Models and data used to predict the abundance and distribution of Ixodes scapularis (blacklegged tick) in North America: a scoping review

TitleModels and data used to predict the abundance and distribution of Ixodes scapularis (blacklegged tick) in North America: a scoping review
Publication TypeJournal Article
Year of Publication2024
JournalLancet Reg Health Am
Volume7
Date Published04/2024
AuthorsSharma Y, Laison EKE, Philippsen T, Ma J, Kong J, Ghaemi S, Liu J, Hu F, Nasri BR
KeywordsData-driven, Ixodes scapularis, Mechanistic Mathematical, Models, north america, ticks
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.

URLhttps://www.thelancet.com/journals/lanam/article/PIIS2667-193X(24)00033-4/fulltext