Evidence map›Paper›PMID 33638597›Full record

ArticleEcology letters2021

Quantifying 25 years of disease-caused declines in Tasmanian devil populations: host density drives spatial pathogen spread.

Calum X Cunningham, Sebastien Comte, Hamish McCallum, David G Hamilton, Rodrigo Hamede, Andrew Storfer, Tracey Hollings, Manuel Ruiz-Aravena, Douglas H Kerlin, Barry W Brook and 2 more

Abstract readLetter
In one paragraph

Article in Ecology letters, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

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  18. Intergenomic signatures of coevolution between Tasmanian devils and an infectious cancer.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  19. Article
  20. The devil is in the detail.Nature ecology & evolution · 2024
    Article
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

12 authors.

Calum X CunninghamSchool of Natural Sciences, University of Tasmania, Private Bag 55, Hobart, TAS, 7001, Australia.ORCID https://orcid.org/0000-0003-1640-2533
Sebastien ComteSchool of Natural Sciences, University of Tasmania, Private Bag 55, Hobart, TAS, 7001, Australia.
Hamish McCallumEnvironmental Futures Research Institute and School of Environment and Science, Griffith University, Nathan, Qld, 4111, Australia.
David G HamiltonSchool of Natural Sciences, University of Tasmania, Private Bag 55, Hobart, TAS, 7001, Australia.ORCID https://orcid.org/0000-0001-5883-0136
Rodrigo HamedeSchool of Natural Sciences, University of Tasmania, Private Bag 55, Hobart, TAS, 7001, Australia.
Andrew StorferSchool of Biological Sciences, Washington State University, Pullman, WA, 99164-4236, USA.
Tracey HollingsArthur Rylah Institute for Environmental Research, 123 Brown Street, Heidelberg, Vic., 3084, Australia.
Manuel Ruiz-AravenaDepartment of Microbiology and Immunology, Montana State University, Bozeman, MT, 59717, USA.
Douglas H KerlinEnvironmental Futures Research Institute and School of Environment and Science, Griffith University, Nathan, Qld, 4111, Australia.
Barry W BrookSchool of Natural Sciences, University of Tasmania, Private Bag 55, Hobart, TAS, 7001, Australia.ORCID https://orcid.org/0000-0002-2491-1517
Greg HockingGame Services Tasmania, Tasmanian Department of Primary Industries, Parks, Water and Environment, TAS, PO Box 44, Hobart, 7001, Australia.
Manna E JonesSchool of Natural Sciences, University of Tasmania, Private Bag 55, Hobart, TAS, 7001, Australia.

Funding

Evolution of cancer transmissionR01GM126563 · NIGMS · WASHINGTON STATE UNIVERSITY · PI STORFER, ANDREW T · 2017 to 2020
$2.3M
Australian Academy of SciencesAustralian Research Council 170101116Australian Research Council A00000162Australian Research Council DP110102656Australian Research Council FT100100250Australian Research Council LP0561120Australian Research Council LP0989613Australian Research Council LP170101105Eric Guiler GrantsEstate of WV ScottHolsworth Wildlife Research EndowmentIan Potter FoundationMohammed bin Zayed Species Conservation FundNational Geographic SocietyNational Institute of Health R01-GM126563-01National Science Foundation DEB 1316549NIGMS NIH HHS R01 GM126563NIH-NSF-USDASave the Tasmanian Devil AppealThe Estate of the late Nancy FrederiksenThe Estate of the late Pauline Barnett
6 · The paper itself

Abstract

Infectious diseases are strong drivers of wildlife population dynamics, however, empirical analyses from the early stages of pathogen emergence are rare. Tasmanian devil facial tumour disease (DFTD), discovered in 1996, provides the opportunity to study an epizootic from its inception. We use a pattern-oriented diffusion simulation to model the spatial spread of DFTD across the species' range and quantify population effects by jointly modelling multiple streams of data spanning 35 years. We estimate the wild devil population peaked at 53 000 in 1996, less than half of previous estimates. DFTD spread rapidly through high-density areas, with spread velocity slowing in areas of low host densities. By 2020, DFTD occupied >90% of the species' range, causing 82% declines in local densities and reducing the total population to 16 900. Encouragingly, our model forecasts the population decline should level-off within the next decade, supporting conservation management focused on facilitating evolution of resistance and tolerance.

Indexed as

Communicable DiseasesFacial NeoplasmsMarsupialiaAnimalsPopulation DynamicsApproximate Bayesian Computationdensity dependencedevil facial tumour diseasedisease spreademerging infectious diseasehost-pathogenintegrated species distribution modelSarcophilus harrisiispatial capture-recapturewildlife disease

Identifiers

PMID33638597
PMCPMC9844790

What OpenQuestion holds

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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.