Genotyping Cyclospora cayetanensis from multiple outbreak clusters with an emphasis on a cluster linked to bagged salad mix - United States, 2020.

Barratt, J; Ahart, L; Rice, M; Houghton, K; Richins, T; Cama, V; Arrowood, M; Qvarnstrom, Y; Straily, A

Genotyping Cyclospora cayetanensis from multiple outbreak clusters with an emphasis on a cluster linked to bagged salad mix - United States, 2020.

Barratt, J

Ahart, L Rice, M Houghton, K Richins, T Cama, V Arrowood, M Qvarnstrom, Y Straily, A

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Publisher:: Oxford University Press
Publication Type:: Journal Article
Citation:: Journal of Infectious Diseases, 2022, 225, (12), pp. 2176-2180
Issue Date:: 2022-01-01

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Field	Value	Language
dc.contributor.author	Barratt, J https://orcid.org/0000-0001-8711-2408
dc.contributor.author	Ahart, L
dc.contributor.author	Rice, M
dc.contributor.author	Houghton, K
dc.contributor.author	Richins, T
dc.contributor.author	Cama, V
dc.contributor.author	Arrowood, M
dc.contributor.author	Qvarnstrom, Y
dc.contributor.author	Straily, A
dc.date.accessioned	2022-12-06T02:38:18Z
dc.date.available	2021-09-24
dc.date.available	2022-12-06T02:38:18Z
dc.date.issued	2022-01-01
dc.identifier.citation	Journal of Infectious Diseases, 2022, 225, (12), pp. 2176-2180
dc.identifier.issn	0022-1899
dc.identifier.issn	1537-6613
dc.identifier.uri	http://hdl.handle.net/10453/164147
dc.description.abstract	Cyclosporiasis is a diarrheal illness caused by the food-borne parasite Cyclospora cayetanensis. Annually reported cases have been increasing in the United States prompting development of genotyping tools to aid cluster detection. A recently developed Cyclospora genotyping system based on eight genetic markers was applied to clinical samples collected during the cyclosporiasis peak-period of 2020, facilitating assessment of its epidemiologic utility. While the system performed well and helped inform epidemiological investigations, inclusion of additional markers to improve cluster detection was supported. Consequently, investigations have commenced to identify additional markers to enhance performance.
dc.format	Print
dc.language	eng
dc.publisher	Oxford University Press
dc.relation.ispartof	Journal of Infectious Diseases
dc.relation.isbasedon	10.1093/infdis/jiab495
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	06 Biological Sciences, 11 Medical and Health Sciences
dc.subject.classification	Microbiology
dc.subject.mesh	Cyclospora
dc.subject.mesh	Cyclosporiasis
dc.subject.mesh	Disease Outbreaks
dc.subject.mesh	Genotype
dc.subject.mesh	Humans
dc.subject.mesh	Salads
dc.subject.mesh	United States
dc.subject.mesh	Humans
dc.subject.mesh	Cyclospora
dc.subject.mesh	Cyclosporiasis
dc.subject.mesh	Disease Outbreaks
dc.subject.mesh	Genotype
dc.subject.mesh	United States
dc.subject.mesh	Salads
dc.title	Genotyping Cyclospora cayetanensis from multiple outbreak clusters with an emphasis on a cluster linked to bagged salad mix - United States, 2020.
dc.type	Journal Article
utslib.citation.volume	225
utslib.location.activity	United States
utslib.for	06 Biological Sciences
utslib.for	11 Medical and Health Sciences
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Life Sciences
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
dc.date.updated	2022-12-06T02:38:13Z
pubs.issue	12
pubs.publication-status	Published
pubs.volume	225
utslib.citation.issue	12

Abstract:

Cyclosporiasis is a diarrheal illness caused by the food-borne parasite Cyclospora cayetanensis. Annually reported cases have been increasing in the United States prompting development of genotyping tools to aid cluster detection. A recently developed Cyclospora genotyping system based on eight genetic markers was applied to clinical samples collected during the cyclosporiasis peak-period of 2020, facilitating assessment of its epidemiologic utility. While the system performed well and helped inform epidemiological investigations, inclusion of additional markers to improve cluster detection was supported. Consequently, investigations have commenced to identify additional markers to enhance performance.

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http://hdl.handle.net/10453/164147