. A four‐step risk assessment recommended by the Codex Alimentarius Commission was used to evaluate the risk along the pork supply chain. A total of 480 pork and swine blood samples were collected from the abattoir (n = 120) and retail (n = 360) during December 2020 and January 2021. Streptococcus suis in samples was enumerated using a culture‐based technique and then confirmed by the biochemical and molecular technique. Streptococcus suis was serotyped by matrix‐assisted laser desorption/ionization time‐of‐flight mass spectrometry. Two positive swine blood samples were contaminated with non‐zoonotic S. suis serotype 23 at retail. In the case of all negative samples, the deterministic prevalence becomes zero and then the risk could not be estimated. Otherwise, the beta probability distribution was used to describe the probabilistic prevalence, while the maximum likelihood estimator was applied to estimate the upper limit of a probability distribution of concentration. The district averages of probabilistic prevalences of zoonotic S. suis in pork products at abattoir and retail were 9.9% and 4.1%, respectively. The district averages of concentrations of zoonotic S. suis in pork and blood samples from abattoir were 6.8 × 10−3 cfu/g and 6.83 cfu/ml and in pork and blood samples from retail were 2.3 × 10−3 cfu/g and 2.30 cfu/ml, respectively. The overall annual risk estimate per 100,000 population in pork and swine blood from abattoir and retail were 9.8 × 10−11, 2.2 × 10−6, 5.4 × 10−13, and 8.3 × 10−8. These risk estimates were negligible (<10−6) except for the annual risk estimate in swine blood from the abattoir. The results from this cross‐sectional risk assessment should prompt the food safety regulator to cautiously sample by taking into account the duration of sampling and sample size.

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Quantitative risk assessment of staphylococcal enterotoxin A (SEA) in pork in metropolitan Bangkok, Thailand

Sirotamarat¹,

Hinjoy²,

Chuxnum³

et al. 2022

LWT

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A risk assessment of pathogenic Streptococcus suis in pork supply chains and markets in Thailand

Cited by 8 publications

References 22 publications

Quantitative Risk Assessments of Hepatitis A Virus and Hepatitis E Virus from Raw Oyster Consumption

Quantitative Risk Assessments of Hepatitis A Virus and Hepatitis E Virus from Raw Oyster Consumption

Cross‐sectional risk assessment of zoonotic Streptococcus suis in pork and swine blood in Nakhon Sawan Province in northern Thailand

Quantitative risk assessment of staphylococcal enterotoxin A (SEA) in pork in metropolitan Bangkok, Thailand

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