Evidence map›Paper›PMID 21481487›Full record

ReviewTrends in ecology & evolution2011

Frontiers in climate change-disease research.

Jason R Rohr, Andrew P Dobson, Pieter T J Johnson, A Marm Kilpatrick, Sara H Paull, Thomas R Raffel, Diego Ruiz-Moreno, Matthew B Thomas

Open access · bronzeAbstract readReview
In one paragraph

Review in Trends in ecology & evolution, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 119 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
119citing papers in PubMed, 3 pooled it
23.9field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

119 citing papers in PubMed, 3 syntheses or guidelines pooled it, 362 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Nature Exposure and Its Effects on Immune System Functioning: A Systematic Review.International journal of environmental research and public health · 2021
    Pooled it
  4. Article
  5. Article
  6. Climate sensitivity is widely but unevenly spread across zoonotic diseases.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. Review
  8. Thermal mismatch models derived from occurrence data predict pathogen prevalence in frogs.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

59 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 6 institutions in 1 country.

Jason R RohrUniversity of South Florida, Department of Integrative Biology, 4202 East Fowler Ave., Tampa, FL 33620, USA. jasonrohr@gmail.com
Andrew P Dobson
Pieter T J Johnson
A Marm Kilpatrick
Sara H Paull
Thomas R Raffel
Diego Ruiz-Moreno
Matthew B Thomas
University of Colorado Boulder · USUniversity of South Florida · USCenter for Disease Dynamics, Economics & Policy · USCornell University · USPrinceton University · USUniversity of California, Santa Cruz · US

Funding

The Impact of Climate and Climate Change on West Nile Virus TransmissionR01AI090159 · NIAID · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI KILPATRICK, AUSTON MARMADUKE · 2010 to 2013
$1.9M
Mechanisms of West Nile virus selection and strain displacementR56AI069217 · NIAID · WADSWORTH CENTER · PI KRAMER, LAURA D · 2008 to 2009
$795k
NIAID NIH HHS 1R01AI069217-01NIAID NIH HHS R01 AI090159NIAID NIH HHS R56 AI069217
6 · The paper itself

Abstract

The notion that climate change will generally increase human and wildlife diseases has garnered considerable public attention, but remains controversial and seems inconsistent with the expectation that climate change will also cause parasite extinctions. In this review, we highlight the frontiers in climate change-infectious disease research by reviewing knowledge gaps that make this controversy difficult to resolve. We suggest that forecasts of climate-change impacts on disease can be improved by more interdisciplinary collaborations, better linking of data and models, addressing confounding variables and context dependencies, and applying metabolic theory to host-parasite systems with consideration of community-level interactions and functional traits. Finally, although we emphasize host-parasite interactions, we also highlight the applicability of these points to climate-change effects on species interactions in general.

Indexed as

Climate ChangeHost-Parasite InteractionsModels, BiologicalBiodiversityCommunicable DiseasesForecastingHumansMetabolism

Identifiers

PMID21481487
PMCPMC3374867
OpenAlexW2111051064

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.