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Cited by 1,292

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

Climate Change and Infectious Diseases: From Evidence to a Predictive Framework

Altizer, Sonia, Ostfeld, Richard S., Johnson, Pieter T. J., Kutz, Susan, Harvell, C. Drew·2013·Science

Abstract

Scientists have long predicted large-scale responses of infectious diseases to climate change, giving rise to a polarizing debate, especially concerning human pathogens for which socioeconomic drivers and control measures can limit the detection of climate-mediated changes. Climate change has already increased the occurrence of diseases in some natural and agricultural systems, but in many cases, outcomes depend on the form of climate change and details of the host-pathogen system. In this review, we highlight research progress and gaps that have emerged during the past decade and develop a predictive framework that integrates knowledge from ecophysiology and community ecology with modeling approaches. Future work must continue to anticipate and monitor pathogen biodiversity and disease trends in natural ecosystems and identify opportunities to mitigate the impacts of climate-driven disease emergence.

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Crossref · 10.1126/science.1239401

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Metadata

Authors
Altizer, S., Ostfeld, R. S., Johnson, P. T. J., Kutz, S., & Harvell, C. D.
Venue
Science
Published
2013-08-02
Volume
341
Issue
6145
Pages
514-519
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2045334870
Cited by
1,292
References
13
FWCI
58.24
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Climate Change and Infectious Diseases: From Evidence to a Predictive Framework. https://app.cochat.ai/papers/10.1126/science.1239401
The paper
Altizer, S., Ostfeld, R. S., Johnson, P. T. J., Kutz, S., & Harvell, C. D. (2013). Climate Change and Infectious Diseases: From Evidence to a Predictive Framework. Science. https://doi.org/10.1126/science.1239401

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.