Vassallo M, Perez-Eid C, Bonnet S I, Paul R E
Unité d'Écologie des Systèmes Vectoriels, Institut Pasteur, 25 rue du Dr Roux, Paris, 75724, cedex 15, France.
Ecology and Emergence of Arthropod-borne Pathogens Unit, Institut Pasteur, Université Paris Cité, CNRS UMR 2000, INRAE USC 1510, Paris, 75724, cedex 15, France.
Exp Appl Acarol. 2025 Sep 11;95(3):42. doi: 10.1007/s10493-025-01065-z.
Ticks are important arthropod vectors of many human and veterinary diseases in temperate regions. Ticks are highly sensitive to desiccation and questing behaviour in search for animal hosts is driven by ambient temperature. This study assessed the association of meteorological factors with the monthly abundance of nymph Ixodes ricinus in three differing botanically classified homogenous study sites over a two-year period in France and then compared predicted abundance with that observed in the third year. We then applied the same approach to Lyme Disease (LD) cases that are notifiable in Connecticut, the USA, over a six-year period and then compared predictions with the observed number for the subsequent four years. There were predictable negative associations between temperature and nymph activity patterns at four months lag time across all vegetation site types and with LD cases at five months lag time. This corresponded to a decrease in Relative Risk of 8-10% for every 1 °C increase. Despite the different tick species in Europe and in northern USA, I. ricinus and Ixodes scapularis respectively, the two species have a similar temperature-dependency. In the context of global warming, we can expect to observe a shift in the temporal pattern of tick activity and risk of Lyme disease. It remains to be assessed as to whether earlier higher activity peaks may lead to shorter tick seasons with the temperature-dependent depletion of the putatively finite annual nymph stock.
蜱虫是温带地区许多人类和兽类疾病的重要节肢动物传播媒介。蜱虫对干燥高度敏感,寻找动物宿主的搜寻行为受环境温度驱动。本研究评估了法国三个不同植物分类的同质研究地点在两年期间气象因素与蓖麻硬蜱若虫月度丰度的关联,然后将预测丰度与第三年观察到的丰度进行比较。然后,我们对美国康涅狄格州六年期间可报告的莱姆病(LD)病例采用相同方法,然后将预测结果与随后四年观察到的病例数进行比较。在所有植被类型的地点,温度与若虫活动模式在四个月滞后时间存在可预测的负相关,与莱姆病病例在五个月滞后时间存在负相关。这相当于每升高1°C,相对风险降低8 - 10%。尽管欧洲和美国北部的蜱虫种类不同,分别为蓖麻硬蜱和肩突硬蜱,但这两个物种具有相似的温度依赖性。在全球变暖的背景下,我们可以预期观察到蜱虫活动的时间模式和莱姆病风险的转变。至于更早出现的较高活动峰值是否可能导致蜱虫季节缩短,以及温度依赖的假定有限年度若虫种群数量减少,仍有待评估。