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Background <p><i>Borrelia burgdorferi</i> sensu lato (s. l.) and <i>Neoehrlichia mikurensis</i> are the most prevalent pathogenic bacteria found in <i>Ixodes ricinus</i> in Norway. Here we evaluate the prevalence of both bacteria and the density of infected ticks, key factors to assess the human infection risk. The study was performed in one location in southern Norway.</p> Results <p>An overall prevalence of 12% for <i>B. burgdorferi</i> s. l. and 8% for <i>N. mikurensis</i> was found. The most prevalent <i>B. burgdorferi</i> s. l. genospecies was <i>Borrelia afzelii</i>, followed by <i>Borrelia burgdorferi</i> sensu stricto and <i>Borrelia garinii.</i> The highest density of infected nymphs with <i>B. burgdorferi</i> s. l. was in May and the lowest was in November. In the case of <i>N. mikurensis</i>, the highest density of infected nymphs was found in September and the lowest in November. <i>B. burgdorferi</i> s. l. prevalence was negatively correlated with tick density.</p> Conclusions <p>Our results highlight the importance of assessing not only pathogen prevalences but also tick population densities. Extended periods of surveillance in questing ticks are necessary to understand the intricate dynamics of ticks and tick-borne pathogens.</p>

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Seasonal variation in prevalence of Borrelia burgdorferi sensu lato and Neoehrlichia mikurensis in Ixodes ricinus nymphs in southern Norway

  • 期刊论文

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  • 发表日期：

    2026年4月15日

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  • Andrea Cotes-Perdomo,
  • Arnulf Soleng,
  • Kenedith Méndez-Gutierrez,
  • Kristian Alfsnes,
  • Hans Renssen,
  • Vivian Kjelland,
  • Rose Vikse,
  • Åshild Andreassen,
  • Andrew Jenkins

摘要

Background

Borrelia burgdorferi sensu lato (s. l.) and Neoehrlichia mikurensis are the most prevalent pathogenic bacteria found in Ixodes ricinus in Norway. Here we evaluate the prevalence of both bacteria and the density of infected ticks, key factors to assess the human infection risk. The study was performed in one location in southern Norway.

Results

An overall prevalence of 12% for B. burgdorferi s. l. and 8% for N. mikurensis was found. The most prevalent B. burgdorferi s. l. genospecies was Borrelia afzelii, followed by Borrelia burgdorferi sensu stricto and Borrelia garinii. The highest density of infected nymphs with B. burgdorferi s. l. was in May and the lowest was in November. In the case of N. mikurensis, the highest density of infected nymphs was found in September and the lowest in November. B. burgdorferi s. l. prevalence was negatively correlated with tick density.

Conclusions

Our results highlight the importance of assessing not only pathogen prevalences but also tick population densities. Extended periods of surveillance in questing ticks are necessary to understand the intricate dynamics of ticks and tick-borne pathogens.