Abstract
Borrelia burgdorferi sensu lato (s.l.) is the most common pathogen of medical significance transmitted by ticks of the family Ixodidae in Belarus. Human infection with B. burgdorferi causes Lyme borreliosis, most commonly referred to as Lyme disease. Currently, 20 species of Lyme disease-associated Borrelia and more than 20 relapsing fever-associated Borrelia species have been identified. These etiologic agents belong to the genus Borrelia in the family Spirochaetaceae. Genetically characterized isolates with specific sequences have proven that these pathogens are endemically transmitted in many European and Asian countries. In addition, joinpoint regression analysis is often applied to characterize infection trends over time and to identify the time point(s) at which the trend significantly changes. In this epidemiological investigation, joinpoint analysis was applied to investigate the temporal trend of B. burgdorferi s.l. infections in 4070 ticks collected between April and October 2012-2019. Detection of Borrelia species in ticks is an important tool to determine temporal and geographic distribution and abundance, and to predict the risk of Lyme disease to people in different regions. Our data provide a basis for further studies to determine the distribution and abundance of B. burgdorferi s.l. species in Belarus.
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