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2015-2019 年马萨诸塞州的人被蜱虫叮咬的被动监测。

Passive Surveillance of Human-Biting Ticks in Massachusetts from 2015-2019.

机构信息

Clinical and Translational Science Graduate Program, Tufts University Graduate School of Biomedical Sciences, Boston, MA 02111, USA.

Department of Biological Sciences, Eck Institute of Global Health, University of Notre Dame, Notre Dame, IN 46556, USA.

出版信息

Int J Environ Res Public Health. 2023 Feb 28;20(5):4306. doi: 10.3390/ijerph20054306.

Abstract

This study aimed to analyze human-biting ticks submitted to TickReport tick testing service from 2015-2019 in Massachusetts to (1) examine possible patterns of pathogen-positive adult and nymphal ticks over time and (2) explore how socioeconomic factors can influence tick submissions. A passive surveillance data set of ticks and tick-borne pathogens was conducted over 5 years (2015-2019) in Massachusetts. The percentages of four tick-borne pathogens: , and were determined by Massachusetts county and by month and year. Regression models were used to examine the association between zip-code-level socioeconomic factors and submissions. A total of 13,598 ticks were submitted to TickReport from Massachusetts residents. The infection rate of , and was 39%, 8%, and 7% in adult ticks; 23%, 6%, and 5% in nymphal ticks, respectively. A relatively higher level of education was associated with high tick submission. Passive surveillance of human-biting ticks and associated pathogens is important for monitoring tick-borne diseases, detecting areas with potentially high risks, and providing public information. Socioeconomic factors should be considered to produce more generalizable passive surveillance data and to target potentially underserved areas.

摘要

本研究旨在分析 2015-2019 年马萨诸塞州 TickReport 蜱检测服务提交的人类叮咬蜱,以(1)随着时间的推移,检查病原体阳性成蜱和若蜱的可能模式,(2)探索社会经济因素如何影响蜱的提交。2015-2019 年在马萨诸塞州进行了为期 5 年的蜱和蜱传病原体的被动监测数据集。通过马萨诸塞州各县和月份以及年份确定了四种蜱传病原体: 、 、 和 。回归模型用于检查邮政编码水平的社会经济因素与提交之间的关联。共向 TickReport 提交了 13598 只来自马萨诸塞州居民的蜱。成蜱的感染率分别为 、 和 为 39%、8%和 7%;在若蜱中,分别为 23%、6%和 5%。较高的教育水平与高蜱的提交有关。对人类叮咬蜱和相关病原体的被动监测对于监测蜱传疾病、检测潜在高风险区域以及提供公共信息非常重要。应考虑社会经济因素,以产生更具普遍性的被动监测数据,并针对潜在服务不足的地区。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fa6/10002092/84c1d8aa3ad0/ijerph-20-04306-g001.jpg

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