Evidence map›Paper›PMID 31819238›Full record

ReviewNature ecology & evolution2020

Towards common ground in the biodiversity-disease debate.

Jason R Rohr, David J Civitello, Fletcher W Halliday, Peter J Hudson, Kevin D Lafferty, Chelsea L Wood, Erin A Mordecai

Abstract readReview
In one paragraph

Review in Nature ecology & evolution, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 106 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
106citing papers in PubMed, 1 pooled it
–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

106 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Shedding-weighted network approaches for understanding tuberculosis maintenance in multihost systems using camera traps.Ecological applications : a publication of the Ecological Society of America · 2026
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46 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

7 authors.

Jason R RohrDepartment of Biological Sciences, Eck Institute of Global Health, Environmental Change Initiative, University of Notre Dame, Notre Dame, IN, USA. jasonrohr@gmail.com.ORCID http://orcid.org/0000-0001-8285-4912
David J CivitelloDepartment of Biology, Emory University, Atlanta, GA, USA.
Fletcher W HallidayDepartment of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0003-3953-0861
Peter J HudsonCenter for Infectious Disease Dynamics, Biology Department, The Pennsylvania State University, University Park, PA, USA.
Kevin D LaffertyWestern Ecological Research Center, US Geological Survey, c/o Marine Science Institute, University of California, Santa Barbara, CA, USA.
Chelsea L WoodSchool of Aquatic and Fishery Sciences, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0003-2738-3139
Erin A MordecaiBiology Department, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-4402-5547

Funding

Effects of agricultural expansion and intensification on infectionsR01TW010286 · FIC · UNIVERSITY OF SOUTH FLORIDA · PI REMAIS, JUSTIN V, ROHR, JASON ROBERT · 2015 to 2019
$2.4M
EID disease in complex communities: multi-host multi-pathogen interactionsR01GM109499 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI BRIGGS, CHERYL J · 2013 to 2016
$1.7M
FIC NIH HHS R01 TW010286NIGMS NIH HHS R01 GM109499
6 · The paper itself

Abstract

The disease ecology community has struggled to come to consensus on whether biodiversity reduces or increases infectious disease risk, a question that directly affects policy decisions for biodiversity conservation and public health. Here, we summarize the primary points of contention regarding biodiversity-disease relationships and suggest that vector-borne, generalist wildlife and zoonotic pathogens are the types of parasites most likely to be affected by changes to biodiversity. One synthesis on this topic revealed a positive correlation between biodiversity and human disease burden across countries, but as biodiversity changed over time within these countries, this correlation became weaker and more variable. Another synthesis-a meta-analysis of generally smaller-scale experimental and field studies-revealed a negative correlation between biodiversity and infectious diseases (a dilution effect) in various host taxa. These results raise the question of whether biodiversity-disease relationships are more negative at smaller spatial scales. If so, biodiversity conservation at the appropriate scales might prevent wildlife and zoonotic diseases from increasing in prevalence or becoming problematic (general proactive approaches). Further, protecting natural areas from human incursion should reduce zoonotic disease spillover. By contrast, for some infectious diseases, managing particular species or habitats and targeted biomedical approaches (targeted reactive approaches) might outperform biodiversity conservation as a tool for disease control. Importantly, biodiversity conservation and management need to be considered alongside other disease management options. These suggested guiding principles should provide common ground that can enhance scientific and policy clarity for those interested in simultaneously improving wildlife and human health.

Indexed as

BiodiversityCommunicable DiseasesEcosystemAnimalsAnimals, WildHumansMeta-Analysis as TopicRiskZoonoses

Identifiers

PMID31819238
PMCPMC7224049

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.