US-wide equine strongylid egg count data demonstrate seasonal and regional trends

Martin K. Nielsen; Paul Slusarewicz; Tetiana A. Kuzmina; Matthew J. Denwood

doi:10.1017/S0031182024000489

US-wide equine strongylid egg count data demonstrate seasonal and regional trends

Martin K. Nielsen, Paul Slusarewicz, Tetiana A. Kuzmina, Matthew J. Denwood

Research output: Contribution to journal › Article › peer-review

Abstract

Equine strongylid parasites are ubiquitous around the world and are main targets of parasite control programmes. In recent years, automated fecal egg counting systems based on image analysis have become available allowing for collection and analysis of large-scale egg count data. This study aimed to evaluate equine strongylid fecal egg count (FEC) data generated with an automated system over three years in the US with specific attention to seasonal and regional trends in egg count magnitude and sampling activity. Five US regions were defined; North East, South East, North Central, South Central and West. The data set included state, region and zip code for each FEC.

Original language	English
Pages (from-to)	579-586
Number of pages	8
Journal	Parasitology
Volume	151
Issue number	6
DOIs	https://doi.org/10.1017/S0031182024000489
State	Published - May 1 2024

Bibliographical note

Publisher Copyright:
Copyright © The Author(s), 2024. Published by Cambridge University Press.

Keywords

horse
monitoring
nematode
parasite
sample

ASJC Scopus subject areas

Parasitology
Animal Science and Zoology
Infectious Diseases

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1017/S0031182024000489

Cite this

@article{f5e94f3b785b42c58506291aa54d07eb,

title = "US-wide equine strongylid egg count data demonstrate seasonal and regional trends",

abstract = "Equine strongylid parasites are ubiquitous around the world and are main targets of parasite control programmes. In recent years, automated fecal egg counting systems based on image analysis have become available allowing for collection and analysis of large-scale egg count data. This study aimed to evaluate equine strongylid fecal egg count (FEC) data generated with an automated system over three years in the US with specific attention to seasonal and regional trends in egg count magnitude and sampling activity. Five US regions were defined; North East, South East, North Central, South Central and West. The data set included state, region and zip code for each FEC.",

keywords = "horse, monitoring, nematode, parasite, sample",

author = "Nielsen, {Martin K.} and Paul Slusarewicz and Kuzmina, {Tetiana A.} and Denwood, {Matthew J.}",

note = "Publisher Copyright: Copyright {\textcopyright} The Author(s), 2024. Published by Cambridge University Press.",

year = "2024",

month = may,

day = "1",

doi = "10.1017/S0031182024000489",

language = "English",

volume = "151",

pages = "579--586",

number = "6",

}

TY - JOUR

T1 - US-wide equine strongylid egg count data demonstrate seasonal and regional trends

AU - Nielsen, Martin K.

AU - Slusarewicz, Paul

AU - Kuzmina, Tetiana A.

AU - Denwood, Matthew J.

PY - 2024/5/1

Y1 - 2024/5/1

N2 - Equine strongylid parasites are ubiquitous around the world and are main targets of parasite control programmes. In recent years, automated fecal egg counting systems based on image analysis have become available allowing for collection and analysis of large-scale egg count data. This study aimed to evaluate equine strongylid fecal egg count (FEC) data generated with an automated system over three years in the US with specific attention to seasonal and regional trends in egg count magnitude and sampling activity. Five US regions were defined; North East, South East, North Central, South Central and West. The data set included state, region and zip code for each FEC.

AB - Equine strongylid parasites are ubiquitous around the world and are main targets of parasite control programmes. In recent years, automated fecal egg counting systems based on image analysis have become available allowing for collection and analysis of large-scale egg count data. This study aimed to evaluate equine strongylid fecal egg count (FEC) data generated with an automated system over three years in the US with specific attention to seasonal and regional trends in egg count magnitude and sampling activity. Five US regions were defined; North East, South East, North Central, South Central and West. The data set included state, region and zip code for each FEC.

KW - horse

KW - monitoring

KW - nematode

KW - parasite

KW - sample

UR - http://www.scopus.com/inward/record.url?scp=85191956325&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85191956325&partnerID=8YFLogxK

U2 - 10.1017/S0031182024000489

DO - 10.1017/S0031182024000489

M3 - Article

C2 - 38629125

AN - SCOPUS:85191956325

SN - 0031-1820

VL - 151

SP - 579

EP - 586

JO - Parasitology

JF - Parasitology

IS - 6

ER -

US-wide equine strongylid egg count data demonstrate seasonal and regional trends

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this