Eads David A, Huyvaert Kathryn P, Biggins Dean E
U. S. Geological Survey, Fort Collins Science Center, 2150 Centre Avenue, Building C, Fort Collins, CO, 80526, USA.
Department of Fish, Wildlife, and Conservation Biology, Colorado State University, Fort Collins, CO, 80523, USA.
Int J Parasitol Parasites Wildl. 2023 Jan 7;20:117-121. doi: 10.1016/j.ijppaw.2023.01.002. eCollection 2023 Apr.
Parasite infrapopulation size - the population of parasites affecting a single host - is a central metric in parasitology. However, parasites are small and elusive such that imperfect detection is expected. Repeated sampling of parasites during primary sampling occasions (e.g., each host capture) informs the detection process. Here, we estimate flea (Siphonaptera) infrapopulation size on black-tailed prairie dogs (, BTPDs) as a proof-of-concept for estimating parasite infrapopulations given imperfect detection. From Jun-Aug 2011, we live-trapped 299 BTPDs for a total of 573 captures on 20 plots distributed among 13 colonies at the Vermejo Park Ranch, New Mexico, USA. During each capture, an anesthetized BTPD was combed 3 times consecutively, 15 s each, to remove and count fleas. Each flea ( = 4846) was linked to the BTPD from which it was collected and assigned an encounter history ('100', '010', '001'). We analyzed the encounter histories using Huggins closed captures models, setting recapture probabilities to 0, thereby accounting for flea removal from hosts. The probability of detecting an individual flea () increased with Julian date; field personnel may have become more efficient at combing fleas as the field season progressed. Combined across 3 combings equaled 0.99. Estimates of flea infrapopulation size were reasonable and followed the negative binomial distribution. Our general approach may be broadly applicable to estimating infrapopulation sizes for parasites. The utility of this approach increases as declines but, if is very low, inference is likely limited.
寄生虫感染种群大小——影响单个宿主的寄生虫种群——是寄生虫学中的一个核心指标。然而,寄生虫体积小且难以捉摸,因此预计检测会存在不完美之处。在初次采样期间(例如,每次捕获宿主时)对寄生虫进行重复采样有助于检测过程。在此,我们估计黑尾土拨鼠身上跳蚤(蚤目)的感染种群大小,作为在检测不完美情况下估计寄生虫感染种群的概念验证。2011年6月至8月,我们在美国新墨西哥州韦尔梅霍公园牧场的13个群落中的20个地块上,通过活体诱捕了299只黑尾土拨鼠,总共捕获了573次。在每次捕获过程中,对一只麻醉后的黑尾土拨鼠连续梳理3次,每次15秒,以去除并计数跳蚤。每只跳蚤(n = 4846)都与采集它的黑尾土拨鼠相关联,并被赋予一个相遇历史(“100”、“010”、“001”)。我们使用哈金斯封闭捕获模型分析相遇历史,将再捕获概率设为0,从而考虑到从宿主身上去除的跳蚤。检测到单个跳蚤(p)的概率随儒略日增加;随着野外季节的推进,野外工作人员梳理跳蚤的效率可能更高。三次梳理的综合p值等于0.99。跳蚤感染种群大小的估计是合理的,并且遵循负二项分布。我们的一般方法可能广泛适用于估计寄生虫的感染种群大小。随着p下降,这种方法的效用会增加,但如果p非常低,推断可能会受到限制。