Evidence map›Paper›PMID 28963686›Full record

ArticleEcoHealth2018

Economic Incentives in the Socially Optimal Management of Infectious Disease: When [Formula: see text] is Not Enough.

B R Morin, A P Kinzig, S A Levin, C A Perrings

Abstract read
In one paragraph

Article in EcoHealth, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Perspectives on the role of mobility, behavior, and time scales in the spread of diseases.Proceedings of the National Academy of Sciences of the United States of America · 2016
    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.

B R MorinMathematics and Statistics Department, Vassar College, 124 Raymond Avenue, Box 257, Poughkeepsie, NY, 12604-0257, USA. bmorin@vassar.edu.
A P KinzigSchool of Life Sciences, Arizona State University, PO Box 4501, Tempe, AZ, 85287, USA.
S A LevinDepartment of Ecology and Evolutionary Biology, Princeton University, 106A Guyot Hall, Princeton, NJ, 08544-1003, USA.
C A PerringsSchool of Life Sciences, Arizona State University, PO Box 4501, Tempe, AZ, 85287, USA.

Funding

Modeling Anthropogenic Effects in the Spread of Infectious DiseasesR01GM100471 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI PERRINGS, CHARLES · 2011 to 2014
$1.5M
NIGMS NIH HHS 1R01GM100471-01NIGMS NIH HHS R01 GM100471Science and Technology Directorate HSHQDC-12-C-00058
6 · The paper itself

Abstract

Does society benefit from encouraging or discouraging private infectious disease-risk mitigation? Private individuals routinely mitigate infectious disease risks through the adoption of a range of precautions, from vaccination to changes in their contact with others. Such precautions have epidemiological consequences. Private disease-risk mitigation generally reduces both peak prevalence of symptomatic infection and the number of people who fall ill. At the same time, however, it can prolong an epidemic. A reduction in prevalence is socially beneficial. Prolongation of an epidemic is not. We find that for a large class of infectious diseases, private risk mitigation is socially suboptimal-either too low or too high. The social optimum requires either more or less private mitigation. Since private mitigation effort depends on the cost of mitigation and the cost of illness, interventions that change either of these costs may be used to alter mitigation decisions. We model the potential for instruments that affect the cost of illness to yield net social benefits. We find that where a disease is not very infectious or the duration of illness is short, it may be socially optimal to promote private mitigation effort by increasing the cost of illness. By contrast, where a disease is highly infectious or long lasting, it may be optimal to discourage private mitigation by reducing the cost of disease. Society would prefer a shorter, more intense, epidemic to a longer, less intense epidemic. There is, however, a region in parameter space where the relationship is more complicated. For moderately infectious diseases with medium infectious periods, the social optimum depends on interactions between prevalence and duration. Basic reproduction numbers are not sufficient to predict the social optimum.

Indexed as

Decision MakingModels, TheoreticalAnimalsCommunicable Disease ControlCommunicable DiseasesCost-Benefit AnalysisCost of IllnessEconomics, BehavioralHumansModels, EconomicMotivationPatient IsolationPublic HealthRisk AssessmentRisk ManagementSeverity of Illness IndexDisease risk mitigationEconomic incentivesInfectious diseaseSocial optimum

Identifiers

PMID28963686
PMCPMC7087673

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.