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The epidemiology of human campylobacteriosis is complex but in recent years understanding of this disease has advanced considerably. Despite being a major public health concern in many countries, the presence of multiple hosts, genotypes and transmission pathways has made it difficult to identify and quantify the determinants of human infection and disease. This has delayed the development of successful intervention programmes for this disease in many countries including New Zealand, a country with a comparatively high, yet until recently poorly understood, rate of notified disease. This study investigated the epidemiology of Campylobacter jejuni at the genotype-level over a 3-year period between 2005 and 2008 using multilocus sequence typing. By combining epidemiological surveillance and population genetics, a dominant, internationally rare strain of C. jejuni (ST474) was identified, and most human cases (65.7%) were found to be caused by only seven different genotypes. Source association of genotypes was used to identify risk factors at the genotype-level through multivariable logistic regression and a spatial model. Poultry-associated cases were more likely to be found in urban areas compared to rural areas. In particular young children in rural areas had a higher risk of infection with ruminant strains than their urban counterparts. These findings provide important information for the implementation of pathway-specific control strategies.

Original publication

DOI

10.1017/s0950268809991579

Type

Journal article

Journal

Epidemiology and infection

Publication Date

10/2010

Volume

138

Pages

1372 - 1383

Addresses

Molecular Epidemiology and Veterinary Public Health Laboratory, Hopkirk Research Institute, Massey University, Palmerston North, New Zealand. petra@epi-interactive.com

Keywords

Animals, Poultry, Ruminants, Humans, Campylobacter jejuni, Campylobacter Infections, Bacterial Typing Techniques, Cluster Analysis, Risk Factors, DNA Fingerprinting, Sequence Analysis, DNA, Genotype, Adolescent, Adult, Aged, Middle Aged, Child, Child, Preschool, Rural Population, Urban Population, New Zealand, Female, Male, Young Adult, Molecular Epidemiology