@IngridStarfish @mmfbee foi mal demora, vou mandar uns links principalmente de abordagens diferentes de modelar e entender risco de transmissão é um pouco mais minha praia: https://t.co/AOa2XW8Wdj https://t.co/rXJXCxmsni https://t.co/Aa1Ewzdjx1 - esse aqui é mais disease ecology
Tick-borne disease risk in a forest food web.
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Apr 2019 – May 2021Where it's discussed
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News14 articles
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Facebook4 posts
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Blogs3 articles
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X / Twitter2 posts
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YouTube2 videos
AI synopsis
What people are saying
The discussions highlight interest in modeling ecological risk and mechanisms behind tick-borne disease transmission, with mentions of approaches like disease ecology and the importance of complex mechanisms that are challenging to predict, as seen in phrases like 'abordagens diferentes de modelar' and 'mecanismes complexes à élucider,' which convey curiosity and analytical depth.
The posts show a neutral stance, recognizing the complexity of ecological interactions without strongly agreeing or disagreeing with the publication.
Participants seem interested in the subject, especially with references to modeling approaches and ecological mechanisms.
Comments indicate a willingness to explore different modeling methods and understand complex systems, reflecting some degree of engagement.
The discussions seem to acknowledge the importance of ecological complexity, but do not suggest the research has a direct or transformative impact yet.
Abstract in brief
- The study analyzes 19 years of data from southeastern New York to understand how various ecological factors, like acorn and rodent abundance, affect Lyme disease risk, with findings showing that higher acorn and rodent populations lead to increased infected ticks.
- It highlights that climate conditions, such as warm, dry springs or winters, can reduce the number of infected ticks, and that predator community diversity, especially the presence of bobcats, can lower the prevalence of tick-borne pathogens.
- The research suggests that changes in predator populations, like coyotes displacing smaller predators, can influence disease transmission, indicating complex interactions between wildlife communities and disease risks in forest ecosystems.
Top posts
Most liked on X and Bluesky@JyJyt03 @DrToudou @MacLesggy @geninbv mais il y a des possibles rétro contrôle négatif. Les mécanismes sont complexes à élucider et à prévoir, d'autant plus dans un environnement changeant : https://t.co/rRvgvYBIVF
All mentions
Understanding the Increasing Spread of Lyme Disease in a Changing World
Lyme disease is the most common tick-borne illness, with cases rising due to landscape changes. Key uncertainties include the roles of deer, host communities, and tick regulation. Filling these gaps improves disease…
Why is Lyme disease spreading globally? Key ecological insights
@IngridStarfish @mmfbee foi mal demora, vou mandar uns links principalmente de abordagens diferentes de modelar e entender risco de transmissão é um pouco mais minha praia: https://t.co/AOa2XW8Wdj https://t.co/rXJXCxmsni https://t.co/Aa1Ewzdjx1 - esse aqui é mais disease ecology
@JyJyt03 @DrToudou @MacLesggy @geninbv mais il y a des possibles rétro contrôle négatif. Les mécanismes sont complexes à élucider et à prévoir, d'autant plus dans un environnement changeant : https://t.co/rRvgvYBIVF
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