Evidence map›Paper›PMID 37538395›Full record

ArticleNature sustainability2023

Human footprint is associated with shifts in the assemblages of major vector-borne diseases.

Eloise B Skinner, Caroline K Glidden, Andrew J MacDonald, Erin A Mordecai

Open access · hybridAbstract read
In one paragraph

Article in Nature sustainability, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
15.4field-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

23 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Road expansion risk predicts future hotspots of tropical deforestation.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. Article
  8. One health (Amsterdam, Netherlands) · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Pathogens and planetary change.Nature reviews. Biodiversity · 2025
    Article
  16. Review
  17. Towards a 'people and nature' paradigm for biodiversity and infectious disease.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
  18. Predicting the potential distribution areas ofFrontiers in public health · 2025
    Article
  19. Article
  20. Review
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

4 authors at 3 institutions in 2 countries.

Eloise B SkinnerDepartment of Biology, Stanford University, Stanford, CA, USA.
Caroline K GliddenDepartment of Biology, Stanford University, Stanford, CA, USA.ORCID 0000-0001-9839-5781
Andrew J MacDonaldBren School of Environmental Science and Management, University of California, Santa Barbara, Santa Barbara, CA, USA.ORCID 0000-0003-0172-7749
Erin A MordecaiDepartment of Biology, Stanford University, Stanford, CA, USA.ORCID 0000-0002-4402-5547
Stanford University · USGriffith University · AUUniversity of California, Santa Barbara · US

Funding

The child health impacts of overlapping vector-borne diseases in KenyaR01AI102918 · NIAID · STANFORD UNIVERSITY · PI Angelle Desiree LaBeaud · 2013 to 2026
$7.7M
Leveraging environmental drivers to predict vector-borne disease transmissionR35GM133439 · NIGMS · STANFORD UNIVERSITY · PI Erin Mordecai · 2019 to 2026
$3.2M
Modeling the influence of temperature on the evolution of vector-virus interactionsR01AI168097 · NIAID · WADSWORTH CENTER · PI Alexander Timothy Ciota · 2022 to 2026
$2.4M
NIAID NIH HHS R01 AI102918NIAID NIH HHS R01 AI168097NIGMS NIH HHS R35 GM133439
6 · The paper itself

Abstract

Predicting how increasing intensity of human-environment interactions affects pathogen transmission is essential to anticipate changing disease risks and identify appropriate mitigation strategies. Vector-borne diseases (VBDs) are highly responsive to environmental changes, but such responses are notoriously difficult to isolate because pathogen transmission depends on a suite of ecological and social responses in vectors and hosts that may differ across species. Here we use the emerging tools of cumulative pressure mapping and machine learning to better understand how the occurrence of six medically important VBDs, differing in ecology from sylvatic to urban, respond to multidimensional effects of human pressure. We find that not only is human footprint-an index of human pressure, incorporating built environments, energy and transportation infrastructure, agricultural lands and human population density-an important predictor of VBD occurrence, but there are clear thresholds governing the occurrence of different VBDs. Across a spectrum of human pressure, diseases associated with lower human pressure, including malaria, cutaneous leishmaniasis and visceral leishmaniasis, give way to diseases associated with high human pressure, such as dengue, chikungunya and Zika. These heterogeneous responses of VBDs to human pressure highlight thresholds of land-use transitions that may lead to abrupt shifts in infectious disease burdens and public health needs.

Identifiers

PMID37538395
PMCPMC10399301
OpenAlexW4324257804

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.