July 2018 PMID 29738078

Tick-borne disease risk in a forest food web.

Richard S Ostfeld, Taal Levi, Felicia Keesing, Kelly Oggenfuss, Charles D Canham

Mentions

25
Peak: 1 in Apr 2019
across 5 sources since Apr 2019

Extended reach

902,815
potential audience

Total likes

26,669

Video views

901,850

Mentions per month

Apr 2019 – May 2021

Where it's discussed

  • News14 articles
  • Facebook4 posts
  • Blogs3 articles
  • X / Twitter2 posts
  • 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.

AgreementNeither agree nor disagree

The posts show a neutral stance, recognizing the complexity of ecological interactions without strongly agreeing or disagreeing with the publication.

InterestModerate interest

Participants seem interested in the subject, especially with references to modeling approaches and ecological mechanisms.

EngagementModerate engagement

Comments indicate a willingness to explore different modeling methods and understand complex systems, reflecting some degree of engagement.

ImpactNeutral impact

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
Arthurama
@ArthurRamalhoM1 · X

@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

May 3, 2021 · 1 like · 354 followers View post →
Guillon Michaël
@MichaelGuillon · X

@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

Feb 5, 2021 · 612 followers View post →

All mentions

Arthurama
@ArthurRamalhoM1 · X

@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

May 3, 2021 · 1 like · 354 followers View post →
Guillon Michaël
@MichaelGuillon · X

@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

Feb 5, 2021 · 612 followers View post →