دورية أكاديمية

Mechanistic movement models reveal ecological drivers of tick-borne pathogen spread

التفاصيل البيبلوغرافية
العنوان: Mechanistic movement models reveal ecological drivers of tick-borne pathogen spread
المؤلفون: Tardy, Olivia, Bouchard, Catherine, Chamberland, Eric, Fortin, André, Lamirande, Patricia, Ogden, Nicholas H., Leighton, Patrick A.
المساهمون: Public Health Agency of Canada, Natural Sciences and Engineering Research Council of Canada
المصدر: Journal of The Royal Society Interface ; volume 18, issue 181 ; ISSN 1742-5662
بيانات النشر: The Royal Society
سنة النشر: 2021
الوصف: Identifying ecological drivers of tick-borne pathogen spread has great value for tick-borne disease management. However, theoretical investigations into the consequences of host movement behaviour on pathogen spread dynamics in heterogeneous landscapes remain limited because spatially explicit epidemiological models that incorporate more realistic mechanisms governing host movement are rare. We built a mechanistic movement model to investigate how the interplay between multiple ecological drivers affects the risk of tick-borne pathogen spread across heterogeneous landscapes. We used the model to generate simulations of tick dispersal by migratory birds and terrestrial hosts across theoretical landscapes varying in resource aggregation, and we performed a sensitivity analysis to explore the impacts of different parameters on the infected tick spread rate, tick infection prevalence and infected tick density. Our findings highlight the importance of host movement and tick population dynamics in explaining the infected tick spread rate into new regions. Tick infection prevalence and infected tick density were driven by predictors related to the infection process and tick population dynamics, respectively. Our results suggest that control strategies aiming to reduce tick burden on tick reproduction hosts and encounter rate between immature ticks and pathogen amplification hosts will be most effective at reducing tick-borne disease risk.
نوع الوثيقة: article in journal/newspaper
اللغة: English
DOI: 10.1098/rsif.2021.0134
الإتاحة: https://doi.org/10.1098/rsif.2021.0134Test
حقوق: https://royalsociety.org/journals/ethics-policies/data-sharing-miningTest/
رقم الانضمام: edsbas.751FA509
قاعدة البيانات: BASE