Siegel Eric L, Lavoie Nathalie, Xu Guang, Brown Catherine M, Ledizet Michel, Rich Stephen M
Laboratory of Medical Zoology, Department of Microbiology, University of Massachusetts, Amherst, MA 01003, USA.
Graduate School of Biomedical Sciences, Tufts University, Boston, MA 02111, USA.
Microorganisms. 2023 May 27;11(6):1418. doi: 10.3390/microorganisms11061418.
Tick-borne zoonoses pose a serious burden to global public health. To understand the distribution and determinants of these diseases, the many entangled environment-vector-host interactions which influence risk must be considered. Previous studies have evaluated how passive tick testing surveillance measures connect with the incidence of human Lyme disease. The present study sought to extend this to babesiosis and anaplasmosis, two rare tick-borne diseases. Human cases reported to the Massachusetts Department of Health and submissions to TickReport tick testing services between 2015 and 2021 were retrospectively analyzed. Moderate-to-strong town-level correlations using Spearman's Rho (ρ) were established between submissions (total, infected, adult, and nymphal) and human disease. Aggregated ρ values ranged from 0.708 to 0.830 for anaplasmosis and 0.552 to 0.684 for babesiosis. Point observations maintained similar patterns but were slightly weaker, with mild year-to-year variation. The seasonality of tick submissions and demographics of bite victims also correlated well with reported disease. Future studies should assess how this information may best complement human disease reporting and entomological surveys as proxies for Lyme disease incidence in intervention studies, and how it may be used to better understand the dynamics of human-tick encounters.
蜱传人畜共患病给全球公共卫生带来了沉重负担。为了解这些疾病的分布和决定因素,必须考虑影响风险的众多相互交织的环境-媒介-宿主相互作用。以往的研究评估了被动蜱检测监测措施与人类莱姆病发病率之间的联系。本研究试图将此扩展到巴贝斯虫病和无形体病这两种罕见的蜱传疾病。对2015年至2021年间向马萨诸塞州卫生部报告的人类病例以及提交给TickReport蜱检测服务机构的样本进行了回顾性分析。使用斯皮尔曼等级相关系数(ρ)在样本(总数、感染样本、成年蜱样本和若虫样本)与人类疾病之间建立了中度至强的镇级相关性。无形体病的汇总ρ值范围为0.708至0.830,巴贝斯虫病为0.552至0.684。逐点观测保持了相似的模式,但略弱一些,且年际变化较小。蜱样本的季节性和叮咬受害者的人口统计学特征也与报告的疾病密切相关。未来的研究应评估这些信息如何能最好地补充人类疾病报告和昆虫学调查,作为干预研究中莱姆病发病率的代理指标,以及如何利用这些信息更好地理解人与蜱接触的动态情况。