Literature DB >> 22050713

The spatial and temporal determinants of campylobacteriosis notifications in New Zealand, 2001-2007.

S E F Spencer1, J Marshall, R Pirie, D Campbell, M G Baker, N P French.   

Abstract

Despite recent improvements, New Zealand still has one of the highest per-capita incidence rates of campylobacteriosis in the world. To reduce the incidence, a thorough understanding of the epidemiology of infection is needed. This retrospective analysis of 36 000 notified human cases during a high-risk period between 2001 and 2007 explored the spatial and temporal determinants of Campylobacter notifications at a fine spatial scale in order to improve understanding of the complex epidemiology. Social deprivation was associated with a decreased risk of notification, whereas urban residence was associated with an increased risk. However, for young children rural residence was a risk factor. High dairy cattle density was associated with an increased risk of notification in two of the three regions investigated. Campylobacter notification patterns exhibit large temporal variations; however, few factors were associated with periods of increased risk, in particular temperature did not appear to drive the seasonality in campylobacteriosis.

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Year:  2011        PMID: 22050713     DOI: 10.1017/S0950268811002159

Source DB:  PubMed          Journal:  Epidemiol Infect        ISSN: 0950-2688            Impact factor:   2.451


  16 in total

1.  Impact of rurality, broiler operations, and community socioeconomic factors on the risk of campylobacteriosis in Maryland.

Authors:  Barbara Zappe Pasturel; Raul Cruz-Cano; Rachel E Rosenberg Goldstein; Amanda Palmer; David Blythe; Patricia Ryan; Brenna Hogan; Carrianne Jung; Sam W Joseph; Min Qi Wang; Mei-Ling Ting Lee; Robin Puett; Amy R Sapkota
Journal:  Am J Public Health       Date:  2013-10-17       Impact factor: 9.308

Review 2.  The impact of socioeconomic status on foodborne illness in high-income countries: a systematic review.

Authors:  K L Newman; J S Leon; P A Rebolledo; E Scallan
Journal:  Epidemiol Infect       Date:  2015-01-20       Impact factor: 2.451

3.  The campylobacteriosis conundrum - examining the incidence of infection with Campylobacter sp. in Australia, 1998-2013.

Authors:  C R M Moffatt; K Glass; R Stafford; C D'Este; M D Kirk
Journal:  Epidemiol Infect       Date:  2016-12-12       Impact factor: 4.434

4.  Factors associated with increasing campylobacteriosis incidence in Michigan, 2004-2013.

Authors:  W Cha; T Henderson; J Collins; S D Manning
Journal:  Epidemiol Infect       Date:  2016-08-04       Impact factor: 4.434

5.  The association between campylobacteriosis, agriculture and drinking water: a case-case study in a region of British Columbia, Canada, 2005-2009.

Authors:  E Galanis; S Mak; M Otterstatter; M Taylor; M Zubel; T K Takaro; M Kuo; P Michel
Journal:  Epidemiol Infect       Date:  2014-06-03       Impact factor: 4.434

6.  Evaluation of the representativeness of a sentinel surveillance site for campylobacteriosis.

Authors:  C F Bolwell; B J Gilpin; D Campbell; N P French
Journal:  Epidemiol Infect       Date:  2014-11-27       Impact factor: 4.434

7.  Using geovisual analytics in Google Earth to understand disease distribution: a case study of campylobacteriosis in the Czech Republic (2008-2012).

Authors:  Lukáš Marek; Pavel Tuček; Vít Pászto
Journal:  Int J Health Geogr       Date:  2015-01-28       Impact factor: 3.918

8.  Association between the ambient temperature and the occurrence of human Salmonella and Campylobacter infections.

Authors:  Josef Yun; Matthias Greiner; Christiane Höller; Ute Messelhäusser; Albert Rampp; Günter Klein
Journal:  Sci Rep       Date:  2016-06-21       Impact factor: 4.379

9.  Elucidating the aetiology of human Campylobacter coli infections.

Authors:  Francois Roux; Emma Sproston; Ovidiu Rotariu; Marion Macrae; Samuel K Sheppard; Paul Bessell; Alison Smith-Palmer; John Cowden; Martin C J Maiden; Ken J Forbes; Norval J C Strachan
Journal:  PLoS One       Date:  2013-05-29       Impact factor: 3.240

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

Authors:  J M David; F Pollari; K D M Pintar; A Nesbitt; A J Butler; A Ravel
Journal:  Epidemiol Infect       Date:  2017-10-12       Impact factor: 4.434

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