Literature DB >> 21872952

Utilizing a combination of molecular and spatial tools to assess the effect of a public health intervention.

P Muellner1, J C Marshall, S E F Spencer, A D Noble, T Shadbolt, J M Collins-Emerson, A C Midwinter, P E Carter, R Pirie, D J Wilson, D M Campbell, M A Stevenson, N P French.   

Abstract

Until recently New Zealand had one of the highest rates of human campylobacteriosis reported by industrialized countries. Since the introduction of a range of control measures in the poultry production chain a reduction in human cases of around 50% has been observed nationwide. To inform risk managers a combination of spatial, temporal and molecular tools - including minimum spanning trees, risk surfaces, rarefaction analysis and dynamic source attribution modelling - was used in this study to formally evaluate the reduction in disease risk that occurred after the implementation of control measures in the poultry industry. Utilizing data from a sentinel surveillance site in the Manawatu region of New Zealand, our analyses demonstrated a reduction in disease risk attributable to a reduction in the number of poultry-associated campylobacteriosis cases. Before the implementation of interventions poultry-associated cases were more prevalent in urban than rural areas, whereas for ruminant-associated cases the reverse was evident. In addition to the overall reduction in prevalence, this study also showed a stronger intervention effect in urban areas where poultry sources were more dominant. Overall a combination of molecular and spatial tools has provided evidence that the interventions aimed at reducing Campylobacter contamination of poultry were successful in reducing poultry-associated disease and this will inform the development of future control strategies.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21872952     DOI: 10.1016/j.prevetmed.2011.07.011

Source DB:  PubMed          Journal:  Prev Vet Med        ISSN: 0167-5877            Impact factor:   2.670


  9 in total

1.  Campylobacter jejuni Strains Associated with Wild Birds and Those Causing Human Disease in Six High-Use Recreational Waterways in New Zealand.

Authors:  Rima D Shrestha; Anne C Midwinter; Jonathan C Marshall; Julie M Collins-Emerson; Eve J Pleydell; Nigel P French
Journal:  Appl Environ Microbiol       Date:  2019-11-27       Impact factor: 4.792

2.  Shifts in the Molecular Epidemiology of Campylobacter jejuni Infections in a Sentinel Region of New Zealand following Implementation of Food Safety Interventions by the Poultry Industry.

Authors:  Antoine Nohra; Alex Grinberg; Jonathan C Marshall; Anne C Midwinter; Julie M Collins-Emerson; Nigel P French
Journal:  Appl Environ Microbiol       Date:  2020-02-18       Impact factor: 4.792

3.  Whole-genome comparison of two Campylobacter jejuni isolates of the same sequence type reveals multiple loci of different ancestral lineage.

Authors:  Patrick J Biggs; Paul Fearnhead; Grant Hotter; Vathsala Mohan; Julie Collins-Emerson; Errol Kwan; Thomas E Besser; Adrian Cookson; Philip E Carter; Nigel P French
Journal:  PLoS One       Date:  2011-11-11       Impact factor: 3.240

4.  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

5.  Serotypes and Antimicrobial Resistance in Salmonella enterica Recovered from Clinical Samples from Cattle and Swine in Minnesota, 2006 to 2015.

Authors:  Samuel Hong; Albert Rovira; Peter Davies; Christina Ahlstrom; Petra Muellner; Aaron Rendahl; Karen Olsen; Jeff B Bender; Scott Wells; Andres Perez; Julio Alvarez
Journal:  PLoS One       Date:  2016-12-09       Impact factor: 3.240

6.  Shiga Toxin-Producing Escherichia coli O157 Shedding Dynamics in an Australian Beef Herd.

Authors:  Christina Ahlstrom; Petra Muellner; Geraldine Lammers; Meghan Jones; Sophie Octavia; Ruiting Lan; Jane Heller
Journal:  Front Vet Sci       Date:  2017-11-27

7.  The EpiQuant Framework for Computing Epidemiological Concordance of Microbial Subtyping Data.

Authors:  Benjamin M Hetman; Steven K Mutschall; James E Thomas; Victor P J Gannon; Clifford G Clark; Frank Pollari; Eduardo N Taboada
Journal:  J Clin Microbiol       Date:  2017-02-15       Impact factor: 5.948

8.  Extending statistical models for source attribution of zoonotic diseases: a study of campylobacteriosis.

Authors:  Sih-Jing Liao; Jonathan Marshall; Martin L Hazelton; Nigel P French
Journal:  J R Soc Interface       Date:  2019-01-31       Impact factor: 4.118

9.  Timely Reporting and Interactive Visualization of Animal Health and Slaughterhouse Surveillance Data in Switzerland.

Authors:  Ulrich J Muellner; Flavie Vial; Franziska Wohlfender; Daniela Hadorn; Martin Reist; Petra Muellner
Journal:  Front Vet Sci       Date:  2015-10-29
  9 in total

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