Literature DB >> 29022517

Do contamination of and exposure to chicken meat and water drive the temporal dynamics of Campylobacter cases?

J M David1, F Pollari2, K D M Pintar2, A Nesbitt2, A J Butler2, A Ravel3.   

Abstract

Campylobacteriosis, the most frequent bacterial enteric disease, shows a clear yet unexplained seasonality. The study purpose was to explore the influence of seasonal fluctuation in the contamination of and in the behaviour exposures to two important sources of Campylobacter on the seasonality of campylobacteriosis. Time series analyses were applied to data collected through an integrated surveillance system in Canada in 2005-2010. Data included sporadic, domestically-acquired cases of Campylobacter jejuni infection, contamination of retail chicken meat and of surface water by C. jejuni, and exposure to each source through barbequing and swimming in natural waters. Seasonal patterns were evident for all variables with a peak in summer for human cases and for both exposures, in fall for chicken meat contamination, and in late fall for water contamination. Time series analyses showed that the observed campylobacteriosis summer peak could only be significantly linked to behaviour exposures rather than sources contamination (swimming rather than water contamination and barbequing rather than chicken meat contamination). The results indicate that the observed summer increase in human cases may be more the result of amplification through more frequent risky exposures rather than the result of an increase of the Campylobacter source contamination.

Entities:  

Keywords:  zzm321990 Campylobacter jejunizzm321990 ; Campylobacteriosis; chicken; contamination; exposure; seasonality; time series analyses; water

Mesh:

Year:  2017        PMID: 29022517      PMCID: PMC9148771          DOI: 10.1017/S0950268817002199

Source DB:  PubMed          Journal:  Epidemiol Infect        ISSN: 0950-2688            Impact factor:   4.434


  37 in total

1.  Expert elicitation as a means to attribute 28 enteric pathogens to foodborne, waterborne, animal contact, and person-to-person transmission routes in Canada.

Authors:  Ainslie J Butler; M Kate Thomas; Katarina D M Pintar
Journal:  Foodborne Pathog Dis       Date:  2015-04       Impact factor: 3.171

2.  Temperature dependence of reported Campylobacter infection in England, 1989-1999.

Authors:  C C Tam; L C Rodrigues; S J O'Brien; S Hajat
Journal:  Epidemiol Infect       Date:  2006-02       Impact factor: 2.451

3.  Baseline data from a Belgium-wide survey of Campylobacter species contamination in chicken meat preparations and considerations for a reliable monitoring program.

Authors:  Ihab Habib; Imca Sampers; Mieke Uyttendaele; Dirk Berkvens; Lieven De Zutter
Journal:  Appl Environ Microbiol       Date:  2008-07-11       Impact factor: 4.792

4.  Seasonal influence on the prevalence of thermotolerant Campylobacter in retail broiler meat in Denmark.

Authors:  Louise Boysen; Håkan Vigre; Hanne Rosenquist
Journal:  Food Microbiol       Date:  2011-02-27       Impact factor: 5.516

5.  Temporal patterns of Campylobacter contamination on chicken and their relationship to campylobacteriosis cases in the United States.

Authors:  Michael S Williams; Neal J Golden; Eric D Ebel; Emily T Crarey; Heather P Tate
Journal:  Int J Food Microbiol       Date:  2015-05-29       Impact factor: 5.277

6.  The seasonality of human campylobacter infection and Campylobacter isolates from fresh, retail chicken in Wales.

Authors:  R J Meldrum; J K Griffiths; R M M Smith; M R Evans
Journal:  Epidemiol Infect       Date:  2005-02       Impact factor: 2.451

7.  Development and validation of a comparative genomic fingerprinting method for high-resolution genotyping of Campylobacter jejuni.

Authors:  Eduardo N Taboada; Susan L Ross; Steven K Mutschall; Joanne M Mackinnon; Michael J Roberts; Cody J Buchanan; Peter Kruczkiewicz; Cassandra C Jokinen; James E Thomas; John H E Nash; Victor P J Gannon; Barbara Marshall; Frank Pollari; Clifford G Clark
Journal:  J Clin Microbiol       Date:  2011-12-14       Impact factor: 5.948

8.  A one-year study of campylobacter carriage by individual Danish broiler chickens as the basis for selection of Campylobacter spp. strains for a chicken infection model.

Authors:  D D Bang; E M Nielsen; K Knudsen; M Madsen
Journal:  Epidemiol Infect       Date:  2003-04       Impact factor: 2.451

9.  Time-series analysis of Campylobacter incidence in Switzerland.

Authors:  W Wei; G Schüpbach; L Held
Journal:  Epidemiol Infect       Date:  2014-11-17       Impact factor: 2.451

10.  Climate variability, weather and enteric disease incidence in New Zealand: time series analysis.

Authors:  Aparna Lal; Takayoshi Ikeda; Nigel French; Michael G Baker; Simon Hales
Journal:  PLoS One       Date:  2013-12-23       Impact factor: 3.240

View more
  2 in total

1.  Campylobacter infections expected to increase due to climate change in Northern Europe.

Authors:  Katrin Gaardbo Kuhn; Karin Maria Nygård; Bernardo Guzman-Herrador; Linda Selje Sunde; Ruska Rimhanen-Finne; Linda Trönnberg; Martin Rudbeck Jepsen; Reija Ruuhela; Wai Kwok Wong; Steen Ethelberg
Journal:  Sci Rep       Date:  2020-08-17       Impact factor: 4.379

2.  An analecta of visualizations for foodborne illness trends and seasonality.

Authors:  Ryan B Simpson; Bingjie Zhou; Tania M Alarcon Falconi; Elena N Naumova
Journal:  Sci Data       Date:  2020-10-13       Impact factor: 6.444

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.