Evidence map›Paper›PMID 40439928›Full record

ReviewIntegrative and comparative biology2025

Exploring Metrics of Biological Diversity to Better Predict and Respond to Emerging Diseases.

Andrea Swei, Heather Broughton, Arielle Crews, Marie Lilly, Grace Shaw, Shannon Summers

Abstract readReview
In one paragraph

Review in Integrative and comparative biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Andrea SweiDepartment of Biology, San Francisco State University, San Francisco, CA 94132, USA.ORCID 0000-0002-4475-4539
Heather BroughtonInstitute for Integrative Conservation, College of William and Mary, Williamsburg, VA 23185, USA.
Arielle CrewsDepartment of Biology, San Francisco State University, San Francisco, CA 94132, USA.
Marie LillyDepartment of Ecology, Evolution, and Environmental Biology, Columbia University, New York, NY 10027, USA.
Grace ShawDepartment of Biology, San Francisco State University, San Francisco, CA 94132, USA.
Shannon SummersDepartment of Biology, San Francisco State University, San Francisco, CA 94132, USA.

Funding

ACL HHS U01CK000649CDC HHS 1U01CK000516CDC HHS 1U01CK000649National Science Foundation 175037NCEZID CDC HHS U01 CK000516NCEZID CDC HHS U01 CK000649
6 · The paper itself

Abstract

The emergence of infectious diseases is largely driven by spillover events from animal communities into human populations, with zoonotic pathogens accounting for 75% of novel infectious agents. In recent years, the incidence and prevalence of these pathogens have been on the rise, and efforts to understand the underlying ecological principles responsible for the reported increases have highlighted the role of biodiversity loss as a major contributing factor. Despite its role in pathogen emergence, how biodiversity is measured can differ drastically and may underlie variability in study results, making the impacts of biodiversity on pathogen behavior difficult to untangle. Here, we first examine how landscape parameters affect disease transmission and then evaluate metrics used in various disease systems to discuss the ways that different aspects of biodiversity, such as functional, phylogenetic, and trophic diversity, can provide novel insight into the relationship between host communities and disease emergence and transmission. We focus on the tick-borne pathogen that causes Lyme disease in this review and discuss how functional, trophic, and phylogenetic diversity can improve our understanding of the relationship between host community structure and disease transmission. The growing public health burden of tick-borne diseases necessitates holistic thinking to inform actions to decrease the risk of disease to humans and protect natural communities.

Indexed as

BiodiversityCommunicable Diseases, EmergingLyme DiseaseAnimalsHumansPhylogeny

Identifiers

PMID40439928
PMCPMC12448215

What OpenQuestion holds

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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.