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Estimation Models for the Morbidity of the Horses Infected with Equine Influenza Virus

Estimation formulas for the morbidity of horses infected with equine influenza virus by linear regression, logistic regression and probit transformation were developed, using data from the outbreak at the Sha Tin Racing Track in Hong Kong in 1992. Using these formulas, we estimated the equine influe...

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Autores principales: SUGITA, Shigeo, OKI, Hironori, HASEGAWA, Telhisa, ISHIDA, Nobushige
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Japanese Society of Equine Science 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4013945/
https://www.ncbi.nlm.nih.gov/pubmed/24833957
http://dx.doi.org/10.1294/jes.19.63
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author SUGITA, Shigeo
OKI, Hironori
HASEGAWA, Telhisa
ISHIDA, Nobushige
author_facet SUGITA, Shigeo
OKI, Hironori
HASEGAWA, Telhisa
ISHIDA, Nobushige
author_sort SUGITA, Shigeo
collection PubMed
description Estimation formulas for the morbidity of horses infected with equine influenza virus by linear regression, logistic regression and probit transformation were developed, using data from the outbreak at the Sha Tin Racing Track in Hong Kong in 1992. Using these formulas, we estimated the equine influenza virus morbidity rates at training centers belonging to the Japan Racing Association (JRA) in October 1997 and in October 1998. In 1998 JRA started a new vaccination program, and every horse must now be vaccinated twice per year. At that time, the vaccine included two US lineage virus strains, the A/equine/Kentucky/81 strain and the A/equine/La Plata/93 (LP93) strain, against equine type-2 influenza viruses; it did not include any EU lineage virus strains, such as A/equine/Suffolk/89 (SF89). Comparing the geometric mean (GM) values of hemagglutination inhibition (HI) titers between the LP93 strain and the SF89 strain in 1997 and in 1998, they both rose significantly at every age (p<0.05) by Wilcoxon test. Calculations by the simulation models show the morbidity rates for LP93 diminished from 0.439 (linear), 0.423 (logistic) and 0.431 (probit) to 0.276 (linear), 0.265 (logistic) and 0.271 (probit), respectively. On the other hand, the estimated morbidity rates for SF89 diminished only slightly from 0.954 (linear), 0.932 (logistic) and 0.944 (probit) to 0.946 (linear), 0.914 (logistic) and 0.927 (probit), respectively. Our simulation models could estimate the effect of the vaccine on each of the equine virus strains represented by the morbidity of infected horses. Thus, they are useful for vaccine evaluation.
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spelling pubmed-40139452014-05-15 Estimation Models for the Morbidity of the Horses Infected with Equine Influenza Virus SUGITA, Shigeo OKI, Hironori HASEGAWA, Telhisa ISHIDA, Nobushige J Equine Sci Note Estimation formulas for the morbidity of horses infected with equine influenza virus by linear regression, logistic regression and probit transformation were developed, using data from the outbreak at the Sha Tin Racing Track in Hong Kong in 1992. Using these formulas, we estimated the equine influenza virus morbidity rates at training centers belonging to the Japan Racing Association (JRA) in October 1997 and in October 1998. In 1998 JRA started a new vaccination program, and every horse must now be vaccinated twice per year. At that time, the vaccine included two US lineage virus strains, the A/equine/Kentucky/81 strain and the A/equine/La Plata/93 (LP93) strain, against equine type-2 influenza viruses; it did not include any EU lineage virus strains, such as A/equine/Suffolk/89 (SF89). Comparing the geometric mean (GM) values of hemagglutination inhibition (HI) titers between the LP93 strain and the SF89 strain in 1997 and in 1998, they both rose significantly at every age (p<0.05) by Wilcoxon test. Calculations by the simulation models show the morbidity rates for LP93 diminished from 0.439 (linear), 0.423 (logistic) and 0.431 (probit) to 0.276 (linear), 0.265 (logistic) and 0.271 (probit), respectively. On the other hand, the estimated morbidity rates for SF89 diminished only slightly from 0.954 (linear), 0.932 (logistic) and 0.944 (probit) to 0.946 (linear), 0.914 (logistic) and 0.927 (probit), respectively. Our simulation models could estimate the effect of the vaccine on each of the equine virus strains represented by the morbidity of infected horses. Thus, they are useful for vaccine evaluation. The Japanese Society of Equine Science 2008-10-24 2008 /pmc/articles/PMC4013945/ /pubmed/24833957 http://dx.doi.org/10.1294/jes.19.63 Text en 2008 The Japanese Society of Equine Science http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives (by-nc-nd) License.
spellingShingle Note
SUGITA, Shigeo
OKI, Hironori
HASEGAWA, Telhisa
ISHIDA, Nobushige
Estimation Models for the Morbidity of the Horses Infected with Equine Influenza Virus
title Estimation Models for the Morbidity of the Horses Infected with Equine Influenza Virus
title_full Estimation Models for the Morbidity of the Horses Infected with Equine Influenza Virus
title_fullStr Estimation Models for the Morbidity of the Horses Infected with Equine Influenza Virus
title_full_unstemmed Estimation Models for the Morbidity of the Horses Infected with Equine Influenza Virus
title_short Estimation Models for the Morbidity of the Horses Infected with Equine Influenza Virus
title_sort estimation models for the morbidity of the horses infected with equine influenza virus
topic Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4013945/
https://www.ncbi.nlm.nih.gov/pubmed/24833957
http://dx.doi.org/10.1294/jes.19.63
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