Models and data used to predict the abundance and distribution of Ixodes scapularis (blacklegged tick) in North America: A scoping review
| dc.contributor.author | Sharma, Yogita | |
| dc.contributor.author | Laison, Elda K. E. | |
| dc.contributor.author | Philippsen, Tanya | |
| dc.contributor.author | Ma, Junling | |
| dc.contributor.author | Kong, Jude | |
| dc.contributor.author | Ghaemi, Sajjad | |
| dc.contributor.author | Liu, Juxin | |
| dc.contributor.author | Hu, François | |
| dc.contributor.author | Nasri, Bouchra | |
| dc.date.accessioned | 2024-03-28T15:17:22Z | |
| dc.date.available | 2024-03-28T15:17:22Z | |
| dc.date.issued | 2024 | |
| dc.description | The authors would also like to acknowledge the reviewers for their helpful comments and suggestions. Their input greatly improved the quality of this manuscript. | |
| dc.description.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 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. | |
| dc.description.reviewstatus | Reviewed | |
| dc.description.scholarlevel | Faculty | |
| dc.description.sponsorship | This study is funded by the Natural Sciences and Engineering Research Council of Canada (NSERC) Emerging Infectious Diseases Modelling Initiative (EIDM), awarded to the Mathematics for Public Health (MfPH) program led by the Fields Institute. The funder source had no role in the study design, data collection, analysis, interpretation, or writing of the report. | |
| dc.identifier.citation | Sharma, Y., Laison, E. K. E., Philippsen, T., Ma, J., Kong, J., Ghaemi, ... Nasri, B. (2024). Models and data used to predict the abundance and distribution of Ixodes scapularis (blacklegged tick) in North America: A scoping review. The Lancet Regional Health - Americas, 32, 100706. https://doi.org/10.1016/j.lana.2024.100706 | |
| dc.identifier.uri | https://doi.org/10.1016/j.lana.2024.100706 | |
| dc.identifier.uri | https://hdl.handle.net/1828/16324 | |
| dc.language.iso | en | |
| dc.publisher | The Lancet Regional Health - Americas | |
| dc.rights | Attribution-NonCommercial 4.0 International | en |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | |
| dc.subject | Ixodes scapularis | |
| dc.subject | models | |
| dc.subject | ticks | |
| dc.subject | North America | |
| dc.subject | data-driven | |
| dc.subject | mechanistic | |
| dc.subject | mathematical | |
| dc.title | Models and data used to predict the abundance and distribution of Ixodes scapularis (blacklegged tick) in North America: A scoping review | |
| dc.type | Article |