Evidence map›Paper›PMID 39591437›Full record

ArticlePLOS global public health2024

Mobility changes following COVID-19 stay-at-home policies varied by socioeconomic measures: An observational study in Ontario, Canada.

Siyi Wang, Linwei Wang, Stefan D Baral, Gary Moloney, Jaimie Johns, Carmen Huber, Jaydeep Mistry, Kamran Khan, Amrita Rao, Naveed Janjua and 6 more

Abstract read
In one paragraph

Article in PLOS global public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

16 authors.

Siyi WangMAP-Centre for Urban Health Solutions, St. Michael's Hospital, Toronto, Canada.ORCID https://orcid.org/0000-0002-6460-2022
Linwei WangMAP-Centre for Urban Health Solutions, St. Michael's Hospital, Toronto, Canada.
Stefan D BaralDepartment of Epidemiology, Johns Hopkins University, Baltimore, Maryland, United States of America.
Gary MoloneyMAP-Centre for Urban Health Solutions, St. Michael's Hospital, Toronto, Canada.ORCID https://orcid.org/0000-0002-3080-7724
Jaimie JohnsBlueDot, Toronto, Canada.ORCID https://orcid.org/0009-0007-6045-6754
Carmen HuberBlueDot, Toronto, Canada.ORCID https://orcid.org/0000-0002-3744-4663
Jaydeep MistryBlueDot, Toronto, Canada.
Kamran KhanMAP-Centre for Urban Health Solutions, St. Michael's Hospital, Toronto, Canada.
Amrita RaoDepartment of Epidemiology, Johns Hopkins University, Baltimore, Maryland, United States of America.
Naveed JanjuaBritish Columbia Centre for Disease Control, Vancouver, Canada.
Tyler WilliamsonDepartment of Community Health Sciences, University of Calgary, Calgary, Canada.
Alan KatzMax Rady College of Medicine, University of Manitoba, Winnipeg, Canada.ORCID https://orcid.org/0000-0001-8280-7024
Huiting MaMAP-Centre for Urban Health Solutions, St. Michael's Hospital, Toronto, Canada.
Mathieu Maheu-GirouxDepartment of Epidemiology and Biostatistics, McGill University, Montréal, Canada.ORCID https://orcid.org/0000-0002-8363-4388
Rafal KustraDalla Lana School of Public Health, University of Toronto, Toronto, Canada.
Sharmistha MishraMAP-Centre for Urban Health Solutions, St. Michael's Hospital, Toronto, Canada.ORCID https://orcid.org/0000-0001-8492-5470

Funding

Program and implementation context of a housing support initiative to address homelessness and improve HIV service uptake among youth in the United StatesK01MD020002 · NIMHD · JOHNS HOPKINS UNIVERSITY · PI Amrita Rao · 2024 to 2026
$381k
NIMHD NIH HHS K01 MD020002
6 · The paper itself

Abstract

In Canada, lower income households and essential workers were disproportionately at risk of SARS-CoV-2. Early in the pandemic, stay-at-home restriction policies were used to limit virus transmission. There remains an evidence gap in how changes in mobility, in response to the policies, varied across socioeconomic measures in Canada. The study objective was to describe the variability in mobility change to two restrictions, by neighborhood-level income and by proportion essential workers across five regions in Ontario, Canada. The first restriction was implemented on March 17, 2020 in all five regions; and the second restriction was implemented in November 23, 2020 in two of the regions. Using cell-phone mobility data aggregated to the census tract, we compared the average mobility (% of devices that travelled outside their "primary location") three weeks before and after each restriction. We defined the adjusted mobility change via pre-restriction mobility subtracted from post-restriction, adjusted for 2019 levels. We used difference-in-differences analysis to quantify effect modification of the second restriction's effect by socioeconomic measures. With the first restriction, crude mobility fell from 77.7% to 41.6% across the five regions. The adjusted mobility change to the first restriction was largest in the highest-income neighborhoods (-43.3% versus -38.4%) and in neighborhoods with the fewest essential workers (-44.5% versus -37.6%). The overall adjusted mobility change to the second restriction was small: -0.96% (95% confidence intervals, -1.53 to -0.38%). However, there was evidence of effect modification by socioeconomic measures (less pronounced decrease in lower-income neighborhoods and more essential workers). The findings suggest a temporal saturation effect of restrictions over subsequent waves, and a saturation effect by income and occupation, leading to prevention gaps across populations by socioeconomic measures. Findings highlight the need for tailored approaches at the intersections of income and occupation when addressing epidemics of novel and resurging respiratory pathogens.

Identifiers

PMID39591437
PMCPMC11594434

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LicenceCC BY
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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.