PDF(Pubmed)
Abstract：
Tick-borne diseases (TBD) remain prevalent worldwide, and risk assessment of tick habitat suitability is crucial to prevent or reduce their burden. This scoping review provides a comprehensive survey of models and data used to predict I. scapularis distribution and abundance in North America. We identified 4661 relevant primary research articles published in English between January 1st, 2012, and July 18th, 2022, and selected 41 articles following full-text review. Models used data-driven and mechanistic modelling frameworks informed by diverse tick, hydroclimatic, and ecological variables. Predictions captured tick abundance (n = 14, 34.1%), distribution (n = 22, 53.6%) and both (n = 5, 12.1%). All studies used tick data, and many incorporated both hydroclimatic and ecological variables. Minimal host- and human-specific data were utilized. Biases related to data collection, protocols, and tick data quality affect completeness and representativeness of prediction models. Further research and collaboration are needed to improve prediction accuracy and develop effective strategies to reduce TBD.
摘要：
滴虫传播疾病（TBD）在世界范围内仍然很普遍，蜱栖息地适宜性的风险评估对于防止或减轻它们的负担至关重要。此范围审查提供了用于预测北美肩胛骨I分布和丰度的模型和数据的全面调查。我们确定了1月1日之间以英语发表的4661篇相关主要研究文章，2012年7月18日,2022年，并在全文回顾后选择了41篇文章。模型使用了数据驱动和机械建模框架，这些框架由不同的tick，水文气候，和生态变量。预测捕获的蜱丰度(n=14，34.1%)，分布(n=22，53.6%)和两者(n=5，12.1%)。所有研究都使用滴答数据，许多人同时考虑了水文气候和生态变量。使用了最少的主机和人类特定数据。与数据收集有关的偏见，协议,Tick数据质量影响预测模型的完整性和代表性。需要进一步的研究和合作，以提高预测准确性并制定有效的策略来减少TBD。
