Evidence map›Paper›PMID 34784349›Full record

ArticlePLoS biology2021

The economics of managing evolution.

Troy Day, David A Kennedy, Andrew F Read, David McAdams

Abstract read
In one paragraph

Article in PLoS biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. The socio-economic challenges of managing pathogen evolution in agriculture.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
  4. Article
  5. Article
  6. 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

4 authors.

Troy DayDepartment of Mathematics and Statistics, Queen's University, Kingston, Canada.ORCID 0000-0002-1052-6140
David A KennedyCenter for Infectious Disease Dynamics, Department of Biology, The Pennsylvania State University, State College, Pennsylvania, United States of America.ORCID 0000-0003-0820-115X
Andrew F ReadCenter for Infectious Disease Dynamics, Department of Biology, The Pennsylvania State University, State College, Pennsylvania, United States of America.
David McAdamsFuqua School of Business, Duke University, Durham, North Carolina, United States of America.ORCID 0000-0003-0997-3071

Funding

US-UK Collab: The consequences of transmissible vaccines on disease ecology and pathogen evolution: Marek's disease virus as a case studyR01GM140459 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI KENNEDY, DAVID · 2020 to 2024
$1.7M
Vaccines as drivers of disease emergence: transmission ecology and virulence evolR01GM105244 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI READ, ANDREW F. · 2012 to 2016
$1.2M
NIGMS NIH HHS R01 GM105244NIGMS NIH HHS R01 GM140459
6 · The paper itself

Abstract

Humans are altering biological systems at unprecedented rates, and these alterations often have longer-term evolutionary impacts. Most obvious is the spread of resistance to pesticides and antibiotics. There are a wide variety of management strategies available to slow this evolution, and there are many reasons for using them. In this paper, we focus on the economic aspects of evolution management and ask: When is it economically beneficial for an individual decision-maker to invest in evolution management? We derive a simple dimensionless inequality showing that it is cost-effective to manage evolution when the percentage increase in the effective life span of the biological resource that management generates is larger than the percentage increase in annual profit that could be obtained by not managing evolution. We show how this inequality can be used to determine optimal investment choices for single decision-makers, to determine Nash equilibrium investment choices for multiple interacting decision-makers, and to examine how these equilibrium choices respond to regulatory interventions aimed at stimulating investment in evolution management. Our results are illustrated with examples involving Bacillus thuringiensis (Bt) crops and antibiotic use in fish farming.

Indexed as

Biological EvolutionBacillus thuringiensisModels, BiologicalPlants, Genetically ModifiedZea mays

Identifiers

PMID34784349
PMCPMC8594813

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.