Evidence map›Paper›PMID 33898726›Full record

ArticleSSM - population health2021

Linking excess mortality to mobility data during the first wave of COVID-19 in England and Wales.

Ugofilippo Basellini, Diego Alburez-Gutierrez, Emanuele Del Fava, Daniela Perrotta, Marco Bonetti, Carlo G Camarda, Emilio Zagheni

Open access · goldAbstract read
In one paragraph

Article in SSM - population health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

29 citing papers in PubMed, 61 citations in OpenAlex.

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  13. Can the Content of Social Networks Explain Epidemic Outbreaks?Population research and policy review · 2023
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  20. COVID-19 to go? The role of disasters and evacuation in the COVID-19 pandemic.Global environmental change : human and policy dimensions · 2022
    Article
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 at 3 institutions in 3 countries.

Ugofilippo BaselliniMax Planck Institute for Demographic Research (MPIDR), Rostock, Germany.
Diego Alburez-GutierrezMax Planck Institute for Demographic Research (MPIDR), Rostock, Germany.
Emanuele Del FavaMax Planck Institute for Demographic Research (MPIDR), Rostock, Germany.
Daniela PerrottaMax Planck Institute for Demographic Research (MPIDR), Rostock, Germany.
Marco BonettiCarlo F. Dondena Centre & Covid Crisis Lab, Bocconi University, Milan, Italy.
Carlo G CamardaInstitut National D'études Démographiques (INED), Aubervilliers, France.
Emilio ZagheniMax Planck Institute for Demographic Research (MPIDR), Rostock, Germany.
Max Planck Institute for Demographic Research · DEInstitut national d'études démographiques · FRBocconi University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-pharmaceutical interventions have been implemented worldwide to curb the spread of COVID-19. However, the effectiveness of such governmental measures in reducing the mortality burden remains a key question of scientific interest and public debate. In this study, we leverage digital mobility data to assess the effects of reduced human mobility on excess mortality, focusing on regional data in England and Wales between February and August 2020. We estimate a robust association between mobility reductions and lower excess mortality, after adjusting for time trends and regional differences in a mixed-effects regression framework and considering a five-week lag between the two measures. We predict that, in the absence of mobility reductions, the number of excess deaths could have more than doubled in England and Wales during this period, especially in the London area. The study is one of the first attempts to quantify the effects of mobility reductions on excess mortality during the COVID-19 pandemic.

Indexed as

Digital trace dataHuman mobilityNon-pharmaceutical interventionsSARS-CoV-2

Identifiers

PMID33898726
PMCPMC8058100
OpenAlexW3152591339

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.