Evidence map›Paper›PMID 32587845›Full record

ArticleFrontiers in public health2020

Transitioning Out of the Coronavirus Lockdown: A Framework for Evaluating Zone-Based Social Distancing.

Eric Friedman, John Friedman, Simon Johnson, Adam Landsberg

Abstract read
In one paragraph

Article in Frontiers in public health, 2020. 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.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
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.

Eric FriedmanInternational Computer Science Institute and Department of IEOR, University of California, Berkeley, Berkeley, CA, United States.
John FriedmanCOVID-19 Policy Alliance, Cambridge, MA, United States.
Simon JohnsonCOVID-19 Policy Alliance, Cambridge, MA, United States.
Adam LandsbergCOVID-19 Policy Alliance, Cambridge, MA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the face of elevated pandemic risk, canonical epidemiological models imply the need for extreme social distancing over a prolonged period. Alternatively, people could be organized into zones, with more interactions inside their zone than across zones. Zones can deliver significantly lower infection rates, with less social distancing, particularly if combined with simple quarantine rules and contact tracing. This paper provides a framework for understanding and evaluating the implications of zones, quarantines, and other complementary policies.

Indexed as

Contact TracingPhysical DistancingQuarantineBasic Reproduction NumberCommunicable Disease ControlCOVID-19Global HealthHumansModels, StatisticalSARS-CoV-2covid-19networksreproductive numberSIR (Susceptible Infected-Recovered) modelsocial distancing measureszones

Identifiers

PMID32587845
PMCPMC7298272

What OpenQuestion holds

Textmetadata
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.