Evidence map›Paper›PMID 37224240›Full record

ArticleScience advances2023

Balancing economic and epidemiological interventions in the early stages of pathogen emergence.

Andy Dobson, Cristiano Ricci, Raouf Boucekkine, Fausto Gozzi, Giorgio Fabbri, Ted Loch-Temzelides, Mercedes Pascual

Abstract read
In one paragraph

Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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.

Andy DobsonDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA.ORCID 0000-0002-9678-1694
Cristiano RicciDepartment of Economics and Management, Università di Pisa, Pisa, Italy.ORCID 0000-0003-4889-1474
Raouf BoucekkineCentre for Unframed Thinking, Rennes School of Business, 35000 Rennes, France.ORCID 0000-0002-8601-7115
Fausto GozziDepartment of Economics and Finance, Luiss University, Roma, Italy.ORCID 0000-0003-4755-2841
Giorgio FabbriUniversité Grenoble Alpes, CNRS, INRAE, Grenoble INP, GAEL, 38000 Grenoble, France.ORCID 0000-0003-3316-8929
Ted Loch-TemzelidesDepartment of Economics and Baker Institute for Public Policy, Rice University, 6100 Main St., Houston, TX 77005, USA.ORCID 0000-0001-8339-6722
Mercedes PascualSanta Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501, USA.ORCID 0000-0003-3575-7233

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global pandemic of COVID-19 has underlined the need for more coordinated responses to emergent pathogens. These responses need to balance epidemic control in ways that concomitantly minimize hospitalizations and economic damages. We develop a hybrid economic-epidemiological modeling framework that allows us to examine the interaction between economic and health impacts over the first period of pathogen emergence when lockdown, testing, and isolation are the only means of containing the epidemic. This operational mathematical setting allows us to determine the optimal policy interventions under a variety of scenarios that might prevail in the first period of a large-scale epidemic outbreak. Combining testing with isolation emerges as a more effective policy than lockdowns, substantially reducing deaths and the number of infected hosts, at lower economic cost. If a lockdown is put in place early in the course of the epidemic, it always dominates the "laissez-faire" policy of doing nothing.

Indexed as

COVID-19Communicable Disease ControlDisease OutbreaksHospitalizationHumansPandemics

Identifiers

PMID37224240
PMCPMC10208564

What OpenQuestion holds

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LicenceCC BY-NC
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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.