Modelling bluetongue risk in Kazakhstan

Abdrakhmanov S.K. Beisembayev K.K. Sultanov A.A. Mukhanbetkaliyev Y.Y. Kadyrov A.S. Ussenbayev A.Y. Zhakenova A.Y. Torgerson P.R.
December 2021 BioMed Central Ltd

Parasites and Vectors
2021 #14 Issue 1

Background: Bluetongue is a serious disease of ruminants caused by the bluetongue virus (BTV). BTV is transmitted by biting midges (Culicoides spp.). Serological evidence from livestock and the presence of at least one competent vector species of Culicoides suggests that transmission of BTV is possible and may have occurred in Kazakhstan. Methods: We estimated the risk of transmission using a mathematical model of the reproduction number R₀ for bluetongue. This model depends on livestock density and climatic factors which affect vector density. Data on climate and livestock numbers from the 2466 local communities were used. This, together with previously published model parameters, was used to estimate R₀ for each month of the year. We plotted the results on isopleth maps of Kazakhstan using interpolation to smooth the irregular data. We also mapped the estimated proportion of the population requiring vaccination to prevent outbreaks of bluetongue. Results: The results suggest that transmission of bluetongue in Kazakhstan is not possible in the winter from October to March. Assuming there are vector-competent species of Culicoides endemic in Kazakhstan, then low levels of risk first appear in the south of Kazakhstan in April before spreading north and intensifying, reaching maximum levels in northern Kazakhstan in July. The risk declined in September and had disappeared by October. Conclusion: These results should aid in surveillance efforts for the detection and control of bluetongue in Kazakhstan by indicating where and when outbreaks of bluetongue are most likely to occur. The results also indicate where vaccination efforts should be focussed to prevent outbreaks of disease. Graphical abstract: [Figure not available: see fulltext.].

Basic reproduction number , Bluetongue , Cattle , Culicoides , Epidemiology , Geographical information systems , Livestock , Mathematical modelling , Risk , Sheep , Transmission Kazakhstan

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Saken Seifullin Kazakh Agrotechnical University, Nur-Sultan (Astana), Kazakhstan
Kazakh Scientific Research Veterinary Institute, Almaty, Kazakhstan
Section of Epidemiology, Vetsuisse Faculty, University of Zürich, Zürich, Switzerland

Saken Seifullin Kazakh Agrotechnical University
Kazakh Scientific Research Veterinary Institute
Section of Epidemiology

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