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蜱虫叮咬的“气象学”预防:对公众对在线蜱虫活动预测反应的评估

Tick-Bite "Meteo"-Prevention: An Evaluation of Public Responsiveness to Tick Activity Forecasts Available Online.

作者信息

Zeman Petr

机构信息

Medical Laboratories, Konevova 205, 130 00 Prague, Czech Republic.

出版信息

Life (Basel). 2023 Sep 14;13(9):1908. doi: 10.3390/life13091908.

DOI:10.3390/life13091908
PMID:37763311
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10533051/
Abstract

Until causal prophylaxis is available, the avoidance of ticks and personal protection provide the best insurance against contracting a tick-borne disease (TBD). To support public precaution, tick-activity forecasts (TAFs) based on weather projection are provided online for some regions/countries. This study-aimed at evaluating the efficacy of this preventative strategy-was conducted between 2015 and 2019, and included two countries where TAFs are issued regularly (Czech Republic, Germany) and two neighbouring countries for reference (Austria, Switzerland). Google Trends (GT) data were used to trace public concern with TAFs and related health information. GTs were compared with epidemiological data on TBD cases and tick bites, wherever available. Computer simulations of presumable effectiveness under various scenarios were performed. This study showed that public access to TAFs/preventive information is infrequent and not optimally distributed over the season. Interest arises very early in midwinter and then starts to fall in spring/summer when human-tick contacts culminate. Consequently, a greater number of TBD cases are contracted beyond the period of maximum public responsiveness to prevention guidance. Simulations, nevertheless, indicate that there is a potential for doubling the prevention yield if risk assessment, in addition to tick activity, subsumes the population's exposure, and a real-time surrogate is proposed.

摘要

在有因果预防措施可用之前,避免接触蜱虫和采取个人防护措施是预防蜱传疾病(TBD)的最佳保障。为支持公众预防,一些地区/国家会在线提供基于天气预测的蜱虫活动预报(TAF)。本研究旨在评估这一预防策略的效果,于2015年至2019年期间开展,研究对象包括两个定期发布TAF的国家(捷克共和国、德国)以及两个作为参考的邻国(奥地利、瑞士)。利用谷歌趋势(GT)数据追踪公众对TAF及相关健康信息的关注情况。只要有相关数据,就将GT数据与TBD病例和蜱虫叮咬的流行病学数据进行比较。还对各种情况下可能的有效性进行了计算机模拟。本研究表明,公众获取TAF/预防信息的频率较低,且在整个季节的分布也不尽理想。在冬季中期公众就早早产生了兴趣,但到了春季/夏季,随着人与蜱虫接触达到高峰,兴趣开始下降。因此,在公众对预防指导的反应达到最大程度之后,仍有大量TBD病例出现。不过,模拟结果表明,如果风险评估除了考虑蜱虫活动外,还纳入人群暴露情况,并提出实时替代指标,那么预防效果有可能提高一倍。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0a/10533051/bbcc1a1e84d1/life-13-01908-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0a/10533051/1398bab475d6/life-13-01908-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0a/10533051/bbcc1a1e84d1/life-13-01908-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0a/10533051/1398bab475d6/life-13-01908-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0a/10533051/576b5bce9373/life-13-01908-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0a/10533051/d1b9a0fec25c/life-13-01908-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0a/10533051/1e5e6e611159/life-13-01908-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0a/10533051/13921ed71430/life-13-01908-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0a/10533051/bbcc1a1e84d1/life-13-01908-g006.jpg

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