First report on seroprevalence of bluetongue, border disease and peste des petits ruminants virus infections in sheep in Kyrgyzstan

Yapici, Orhan; Bulut, Oya; Avcı, Oğuzhan; Kale, Mehmet; Tursumbetov, M.; Yavru, Sibel; Simsek, Abdurrahman; Abdýkerimov, K.

doi:10.5958/0976-0555.2014.00013.2

Cited by 7 publications

(7 citation statements)

References 7 publications

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“…In particular, Turkistan and Zhambyl oblasts are historically leading areas in terms of small ruminant breeding. In these areas, there is also a high probability that the disease is being imported from the border regions of Turkmenistan, Kyrgyzstan, Uzbekistan, and China, which feature a high density of small ruminants and have demonstrated sporadic outbreaks in the past (Fine et al., 2020; Yapici et al., 2014).…”

Section: Resultsmentioning

confidence: 99%

“…Thus, in Armenia, Azerbaijan, and Turkmenistan, outbreaks of PPR have not been previously registered, although monitoring studies and preventive vaccinations of 33-70% of animals susceptible to PPR in risk zones are being carried out (Amirbekov et al, 2020;Koshemetov et al, 2014). In Uzbekistan and Kyrgyzstan, isolated outbreaks of this disease have been previously recorded, and active monitoring and preventive vaccination are currently being carried out (Fine et al, 2020;Yapici et al, 2014). This disease leads to large economic losses annually.…”

Section: )mentioning

confidence: 99%

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Mapping the risks of the spread of peste des petits ruminants in the Republic of Kazakhstan

Abdrakhmanov

Mukhanbetkaliyev

Sultanov

et al. 2021

Transbounding Emerging Dis

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Peste des petits ruminants (PPR) is a viral transboundary disease seen in small ruminants, that causes significant damage to agriculture. This disease has not been previously registered in the Republic of Kazakhstan (RK). This paper presents an assessment of the susceptibility of the RK's territory to the spread of the disease in the event of its importation from infected countries. The negative binomial regression model that was trained on the PPR outbreaks in China, was used to rank municipal districts in the RK in terms of PPR spread risk. The outbreak count per administrative district was used as a risk indicator, while a number of socio-economic, landscape, and climatic factors were considered as explanatory variables. Summary road length, altitude, the density of small ruminants, the maximum green vegetation fraction, cattle density, and the Engel coefficient were the most significant factors. The model demonstrated a good performance in training data (R 2 = 0.69), and was transferred to the RK, suggesting a significantly lower susceptibility of this country to the spread of PPR. Hot spot analysis identified three clusters of districts at the highest risk, located in the western, eastern, and southern parts of Kazakhstan. As part of the study, a countrywide survey was conducted to collect data on the distribution of livestock populations, which resulted in the compilation of a complete geo-database of small ruminant holdings in the RK.The research results may be used to formulate a national strategy for preventing the importation and spread of PPR in Kazakhstan through targeted monitoring in high-risk areas.

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Section: Resultsmentioning

confidence: 99%

Section: )mentioning

confidence: 99%

Mapping the risks of the spread of peste des petits ruminants in the Republic of Kazakhstan

Abdrakhmanov

Mukhanbetkaliyev

Sultanov

et al. 2021

Transbounding Emerging Dis

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“…The detected prevalence in this study is higher than that presented in may reports, it was only 0.3% and 0.5% in Australia and Denmark, 15,16 5.6% in Ireland 17 and USA 18 and 7.3% in Turkey. 19 However far higher prevalence of pestivirus in sheep were reported, 45% in Turkey, 20 68% in Algeria 1 as well as in Turkey, 21 75% in Turkey. 22 This discrepancy is most probably due to the management system, where in USA and Europe strict sanitary and hygienic measures are adopted.…”

Section: Discussionmentioning

confidence: 96%

Border disease of sheep and goats in Saudi Arabia

Saeed¹

2020

IJMR

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Border diseases is one of viral diseases that affect sheep and goats causing economic losses worldwide. The present study was intended to explore the existence of border disease infection in sheep and goats in two regions at the north of Saudi Arabia. Collected serum samples were 624 from 155 sheep and 217 goats in Hail and 144 sheep and 108 goats in Rafha regions at the north of Saudi Arabia. Antibodies against pestivirus were examined in collected sera using competitive ELISA. Overall found pestivirus antibodies were 18.4%. Sheep showed the highest sero-prevalence (20.7%). Within localities highest seroprevalence was seen in Rafha region. Obtained results points to the circulation of border disease infection in sheep and goats in the northern part of Saudi Arabia.

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“…Thus, in Armenia, Azerbaijan and Turkmenistan, outbreaks of PPR have not been previously registered, however monitoring studies and preventive vaccination of 33-70% of animals susceptible to PPR in risk zones are being carried out (Koshemetov et al, 2014;Amirbekov et al, 2020). In Uzbekistan and Kyrgyzstan, isolated outbreaks of the disease were previously recorded, and active monitoring and preventive vaccination are currently being carried out (Yapici et al, 2014;Fine et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Mapping the risks of Peste des Petits Ruminants spread in the Republic of Kazakhstan

Abdrakhmanov¹,

Mukhanbetkaliev²,

Sultanov³

et al. 2020

Preprint

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Peste des petits ruminants (PPR) is a viral transboundary disease of small ruminants that causes significant damage to agriculture. The disease has not been previously registered in the Republic of Kazakhstan (RK). This paper presents an assessment of the susceptibility of the RK territory to the spread of this disease in case of its importation from infected countries. Ordinary Least Squares (OLS) and Geographically Weighted Regression (GWR) models trained on the PPR outbreaks in China were used to rank municipal districts of the RK in terms of the risk of PPR spread. Spatial density of outbreaks was used as a risk indicator while a number of socio-economic, landscape and climatic indicators were considered as explanatory variables. The Exploratory Regression tool was used to reveal a best combination of independent variables based on specified thresholds of R-squared, variables' multicollinearity and residuals' normality and autocorrelation. The small ruminants' density, the maximum green vegetation fraction, the annual mean temperature, the road length and density as well as the cattle density were the most significant factors. Both OLS and GWR demonstrated nearly similar model performance providing a global adjusted R-squared of 0.61. Applied to the RK, the models show the greatest risk of PPR spread in the south-eastern and northern regions of the country, especially within Almaty, Zhambyl, Turkistan, West Kazakhstan and East Kazakhstan regions. As part of the study, a country-wise survey was carried out to collect data on the distribution of livestock population the RK, which resulted in compiling a complete geo-database of small ruminants' holdings in the country. The research results can be used to form a national strategy for the prevention of the importation and spread of PPR in Kazakhstan through targeted monitoring in high-risk areas.

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First report on seroprevalence of bluetongue, border disease and peste des petits ruminants virus infections in sheep in Kyrgyzstan

Cited by 7 publications

References 7 publications

Mapping the risks of the spread of peste des petits ruminants in the Republic of Kazakhstan

Mapping the risks of the spread of peste des petits ruminants in the Republic of Kazakhstan

Border disease of sheep and goats in Saudi Arabia

Mapping the risks of Peste des Petits Ruminants spread in the Republic of Kazakhstan

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