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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Dumas, Ariane Bouchard, Catherine Drapeau, Pierre Lindsay, L. Robbin Ogden, Nicholas H. Leighton, Patrick A. |
| Abstract | Background Infectious diseases are emerging across temperate regions of the world, and, for some, links have been made between landscapes and emergence dynamics. For tick-borne diseases, public parks may be important exposure sites for people living in urbanized areas of North America and Europe. In most cases, we know more about the ecological processes that determine the hazard posed by ticks as disease vectors than we do about how human population exposure varies in urban natural parks. Methods In this study, infrared counters were used to monitor visitor use of a public natural park in southern Quebec, Canada. A risk index representing the probability of encounters between humans and infected vectors was constructed. This was done by combining the intensity of visitor trail use and the density of infected nymphs obtained from field surveillance. Patterns of risk were examined using spatial cluster analysis. Digital forest data and park infrastructure data were then integrated using spatially explicit models to test whether encounter risk levels and its components vary with forest fragmentation indicators and proximity to park infrastructure. Results Results suggest that, even at a very fine scales, certain landscape features and infrastructure can be predictors of risk levels. Both visitors and Borrelia burgdorferi-infected ticks concentrated in areas where forest cover was dominant, so there was a positive association between forest cover and the risk index. However, there were no associations between indicators of forest fragmentation and risk levels. Some high-risk clusters contributed disproportionately to the risk distribution in the park relative to their size. There were also two high-risk periods, one in early summer coinciding with peak nymphal activity, and one in early fall when park visitation was highest. Conclusions Here, we demonstrate the importance of integrating indicators of human behaviour visitation with tick distribution data to characterize risk patterns for tick-borne diseases in public natural areas. Indeed, understanding the environmental determinants of human-tick interactions will allow organisations to deploy more effective risk reduction interventions targeted at key locations and times, and improve the management of public health risks associated with tick-borne diseases in public spaces. |
| Related Links | https://bmcpublichealth.biomedcentral.com/counter/pdf/10.1186/s12889-024-18673-w.pdf |
| Ending Page | 15 |
| Page Count | 15 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 14712458 |
| DOI | 10.1186/s12889-024-18673-w |
| Journal | BMC Public Health |
| Issue Number | 1 |
| Volume Number | 24 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2024-04-26 |
| Access Restriction | Open |
| Subject Keyword | Public Health Medicine Epidemiology Biostatistics Vaccine Environmental Health Local scale Risk assessment Tick-borne disease Public natural areas Trail network Spatial analysis Medicine/Public Health |
| Content Type | Text |
| Resource Type | Article |
| Subject | Public Health, Environmental and Occupational Health |
| Journal Impact Factor | 3.5/2023 |
| 5-Year Journal Impact Factor | 3.9/2023 |
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