Literature DB >> 8856377

Assessment of the dose-response relationship of Campylobacter jejuni.

G J Medema1, P F Teunis, A H Havelaar, C N Haas.   

Abstract

Mathematical relations describing the risk of infection after exposure to enteropathogens are important tools for the evaluation of the potential health risk from exposure via food and water. A quantitative description of the dose-response relation for Campylobacter jejuni with the Beta-Poisson model was fitted to experimental data of infection with Campylobacter jejuni (as determined by shedding of C. jejuni) obtained in human feeding studies performed by Black et al. (1988). The maximum likelihood estimates for the Beta-Poisson model parameters based on these data are: alpha = 0.145 and beta = 7.59. The fit of the model on the experimental data was good: the difference between the likelihood obtained with the Beta-Poisson model and the maximum possible likelihood was not significant. The occurrence of symptoms of intestinal illness did not follow a similar dose-related trend. Overall, 22% of the infected volunteers developed symptoms (diarrhea, fever). The highest illness-to-infection ratio was found at an intermediate dose (9 x 10(4)). The dose-response relation and the illness-to-infection ratio appeared to differ between different C. jejuni isolates. The dose-response relation derived from feeding studies with a single isolate should therefore be considered indicative. The absence of experimental data in the low dose range resulted in a relatively large confidence interval at low doses. However, in cases where the dose-response relation has been applied so far to estimate the health risk of exposure to C. jejuni in water, the uncertainty in the dose-response relation was insignificant compared to the uncertainty in the exposure estimate.

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Year:  1996        PMID: 8856377     DOI: 10.1016/0168-1605(96)00994-4

Source DB:  PubMed          Journal:  Int J Food Microbiol        ISSN: 0168-1605            Impact factor:   5.277


  14 in total

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Journal:  Appl Environ Microbiol       Date:  2008-07-11       Impact factor: 4.792

2.  Alternative hand contamination technique to compare the activities of antimicrobial and nonantimicrobial soaps under different test conditions.

Authors:  Janice L Fuls; Nancy D Rodgers; George E Fischler; Jeanne M Howard; Monica Patel; Patrick L Weidner; Melani H Duran
Journal:  Appl Environ Microbiol       Date:  2008-04-25       Impact factor: 4.792

Review 3.  Global Epidemiology of Campylobacter Infection.

Authors:  Nadeem O Kaakoush; Natalia Castaño-Rodríguez; Hazel M Mitchell; Si Ming Man
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4.  Modeling Invasion of Campylobacter jejuni into Human Small Intestinal Epithelial-Like Cells by Bayesian Inference.

Authors:  Hiroki Abe; Kento Koyama; Shigenobu Koseki
Journal:  Appl Environ Microbiol       Date:  2020-12-17       Impact factor: 4.792

5.  Human health impact of non-potable reuse of distributed wastewater and greywater treated by membrane bioreactors.

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Journal:  Microb Risk Anal       Date:  2018-08

6.  Contamination Scenario Matters when Using Viral and Bacterial Human-Associated Genetic Markers as Indicators of a Health Risk in Untreated Sewage-Impacted Recreational Waters.

Authors:  Mary E Schoen; Alexandria B Boehm; Jeffrey Soller; Orin C Shanks
Journal:  Environ Sci Technol       Date:  2020-10-08       Impact factor: 9.028

7.  Comparison of pathogen-derived 'total risk' with indicator-based correlations for recreational (swimming) exposure.

Authors:  Neha Sunger; Kerry A Hamilton; Paula M Morgan; Charles N Haas
Journal:  Environ Sci Pollut Res Int       Date:  2018-04-11       Impact factor: 4.223

8.  Pathogen survival trajectories: an eco-environmental approach to the modeling of human campylobacteriosis ecology.

Authors:  Chris Skelly; Phil Weinstein
Journal:  Environ Health Perspect       Date:  2003-01       Impact factor: 9.031

9.  Reaction of antibodies to Campylobacter jejuni and cytolethal distending toxin B with tissues and food antigens.

Authors:  Aristo Vojdani; Elroy Vojdani
Journal:  World J Gastroenterol       Date:  2019-03-07       Impact factor: 5.742

10.  Quantitative Microbial Risk Assessment for Contaminated Private Wells in the Fractured Dolomite Aquifer of Kewaunee County, Wisconsin.

Authors:  Tucker R Burch; Joel P Stokdyk; Susan K Spencer; Burney A Kieke; Aaron D Firnstahl; Maureen A Muldoon; Mark A Borchardt
Journal:  Environ Health Perspect       Date:  2021-06-23       Impact factor: 9.031

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