Evidence map›Paper›PMID 34426496›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

Using time-use diaries to track changing behavior across successive stages of COVID-19 social restrictions.

Oriel Sullivan, Jonathan Gershuny, Almudena Sevilla, Francesca Foliano, Margarita Vega-Rapun, Juana Lamote de Grignon, Teresa Harms, Pierre Walthéry

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

8 authors.

Oriel SullivanEconomic and Social Research Council Centre for Time Use Research, Social Research Institute, University College London, London WC1H 0AL, United Kingdom o.sullivan@ucl.ac.uk.ORCID 0000-0002-0995-5888
Jonathan GershunyEconomic and Social Research Council Centre for Time Use Research, Social Research Institute, University College London, London WC1H 0AL, United Kingdom.ORCID 0000-0001-5011-0257
Almudena SevillaEconomic and Social Research Council Centre for Time Use Research, Social Research Institute, University College London, London WC1H 0AL, United Kingdom.ORCID 0000-0001-6143-5903
Francesca FolianoEconomic and Social Research Council Centre for Time Use Research, Social Research Institute, University College London, London WC1H 0AL, United Kingdom.ORCID 0000-0003-0145-3434
Margarita Vega-RapunEconomic and Social Research Council Centre for Time Use Research, Social Research Institute, University College London, London WC1H 0AL, United Kingdom.ORCID 0000-0003-4645-1694
Juana Lamote de GrignonEconomic and Social Research Council Centre for Time Use Research, Social Research Institute, University College London, London WC1H 0AL, United Kingdom.
Teresa HarmsEconomic and Social Research Council Centre for Time Use Research, Social Research Institute, University College London, London WC1H 0AL, United Kingdom.
Pierre WalthéryEconomic and Social Research Council Centre for Time Use Research, Social Research Institute, University College London, London WC1H 0AL, United Kingdom.

Funding

European Research Council
6 · The paper itself

Abstract

How did people change their behavior over the different phases of the UK COVID-19 restrictions, and how did these changes affect their risk of being exposed to infection? Time-use diary surveys are unique in providing a complete chronicle of daily behavior: 24-h continuous records of the populations' activities, their social context, and their location. We present results from four such surveys, collected in real time from representative UK samples, both before and at three points over the course of the current pandemic. Comparing across the four waves, we find evidence of substantial changes in the UK population's behavior relating to activities, locations, and social context. We assign different levels of risk to combinations of activities, locations, and copresence to compare risk-related behavior across successive "lockdowns." We find evidence that during the second lockdown (November 2020), there was an increase in high-risk behaviors relative to the first (starting March 2020). This increase is shown to be associated with more paid work time in the workplace. At a time when capacity is still limited both in respect of immunization and track-trace technology, governments must continue to rely on changes in people's daily behaviors to contain the spread of COVID-19 and similar viruses. Time-use diary information of this type, collected in real time across the course of the COVID-19 pandemic, can provide policy makers with information to assess and quantify changes in daily behaviors and the impact they are likely to have on overall behavioral-associated risks.

Indexed as

SARS-CoV-2Social BehaviorCOVID-19HumansPublic Health SurveillanceUnited Kingdombehavioral responses to COVID-19time-use diary surveyUK COVID-19 regulations changes

Identifiers

PMID34426496
PMCPMC8536333

What OpenQuestion holds

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Registered trials

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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.