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| Main Authors: | , , , , , , , , , , , , |
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| Format: | Artículo científico |
| Language: | en |
| Published: |
Royal Society open science
2024
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| Online Access: | https://pubmed.ncbi.nlm.nih.gov/39507992/ |
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| _version_ | 1868266282470604802 |
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| author | Shaw, Grace Lilly, Marie Mai, Vincent Clark, Jacoby Summers, Shannon Slater, Kimetha Karpathy, Sandor Nakano, Angie Crews, Arielle Lawrence, Alexandra Salomon, Jordan Sambado, Samantha Brianne Swei, Andrea |
| author_facet | Shaw, Grace Lilly, Marie Mai, Vincent Clark, Jacoby Summers, Shannon Slater, Kimetha Karpathy, Sandor Nakano, Angie Crews, Arielle Lawrence, Alexandra Salomon, Jordan Sambado, Samantha Brianne Swei, Andrea Shaw, Grace Lilly, Marie Mai, Vincent Clark, Jacoby Summers, Shannon Slater, Kimetha Karpathy, Sandor Nakano, Angie Crews, Arielle Lawrence, Alexandra Salomon, Jordan Sambado, Samantha Brianne Swei, Andrea |
| collection | PubMed - marine biology |
| contents | The roles of habitat isolation, landscape connectivity and host community in tick-borne pathogen ecology. Shaw, Grace Lilly, Marie Mai, Vincent Clark, Jacoby Summers, Shannon Slater, Kimetha Karpathy, Sandor Nakano, Angie Crews, Arielle Lawrence, Alexandra Salomon, Jordan Sambado, Samantha Brianne Swei, Andrea Habitat loss and forest fragmentation are often linked to increased pathogen transmission, but the extent to which habitat isolation and landscape connectivity affect disease dynamics through movement of disease vectors and reservoir hosts has not been well examined. Tick-borne diseases are the most prevalent vector-borne diseases in the United States and on the West Coast, is one of the most epidemiologically important vectors. We investigated the impacts of habitat fragmentation on pathogens transmitted by and sought to disentangle the effects of wildlife communities and landscape metrics predictive of pathogen diversity, prevalence and distribution. We collected pathogen data for four co-occurring bacteria transmitted by and measured wildlife parameters. We also used spatial data and cost-distance analysis integrating expert opinions to assess landscape metrics of habitat fragmentation. We found that landscape metrics were significant predictors of tick density and pathogen prevalence. However, wildlife variables were essential when predicting the prevalence and distribution of pathogens reliant on wildlife reservoir hosts for maintenance. We found that landscape structure was an informative predictor of tick-borne pathogen richness in an urban matrix. Our work highlights the implications of large-scale land management on human disease risk. |
| format | Artículo científico |
| id | pubmed_39507992 |
| institution | PubMed |
| language | en |
| publishDate | 2024 |
| publisher | Royal Society open science |
| record_format | pubmed |
| spellingShingle | The roles of habitat isolation, landscape connectivity and host community in tick-borne pathogen ecology. Shaw, Grace Lilly, Marie Mai, Vincent Clark, Jacoby Summers, Shannon Slater, Kimetha Karpathy, Sandor Nakano, Angie Crews, Arielle Lawrence, Alexandra Salomon, Jordan Sambado, Samantha Brianne Swei, Andrea The roles of habitat isolation, landscape connectivity and host community in tick-borne pathogen ecology. Shaw, Grace Lilly, Marie Mai, Vincent Clark, Jacoby Summers, Shannon Slater, Kimetha Karpathy, Sandor Nakano, Angie Crews, Arielle Lawrence, Alexandra Salomon, Jordan Sambado, Samantha Brianne Swei, Andrea Habitat loss and forest fragmentation are often linked to increased pathogen transmission, but the extent to which habitat isolation and landscape connectivity affect disease dynamics through movement of disease vectors and reservoir hosts has not been well examined. Tick-borne diseases are the most prevalent vector-borne diseases in the United States and on the West Coast, is one of the most epidemiologically important vectors. We investigated the impacts of habitat fragmentation on pathogens transmitted by and sought to disentangle the effects of wildlife communities and landscape metrics predictive of pathogen diversity, prevalence and distribution. We collected pathogen data for four co-occurring bacteria transmitted by and measured wildlife parameters. We also used spatial data and cost-distance analysis integrating expert opinions to assess landscape metrics of habitat fragmentation. We found that landscape metrics were significant predictors of tick density and pathogen prevalence. However, wildlife variables were essential when predicting the prevalence and distribution of pathogens reliant on wildlife reservoir hosts for maintenance. We found that landscape structure was an informative predictor of tick-borne pathogen richness in an urban matrix. Our work highlights the implications of large-scale land management on human disease risk. |
| title | The roles of habitat isolation, landscape connectivity and host community in tick-borne pathogen ecology. |
| url | https://pubmed.ncbi.nlm.nih.gov/39507992/ |