2017
DOI: 10.2743/jve.21.55
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Risk Assessment of Campylobacteriosis Due to Consumption of Roast Beef Served in Beer Bars in Arusha, Tanzania

Abstract: SummaryThe objective of the study was to assess the risk of campylobacteriosis due to consumption of cross-contaminated nyama-choma (roast beef) sold in beer bars in Arusha Municipality, Tanzania. In 2010, thirty butchers and thirty beer bars serving roast beef, selected using stratified random sampling, were visited to estimate the prevalence and the most probable number (MPN) of thermophilic Campylobacter in raw and roast beef. Ten purposively selected bars serving roast chicken were also surveyed, to assess… Show more

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Cited by 3 publications
(1 citation statement)
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“…To estimate the distributions of Salmonella concentration on pork slice in the scenarios, both non-parametric and parametric bootstrapping techniques were used. Bacterial concentration was measured as MPN/g (note that MPN/g and CFU/g hereafter is at the original bacterial count scale), and thus follows Log-Normal distribution with the mean MPN/g, and the standard deviation in log 10 scale ( sd log10 ) determined as shown in Equation (1) [ 31 , 32 ]: where α is dilution ratio, ten. For the parametric bootstrapping in R, rlnorm(1, ln μ , sd ln ) function was used to sample a single value from Log-Normal distribution, where ln μ is the natural logarithm of the MPN, and sd ln is the standard deviation in the natural logarithm scale.…”
Section: Methodsmentioning
confidence: 99%
“…To estimate the distributions of Salmonella concentration on pork slice in the scenarios, both non-parametric and parametric bootstrapping techniques were used. Bacterial concentration was measured as MPN/g (note that MPN/g and CFU/g hereafter is at the original bacterial count scale), and thus follows Log-Normal distribution with the mean MPN/g, and the standard deviation in log 10 scale ( sd log10 ) determined as shown in Equation (1) [ 31 , 32 ]: where α is dilution ratio, ten. For the parametric bootstrapping in R, rlnorm(1, ln μ , sd ln ) function was used to sample a single value from Log-Normal distribution, where ln μ is the natural logarithm of the MPN, and sd ln is the standard deviation in the natural logarithm scale.…”
Section: Methodsmentioning
confidence: 99%