Koser Troy, Hurt Aimee, Thompson Laura, Courtemanch Alyson, Wise Benjamin, Cross Paul
Montana State University, Montana, USA.
Northern Rocky Mountain Science Center, U.S. Geological Survey, Montana, USA.
Parasit Vectors. 2025 Apr 2;18(1):126. doi: 10.1186/s13071-024-06519-8.
Accurate surveillance data are critical for addressing tick and tick-borne pathogen risk to human and animal health. Current surveillance methods for detecting invading or expanding tick species are limited in their ability to scale efficiently to state or national levels. In this study we explored the potential use of scent detection dogs to assist field surveys for a hard tick species: Dermacentor albipictus.
We used a series of indoor and in situ training simulations to teach scent detection dogs to recognize D. albipictus scent, distinguish tick scent from associated vegetation, and develop a cautious search pattern. After training, we deployed both a scent detection dog survey team and a human-only survey team on transect and surveillance plot surveys then compared the detection rates and efficiency of both methods.
Scent detection dogs required more time and money to train on field surveys but were comparable to traditional tick drags when accounting for cost per unit area surveyed. There was a lack of agreement on positive (ticks present) versus negative (ticks not present) sites between the two methods, implying that neither method is particularly reliable at detecting D. albipictus.
Estimating detection bias and false negative rates for tick surveillance methods such as tick drags will be important for accurately evaluating tick-borne disease risk across space and into the future. We found scent detection dogs to be a reasonable alternative sampling approach to consider when ticks are at low abundance or patchily distributed such as during tick range expansion or novel invasions. Scent detection dogs may also be useful for sampling for ticks in areas or along surfaces that are difficult to sample with the traditional tick drag technique like at ports of entry or livestock competitions.
准确的监测数据对于应对蜱虫及蜱传病原体对人类和动物健康的风险至关重要。当前用于检测入侵或扩散蜱种的监测方法在有效扩展至州或国家层面的能力上存在局限。在本研究中,我们探索了利用气味探测犬协助对一种硬蜱物种:白纹革蜱进行实地调查的可能性。
我们采用了一系列室内和实地训练模拟,教导气味探测犬识别白纹革蜱的气味,将蜱虫气味与相关植被区分开来,并形成谨慎的搜索模式。训练后,我们在样带和监测地块调查中部署了一个气味探测犬调查团队和一个仅由人类组成的调查团队,然后比较了两种方法的检出率和效率。
气味探测犬在实地调查训练上需要更多时间和资金,但在考虑每单位调查面积的成本时,与传统的蜱虫拖曳法相当。两种方法在阳性(存在蜱虫)与阴性(不存在蜱虫)地点上缺乏一致性,这意味着两种方法在检测白纹革蜱方面都不是特别可靠。
估计蜱虫监测方法(如蜱虫拖曳法)的检测偏差和假阴性率对于准确评估蜱传疾病在空间上和未来的风险至关重要。我们发现,当蜱虫数量较少或分布零散时,如在蜱虫分布范围扩大或新入侵期间,气味探测犬是一种可考虑的合理替代抽样方法。气味探测犬也可能有助于在传统蜱虫拖曳技术难以采样的区域或表面进行蜱虫采样,如在入境口岸或牲畜竞赛场地。