MersV1, PubMed, Checkpoint, bibRecord, 000553

Force of infection of Middle East respiratory syndrome in dromedary camels in Kenya.

Identifieur interne : 000553 ( PubMed/Checkpoint ); précédent : 000552; suivant : 000554

Force of infection of Middle East respiratory syndrome in dromedary camels in Kenya.

Auteurs : E G Gardner [Canada] ; S. Kiambi [Kenya] ; R. Sitawa [Kenya] ; D. Kelton [Canada] ; J. Kimutai [Kenya] ; Z. Poljak [Canada] ; Z. Tadesse [Kenya] ; S. Von Dobschuetz [Italie] ; L. Wiersma [Italie] ; A L Greer [Canada]

Source :

Epidemiology and infection [ 1469-4409 ] ; 2019.

RBID : pubmed:31547888

Descripteurs français

KwdFr :
- Animaux, Chameaux, Coronavirus du syndrome respiratoire du Moyen-Orient (isolement et purification), Infections asymptomatiques (épidémiologie), Infections à coronavirus (médecine vétérinaire), Infections à coronavirus (épidémiologie), Kenya (épidémiologie), Prévalence, Études transversales.
MESH :
- isolement et purification : Coronavirus du syndrome respiratoire du Moyen-Orient.
- médecine vétérinaire : Infections à coronavirus.
- épidémiologie : Infections asymptomatiques, Infections à coronavirus, Kenya.
- Animaux, Chameaux, Prévalence, Études transversales.
Wicri :
- geographic : Kenya.

English descriptors

KwdEn :
- Animals, Asymptomatic Infections (epidemiology), Camelus, Coronavirus Infections (epidemiology), Coronavirus Infections (veterinary), Cross-Sectional Studies, Kenya (epidemiology), Middle East Respiratory Syndrome Coronavirus (isolation & purification), Prevalence.
MESH :
- geographic , epidemiology : Kenya.
- epidemiology : Asymptomatic Infections, Coronavirus Infections.
- isolation & purification : Middle East Respiratory Syndrome Coronavirus.
- veterinary : Coronavirus Infections.
- Animals, Camelus, Cross-Sectional Studies, Prevalence.

Abstract

Middle East respiratory syndrome coronavirus (MERS-CoV) is a zoonotic disease transmitted from dromedary camels to people, which can result in outbreaks with human-to-human transmission. Because it is a subclinical infection in camels, epidemiological measures other than prevalence are challenging to assess. This study estimated the force of infection (FOI) of MERS-CoV in camel populations from age-stratified serological data. A cross-sectional study of MERS-CoV was conducted in Kenya from July 2016 to July 2017. Seroprevalence was stratified into four age groups: <1, 1-2, 2-3 and >3 years old. Age-independent and age-dependent linear and quadratic generalised linear models were used to estimate FOI in pastoral and ranching camel herds. Models were compared based on computed AIC values. Among pastoral herds, the age-dependent quadratic FOI was the best fit model, while the age-independent FOI was the best fit for the ranching herd data. FOI provides an indirect estimate of infection risk, which is especially valuable where direct estimates of incidence and other measures of infection are challenging to obtain. The FOIs estimated in this study provide important insight about MERS-CoV dynamics in the reservoir species, and contribute to our understanding of the zoonotic risks of this important public health threat.

DOI: 10.1017/S0950268819001663
PubMed: 31547888

Affiliations:

Canada, Italie, Kenya

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Le document en format XML

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<front><div type="abstract" xml:lang="en">Middle East respiratory syndrome coronavirus (MERS-CoV) is a zoonotic disease transmitted from dromedary camels to people, which can result in outbreaks with human-to-human transmission. Because it is a subclinical infection in camels, epidemiological measures other than prevalence are challenging to assess. This study estimated the force of infection (FOI) of MERS-CoV in camel populations from age-stratified serological data. A cross-sectional study of MERS-CoV was conducted in Kenya from July 2016 to July 2017. Seroprevalence was stratified into four age groups: <1, 1-2, 2-3 and >3 years old. Age-independent and age-dependent linear and quadratic generalised linear models were used to estimate FOI in pastoral and ranching camel herds. Models were compared based on computed AIC values. Among pastoral herds, the age-dependent quadratic FOI was the best fit model, while the age-independent FOI was the best fit for the ranching herd data. FOI provides an indirect estimate of infection risk, which is especially valuable where direct estimates of incidence and other measures of infection are challenging to obtain. The FOIs estimated in this study provide important insight about MERS-CoV dynamics in the reservoir species, and contribute to our understanding of the zoonotic risks of this important public health threat.</div>
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<Abstract><AbstractText>Middle East respiratory syndrome coronavirus (MERS-CoV) is a zoonotic disease transmitted from dromedary camels to people, which can result in outbreaks with human-to-human transmission. Because it is a subclinical infection in camels, epidemiological measures other than prevalence are challenging to assess. This study estimated the force of infection (FOI) of MERS-CoV in camel populations from age-stratified serological data. A cross-sectional study of MERS-CoV was conducted in Kenya from July 2016 to July 2017. Seroprevalence was stratified into four age groups: <1, 1-2, 2-3 and >3 years old. Age-independent and age-dependent linear and quadratic generalised linear models were used to estimate FOI in pastoral and ranching camel herds. Models were compared based on computed AIC values. Among pastoral herds, the age-dependent quadratic FOI was the best fit model, while the age-independent FOI was the best fit for the ranching herd data. FOI provides an indirect estimate of infection risk, which is especially valuable where direct estimates of incidence and other measures of infection are challenging to obtain. The FOIs estimated in this study provide important insight about MERS-CoV dynamics in the reservoir species, and contribute to our understanding of the zoonotic risks of this important public health threat.</AbstractText>
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<ReferenceList><Reference><Citation>Vaccine. 2016 Dec 7;34(50):6187-6192</Citation>
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</Reference>
</ReferenceList>
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<ReferenceList><Reference><Citation>PLoS One. 2015 Oct 16;10(10):e0140125</Citation>
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</ArticleIdList>
</Reference>
</ReferenceList>
<ReferenceList><Reference><Citation>Euro Surveill. 2014 Apr 24;19(16):20781</Citation>
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<ReferenceList><Reference><Citation>Emerg Infect Dis. 2015 Jun;21(6):1019-22</Citation>
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</ArticleIdList>
</Reference>
</ReferenceList>
<ReferenceList><Reference><Citation>Front Public Health. 2016 Sep 28;4:213</Citation>
<ArticleIdList><ArticleId IdType="pubmed">27734014</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
<ReferenceList><Reference><Citation>Vector Borne Zoonotic Dis. 2017 Feb;17(2):155-159</Citation>
<ArticleIdList><ArticleId IdType="pubmed">28009529</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
<ReferenceList><Reference><Citation>Ecohealth. 2018 Jun;15(2):372-387</Citation>
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</ArticleIdList>
</Reference>
</ReferenceList>
<ReferenceList><Reference><Citation>Virus Genes. 2015 Jun;50(3):509-13</Citation>
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</ArticleIdList>
</Reference>
</ReferenceList>
<ReferenceList><Reference><Citation>BMJ Glob Health. 2017 Sep 7;2(3):e000345</Citation>
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</Reference>
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<ReferenceList><Reference><Citation>Trop Anim Health Prod. 1983 Aug;15(3):169-78</Citation>
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</ArticleIdList>
</Reference>
</ReferenceList>
<ReferenceList><Reference><Citation>Emerg Infect Dis. 2014 Dec;20(12):1999-2005</Citation>
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</ArticleIdList>
</Reference>
</ReferenceList>
<ReferenceList><Reference><Citation>Euro Surveill. 2017 Mar 30;22(13):</Citation>
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</ReferenceList>
<ReferenceList><Reference><Citation>Transbound Emerg Dis. 2017 Dec;64(6):2093-2103</Citation>
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</ArticleIdList>
</Reference>
</ReferenceList>
<ReferenceList><Reference><Citation>Emerg Microbes Infect. 2017 Jan 4;6(1):e1</Citation>
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<ReferenceList><Reference><Citation>Emerg Infect Dis. 2016 Dec;22(12):2171-2173</Citation>
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</ArticleIdList>
</Reference>
</ReferenceList>
<ReferenceList><Reference><Citation>Bull World Health Organ. 2008 Mar;86(3):187-96</Citation>
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</ArticleIdList>
</Reference>
</ReferenceList>
<ReferenceList><Reference><Citation>Antiviral Res. 2018 Nov;159:35-44</Citation>
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Force of infection of Middle East respiratory syndrome in dromedary camels in Kenya.

Force of infection of Middle East respiratory syndrome in dromedary camels in Kenya.

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