Evidence map›Paper›PMID 33388620›Full record

ArticleSocial science & medicine (1982)2021

COVID-19 does not stop at open borders: Spatial contagion among local authority districts during England's first wave.

Denise Laroze, Eric Neumayer, Thomas Plümper

Abstract read
In one paragraph

Article in Social science & medicine (1982), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. A Bayesian mixture model for Poisson network autoregression.Social network analysis and mining · 2025
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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

3 authors.

Denise LarozeCentre for Experimental Social Sciences and Department of Management, Universidad de Santiago de Chile, Santiago, Chile. Electronic address: denise.laroze@usach.cl.
Eric NeumayerDepartment of Geography & Environment, London School of Economics and Political Science (LSE), London, UK. Electronic address: e.neumayer@lse.ac.uk.
Thomas PlümperDepartment of Socioeconomics, Vienna University of Economics and Business, Vienna, Austria. Electronic address: pluemper@gmx.at.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infectious diseases generate spatial dependence or contagion not only between individuals but also between geographical units. New infections in one local district do not just depend on properties of the district, but also on the strength of social ties of its population with populations in other districts and their own degree of infectiousness. We show that SARS-CoV-2 infections during the first wave of the pandemic spread across district borders in England as a function of pre-crisis commute to work streams between districts. Crucially, the strength of this spatial contagion depends on the phase of the epidemic. In the first pre-lockdown phase, the spread of the virus across district borders is high. During the lockdown period, the cross-border spread of new infections slows down significantly. Spatial contagion increases again after the lockdown is eased but not statistically significantly so.

Indexed as

COVID-19PandemicsEnglandHumansSpatial AnalysisCOVID-19English local authority districtsInfectious diseasesLockdownPandemicSARS-CoV-2Spatial contagionSpatial dependence

Identifiers

PMID33388620
PMCPMC7759448

What Socratic 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 Socratic graph.