• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

评估NEON数据以模拟佛罗里达州蜱虫的时空动态

Evaluation of NEON Data to Model Spatio-Temporal Tick Dynamics in Florida.

作者信息

Klarenberg Geraldine, Wisely Samantha M

机构信息

Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, FL 32611, USA.

出版信息

Insects. 2019 Sep 27;10(10):321. doi: 10.3390/insects10100321.

DOI:10.3390/insects10100321
PMID:31569729
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6836180/
Abstract

In 2013, the National Ecological Observatory Network (NEON) started collecting 30-year multi-faceted ecological data at various spatial and temporal scales across the US including ticks. Understanding the abundance and dynamics of disease vectors under changing environmental conditions in the long-term is important to societies, but sustained long-term collection efforts are sparse. Using hard-bodied tick data collected by NEON, the vegetation and atmospheric data and a statistical state-space model, which included a detection probability component, this study estimated the abundance of tick nymphs and adult ticks across a Florida NEON location. It took into account the spatial and temporal variation, and factors affecting detection. Its purpose was to test the applicability of data collected thus far and evaluate tick abundance. The study found an increase in tick abundance at this Florida location, and was able to explain spatial and temporal variability in abundance and detection. This approach shows the potential of NEON data. The NEON data collection is unique in scale, and promises to be of great value to understand tick and disease dynamics across the US. From a public health perspective, the detection probability of vectors can be interpreted as the probability of encountering that vector, making these types of analyses useful for estimating disease risk.

摘要

2013年,国家生态观测网络(NEON)开始在美国各地不同的空间和时间尺度上收集为期30年的多方面生态数据,其中包括蜱虫数据。从长期来看,了解不断变化的环境条件下病媒的数量及动态变化对社会很重要,但持续的长期数据收集工作却很少。本研究利用NEON收集的硬蜱数据、植被和大气数据以及一个包含检测概率成分的统计状态空间模型,估算了佛罗里达州一个NEON站点的蜱若虫和成年蜱的数量。该研究考虑了空间和时间变化以及影响检测的因素。其目的是检验迄今收集到的数据的适用性,并评估蜱虫数量。研究发现该佛罗里达站点的蜱虫数量有所增加,并且能够解释数量及检测方面的空间和时间变异性。这种方法显示了NEON数据的潜力。NEON的数据收集在规模上独一无二,有望在了解美国各地蜱虫及疾病动态方面具有巨大价值。从公共卫生角度来看,病媒的检测概率可解释为遇到该种病媒的概率,使得这类分析对于估计疾病风险很有用。

相似文献

1
Evaluation of NEON Data to Model Spatio-Temporal Tick Dynamics in Florida.评估NEON数据以模拟佛罗里达州蜱虫的时空动态
Insects. 2019 Sep 27;10(10):321. doi: 10.3390/insects10100321.
2
Longer study length, standardized sampling techniques, and broader geographic scope leads to higher likelihood of detecting stable abundance patterns in long term black-legged tick studies.研究时间更长、采样技术标准化、地理范围更广,更有可能在长期黑腿蜱研究中发现稳定的丰度模式。
PeerJ. 2022 Oct 19;10:e13916. doi: 10.7717/peerj.13916. eCollection 2022.
3
Ticks and Tick-Borne Pathogens from Wild Pigs in Northern and Central Florida.佛罗里达州北部和中部野猪身上的蜱虫及蜱传病原体
Insects. 2023 Jul 6;14(7):612. doi: 10.3390/insects14070612.
4
Tick abundance, diversity and pathogen data collected by the National Ecological Observatory Network.由国家生态观测站网络收集的蜱虫数量、多样性和病原体数据。
GigaByte. 2022 May 20;2022:gigabyte56. doi: 10.46471/gigabyte.56. eCollection 2022.
5
Assessment and statistical modeling of the relationship between remotely sensed aerosol optical depth and PM2.5 in the eastern United States.美国东部地区遥感气溶胶光学厚度与PM2.5之间关系的评估及统计建模
Res Rep Health Eff Inst. 2012 May(167):5-83; discussion 85-91.
6
A 117-year retrospective analysis of Pennsylvania tick community dynamics.宾夕法尼亚州蜱虫群落动态的 117 年回顾性分析。
Parasit Vectors. 2019 Apr 29;12(1):189. doi: 10.1186/s13071-019-3451-6.
7
Temporal dynamics of the tick Ixodes ricinus in northern Europe: epidemiological implications.北欧蓖麻硬蜱的时间动态:流行病学意义
Parasit Vectors. 2017 Mar 31;10(1):166. doi: 10.1186/s13071-017-2112-x.
8
The phenology of ticks and the effects of long-term prescribed burning on tick population dynamics in southwestern Georgia and northwestern Florida.佐治亚州西南部和佛罗里达州西北部蜱虫的物候学以及长期规定火烧对蜱虫种群动态的影响。
PLoS One. 2014 Nov 6;9(11):e112174. doi: 10.1371/journal.pone.0112174. eCollection 2014.
9
Two-year monitoring of tick abundance and influencing factors in an urban area (city of Hanover, Germany).德国汉诺威市城区蜱虫密度及其影响因素的两年监测。
Ticks Tick Borne Dis. 2020 Sep;11(5):101464. doi: 10.1016/j.ttbdis.2020.101464. Epub 2020 May 7.
10
Abiotic and habitat drivers of tick vector abundance, diversity, phenology and human encounter risk in southern California.南加州蜱虫媒介丰度、多样性、物候和人类遭遇风险的非生物和生境驱动因素。
PLoS One. 2018 Jul 31;13(7):e0201665. doi: 10.1371/journal.pone.0201665. eCollection 2018.

引用本文的文献

1
Assessing the Influence of Climate Change and Environmental Factors on the Top Tick-Borne Diseases in the United States: A Systematic Review.评估气候变化和环境因素对美国主要蜱传疾病的影响:一项系统综述。
Microorganisms. 2023 Dec 27;12(1):50. doi: 10.3390/microorganisms12010050.
2
Understanding Organisms Using Ecological Observatory Networks.利用生态观测网络了解生物体。
Integr Org Biol. 2023 Sep 25;5(1):obad036. doi: 10.1093/iob/obad036. eCollection 2023.
3
Advancing the Science of Tick and Tick-Borne Disease Surveillance in the United States.

本文引用的文献

1
Standardized Ixodid Tick Survey in Mainland Florida.佛罗里达州大陆标准化硬蜱调查
Insects. 2019 Aug 1;10(8):235. doi: 10.3390/insects10080235.
2
An efficient extension of N-mixture models for multi-species abundance estimation.用于多物种丰度估计的N混合模型的有效扩展。
Methods Ecol Evol. 2018 Feb;9(2):340-353. doi: 10.1111/2041-210X.12856. Epub 2017 Jul 24.
3
Range Expansion of Tick Disease Vectors in North America: Implications for Spread of Tick-Borne Disease.蜱传疾病媒介在北美的范围扩大:对蜱传疾病传播的影响。
推进美国蜱虫及蜱传疾病监测科学
Insects. 2019 Oct 19;10(10):361. doi: 10.3390/insects10100361.
Int J Environ Res Public Health. 2018 Mar 9;15(3):478. doi: 10.3390/ijerph15030478.
4
Identifiability in N-mixture models: a large-scale screening test with bird data.N 混合物模型中的可识别性:鸟类数据的大规模筛选测试。
Ecology. 2018 Feb;99(2):281-288. doi: 10.1002/ecy.2093. Epub 2018 Jan 18.
5
Host, habitat and climate preferences of Ixodes angustus (Acari: Ixodidae) and infection with Borrelia burgdorferi and Anaplasma phagocytophilum in California, USA.美国加利福尼亚州窄颚硬蜱(蜱螨亚纲:硬蜱科)的宿主、栖息地和气候偏好以及伯氏疏螺旋体和嗜吞噬细胞无形体感染情况
Exp Appl Acarol. 2016 Oct;70(2):239-52. doi: 10.1007/s10493-016-0068-8. Epub 2016 Jul 14.
6
Habitat and Vegetation Variables Are Not Enough When Predicting Tick Populations in the Southeastern United States.在美国东南部预测蜱虫种群时,栖息地和植被变量并不足够。
PLoS One. 2015 Dec 11;10(12):e0144092. doi: 10.1371/journal.pone.0144092. eCollection 2015.
7
Modeling the Present and Future Geographic Distribution of the Lone Star Tick, Amblyomma americanum (Ixodida: Ixodidae), in the Continental United States.模拟美国大陆孤星蜱(美洲钝眼蜱,蜱螨目:硬蜱科)当前及未来的地理分布。
Am J Trop Med Hyg. 2015 Oct;93(4):875-90. doi: 10.4269/ajtmh.15-0330. Epub 2015 Jul 27.
8
Different populations of blacklegged tick nymphs exhibit differences in questing behavior that have implications for human lyme disease risk.不同种群的黑腿蜱若虫在搜寻行为上存在差异,这对人类莱姆病风险具有影响。
PLoS One. 2015 May 21;10(5):e0127450. doi: 10.1371/journal.pone.0127450. eCollection 2015.
9
The phenology of ticks and the effects of long-term prescribed burning on tick population dynamics in southwestern Georgia and northwestern Florida.佐治亚州西南部和佛罗里达州西北部蜱虫的物候学以及长期规定火烧对蜱虫种群动态的影响。
PLoS One. 2014 Nov 6;9(11):e112174. doi: 10.1371/journal.pone.0112174. eCollection 2014.
10
Relative humidity and activity patterns of Ixodes scapularis (Acari: Ixodidae).硬蜱(蜱螨目:硬蜱科)的相对湿度和活动模式。
J Med Entomol. 2014 Jul;51(4):769-76. doi: 10.1603/me13186.