Schulze Terry L, Jordan Robert A
Terry L. Schulze, Ph.D., Inc., 9 Evergreen Court, Perrineville, NJ, USA.
Monmouth County Mosquito Control Division, 1901 Wayside Road, Tinton Falls, NJ, USA.
J Med Entomol. 2022 Mar 16;59(2):741-751. doi: 10.1093/jme/tjab213.
The public health challenge posed by tick-borne disease (TBD) has increased efforts to characterize the spatial and temporal distribution of ticks and associated pathogens to better focus tick control strategies and personal protection measures. We describe variability in nymphal Ixodes scapularis Say and Amblyomma americanum (L.) density derived from daily drag sampling at a single location in New Jersey over 4 yr and explore how observed differences in daily collections might affect the estimation of acarological risk. We found significant variability in the density of host-seeking nymphs that could suggest substantially different rates of human-tick encounters depending on sampling date, habitat, and ambient weather conditions. The spatial and temporal variability in the distribution of 2 sympatric tick species with different host preferences and questing strategies, suggests that to produce results that are comparable among sites across the area sampled, surveillance efforts may be limited to shorter collection seasons, fewer sites or less sampling effort (fewer plots or fewer visits) per site, and a geographic scope that minimizes the potential temporal and spatial biases indicated here. Our results illustrate that evaluation of models of tick distribution or relative acarological risk based on surveillance data requires a full description of the diversity of habitats sampled and the conditions under which sampling is performed. The array of factors that affect tick host-seeking and that could bias interpretation of sampling results emphasizes the need to standardize sampling protocols and for more caution when interpreting tick sampling data collected over large temporal and spatial scales.
蜱传疾病(TBD)带来的公共卫生挑战促使人们加大力度,以描述蜱虫及其相关病原体的时空分布,从而更好地聚焦蜱虫控制策略和个人防护措施。我们描述了在新泽西州一个地点进行的为期4年的每日拖网采样所得的肩突硬蜱若虫和美洲钝缘蜱密度的变异性,并探讨了每日采集量的观测差异如何影响蜱螨学风险的估计。我们发现,寻找宿主的若虫密度存在显著变异性,这可能表明根据采样日期、栖息地和环境天气条件的不同,人与蜱虫接触的比率会有很大差异。两种具有不同宿主偏好和搜寻策略的同域蜱种分布的时空变异性表明,为了使采样区域内各地点的结果具有可比性,监测工作可能需要限制在较短的采集季节、较少的地点或每个地点较少的采样工作量(较少的样地或较少的访问次数),以及一个能将此处所示潜在时空偏差降至最低的地理范围。我们的结果表明,基于监测数据对蜱虫分布模型或相对蜱螨学风险进行评估,需要全面描述采样栖息地的多样性以及采样所进行的条件。影响蜱虫寻找宿主且可能使采样结果解释产生偏差的一系列因素,强调了标准化采样方案的必要性,以及在解释跨大时空尺度收集的蜱虫采样数据时需更加谨慎。