Evidence map›Paper›PMID 35680843›Full record

ArticleNature communications2022

Disease-economy trade-offs under alternative epidemic control strategies.

Thomas Ash, Antonio M Bento, Daniel Kaffine, Akhil Rao, Ana I Bento

Erratum issuedAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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  13. Stabilizing the return to normal behavior in an epidemic.medRxiv : the preprint server for health sciences · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Thomas AshDepartment of Economics, University of Southern California, Los Angeles, CA, 90007, USA.
Antonio M BentoDepartment of Economics, University of Southern California, Los Angeles, CA, 90007, USA. abento@usc.edu.
Daniel KaffineDepartment of Economics, University of Colorado Boulder, Boulder, CO, USA.ORCID 0000-0002-9556-7776
Akhil RaoDepartment of Economics, Middlebury College, Middlebury, VT, USA.
Ana I BentoDepartment of Epidemiology & Biostatistics, School of Public Health, Indiana University, Bloomington, IN, USA. abento@iu.edu.ORCID 0000-0001-7728-007X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Public policy and academic debates regarding pandemic control strategies note disease-economy trade-offs, often prioritizing one outcome over the other. Using a calibrated, coupled epi-economic model of individual behavior embedded within the broader economy during a novel epidemic, we show that targeted isolation strategies can avert up to 91% of economic losses relative to voluntary isolation strategies. Unlike widely-used blanket lockdowns, economic savings of targeted isolation do not impose additional disease burdens, avoiding disease-economy trade-offs. Targeted isolation achieves this by addressing the fundamental coordination failure between infectious and susceptible individuals that drives the recession. Importantly, we show testing and compliance frictions can erode some of the gains from targeted isolation, but improving test quality unlocks the majority of the benefits of targeted isolation.

Indexed as

PandemicsPublic PolicyHumansIncome

Identifiers

PMID35680843
PMCPMC9178341

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.