Evidence map›Paper›PMID 33273120›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

COVID-19 lockdown induces disease-mitigating structural changes in mobility networks.

Frank Schlosser, Benjamin F Maier, Olivia Jack, David Hinrichs, Adrian Zachariae, Dirk Brockmann

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 164 papers.

0numbers the graph read from it
0cells of the map it votes in
164citing papers in PubMed
10.6field-weighted citation impact, top 1% of its field
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

164 citing papers in PubMed, 400 citations in OpenAlex.

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  8. Uncovering heterogeneous intercommunity disease transmission from neutral allele frequency time series.Proceedings of the National Academy of Sciences of the United States of America · 2025
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104 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Frank SchlosserComputational Epidemiology Group, Robert Koch Institute, D-13353 Berlin, Germany; frank.schlosser@hu-berlin.de.ORCID 0000-0003-1649-4300
Benjamin F MaierComputational Epidemiology Group, Robert Koch Institute, D-13353 Berlin, Germany.ORCID 0000-0001-7414-8823
Olivia JackComputational Epidemiology Group, Robert Koch Institute, D-13353 Berlin, Germany.ORCID 0000-0002-7435-2119
David HinrichsComputational Epidemiology Group, Robert Koch Institute, D-13353 Berlin, Germany.ORCID 0000-0001-8525-5907
Adrian ZachariaeComputational Epidemiology Group, Robert Koch Institute, D-13353 Berlin, Germany.ORCID 0000-0001-9780-4651
Dirk BrockmannComputational Epidemiology Group, Robert Koch Institute, D-13353 Berlin, Germany.ORCID 0000-0001-5708-2922
Robert Koch Institute · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the wake of the COVID-19 pandemic many countries implemented containment measures to reduce disease transmission. Studies using digital data sources show that the mobility of individuals was effectively reduced in multiple countries. However, it remains unclear whether these reductions caused deeper structural changes in mobility networks and how such changes may affect dynamic processes on the network. Here we use movement data of mobile phone users to show that mobility in Germany has not only been reduced considerably: Lockdown measures caused substantial and long-lasting structural changes in the mobility network. We find that long-distance travel was reduced disproportionately strongly. The trimming of long-range network connectivity leads to a more local, clustered network and a moderation of the "small-world" effect. We demonstrate that these structural changes have a considerable effect on epidemic spreading processes by "flattening" the epidemic curve and delaying the spread to geographically distant regions.

Indexed as

PandemicsQuarantineSpatial AnalysisCell PhoneCOVID-19GermanyHumansTravelCOVID-19human mobilitymobile phones

Identifiers

PMID33273120
PMCPMC7776901
OpenAlexW3106991655

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.