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Vet. Sci. 2017, 4(3), 36;

Inquiring into the Gaps of Campylobacter Surveillance Methods

Department of Biopathology and Clinical Microbiology, Aeginition Hospital, Athens Medical School, Athens 15772, Greece
Department of Nursing, Faculty of Human Movement and Quality of Life Sciences, University of Peloponnese, Sparta 23100, Greece
Author to whom correspondence should be addressed.
Received: 30 April 2017 / Revised: 7 July 2017 / Accepted: 17 July 2017 / Published: 19 July 2017
(This article belongs to the Special Issue Food and Waterborne Infections in Animals and Humans)
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Campylobacter is one of the most common pathogen-related causes of diarrheal illnesses globally and has been recognized as a significant factor of human disease for more than three decades. Molecular typing techniques and their combinations have allowed for species identification among members of the Campylobacter genus with good resolution, but the same tools usually fail to proceed to subtyping of closely related species due to high sequence similarity. This problem is exacerbated by the demanding conditions for isolation and detection from the human, animal or water samples as well as due to the difficulties during laboratory maintenance and long-term storage of the isolates. In an effort to define the ideal typing tool, we underline the strengths and limitations of the typing methodologies currently used to map the broad epidemiologic profile of campylobacteriosis in public health and outbreak investigations. The application of both the old and the new molecular typing tools is discussed and an indirect comparison is presented among the preferred techniques used in current research methodology View Full-Text
Keywords: Campylobacteriosis; methodology; molecular typing; human infection; zoonosis; surveillance; epidemiology Campylobacteriosis; methodology; molecular typing; human infection; zoonosis; surveillance; epidemiology

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Magana, M.; Chatzipanagiotou, S.; Burriel, A.R.; Ioannidis, A. Inquiring into the Gaps of Campylobacter Surveillance Methods. Vet. Sci. 2017, 4, 36.

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