IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v629y2024i8013d10.1038_s41586-024-07380-6.html
   My bibliography  Save this article

A meta-analysis on global change drivers and the risk of infectious disease

Author

Listed:
  • Michael B. Mahon

    (University of Notre Dame
    University of Notre Dame)

  • Alexandra Sack

    (University of Notre Dame
    University of Notre Dame)

  • O. Alejandro Aleuy

    (University of Notre Dame)

  • Carly Barbera

    (University of Notre Dame)

  • Ethan Brown

    (University of Notre Dame)

  • Heather Buelow

    (University of Notre Dame)

  • David J. Civitello

    (Emory University)

  • Jeremy M. Cohen

    (Yale University)

  • Luz A. Wit

    (University of Notre Dame)

  • Meghan Forstchen

    (University of Notre Dame
    University of Notre Dame)

  • Fletcher W. Halliday

    (Oregon State University)

  • Patrick Heffernan

    (University of Notre Dame)

  • Sarah A. Knutie

    (University of Connecticut)

  • Alexis Korotasz

    (University of Notre Dame)

  • Joanna G. Larson

    (University of Notre Dame)

  • Samantha L. Rumschlag

    (University of Notre Dame
    University of Notre Dame)

  • Emily Selland

    (University of Notre Dame
    University of Notre Dame)

  • Alexander Shepack

    (University of Notre Dame)

  • Nitin Vincent

    (University of Notre Dame)

  • Jason R. Rohr

    (University of Notre Dame
    University of Notre Dame
    University of Notre Dame)

Abstract

Anthropogenic change is contributing to the rise in emerging infectious diseases, which are significantly correlated with socioeconomic, environmental and ecological factors1. Studies have shown that infectious disease risk is modified by changes to biodiversity2–6, climate change7–11, chemical pollution12–14, landscape transformations15–20 and species introductions21. However, it remains unclear which global change drivers most increase disease and under what contexts. Here we amassed a dataset from the literature that contains 2,938 observations of infectious disease responses to global change drivers across 1,497 host–parasite combinations, including plant, animal and human hosts. We found that biodiversity loss, chemical pollution, climate change and introduced species are associated with increases in disease-related end points or harm, whereas urbanization is associated with decreases in disease end points. Natural biodiversity gradients, deforestation and forest fragmentation are comparatively unimportant or idiosyncratic as drivers of disease. Overall, these results are consistent across human and non-human diseases. Nevertheless, context-dependent effects of the global change drivers on disease were found to be common. The findings uncovered by this meta-analysis should help target disease management and surveillance efforts towards global change drivers that increase disease. Specifically, reducing greenhouse gas emissions, managing ecosystem health, and preventing biological invasions and biodiversity loss could help to reduce the burden of plant, animal and human diseases, especially when coupled with improvements to social and economic determinants of health.

Suggested Citation

  • Michael B. Mahon & Alexandra Sack & O. Alejandro Aleuy & Carly Barbera & Ethan Brown & Heather Buelow & David J. Civitello & Jeremy M. Cohen & Luz A. Wit & Meghan Forstchen & Fletcher W. Halliday & Pa, 2024. "A meta-analysis on global change drivers and the risk of infectious disease," Nature, Nature, vol. 629(8013), pages 830-836, May.
  • Handle: RePEc:nat:nature:v:629:y:2024:i:8013:d:10.1038_s41586-024-07380-6
    DOI: 10.1038/s41586-024-07380-6
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41586-024-07380-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1038/s41586-024-07380-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:nature:v:629:y:2024:i:8013:d:10.1038_s41586-024-07380-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.