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The changing epidemiology of lumpy skin disease in Russia since the first introduction from 2015 to 2020статья
Статья опубликована в высокорейтинговом журнале
Статья опубликована в журнале из списка Web of Science и/или Scopus- Авторы: Byadovskaya Olga, Prutnikov Pavel, Shalina Kseniya, Babiuk Shawn, Perevozchikova Nataliya, Korennoy Fedor, Chvala Ilya, Kononov Aleksandr, Sprygin Alexander
- Журнал: Transboundary and Emerging Diseases
- Год издания: 2022
- Издательство: Blackwell-Wiss.-Verl
- Местоположение издательства: Germany
- DOI: 10.1111/tbed.14599
- Аннотация: Lumpy skin disease (LSD) is an economically important transboundary disease affecting cattle, causing large economic losses such as decreased production and trade restrictions. LSD has been a historically neglected disease since it previously caused disease limited to the African continent. Currently, the epidemiology of lumpy skin disease virus is based on how the disease is transmitted in tropical and subtropical climates. The understanding of its epidemiology in hemiboreal climates is not well understood and needs urgent attention to expand the current knowledge. In this paper, the epidemiological findings on LSD in Russia over a 6-year period are summarized and discussed. A total of 471 outbreaks were identified spanning over a 9000 km range. The outbreaks of lumpy skin disease occur primarily in small holder farms (backyard) compared to commercial farms between mid-May through mid-November including weather conditions with snow and freezing temperatures that preclude vector activity. Mortality and morbidity varied across the six years ranged from 1.19 to 61.8% and 0 to 50% respectively with a tendency to decline from 2015 to 2020. The geographic pattern of spread was assessed by means of directionality, indicated a northward movement from 2015 to 2016, with a consequent East turn in 2017 through Siberia to the Far East by 2020. All cases occurred along the border with Kazakhstan. Mathematical modelling showed that the disease tended to form statistically verified annual spatio-temporal clusters in 2016 – 2018, whereas in 2019 and 2020 such segregation was not evident. The trend of spread was mainly either from south to north or from south to a north-east direction.
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