Evidence map›Paper›PMID 34799474›Full record

ArticleEpidemiology (Cambridge, Mass.)2022

The Impact of Keeping Indoor Dining Closed on COVID-19 Rates Among Large US Cities: A Quasi-Experimental Design.

Alina S Schnake-Mahl, Gabriella O'Leary, Pricila H Mullachery, Vaishnavi Vaidya, Gabrielle Connor, Heather Rollins, Jennifer Kolker, Ana V Diez Roux, Usama Bilal

Abstract readVideo-Audio Media
In one paragraph

Article in Epidemiology (Cambridge, Mass.), 2022. 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.

  1. Review
  2. Review
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  9. Indoor Dining and In-Person Learning: A Comparison of 30 US Cities.International journal of environmental research and public health · 2021
    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

9 authors.

Alina S Schnake-MahlFrom the Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA.
Gabriella O'LearyFrom the Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA.
Pricila H MullacheryFrom the Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA.
Vaishnavi VaidyaFrom the Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA.
Gabrielle ConnorDepartment of Health Management and Policy, Dornsife School of Public Health, Drexel University, Philadelphia, PA.
Heather RollinsFrom the Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA.
Jennifer KolkerFrom the Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA.
Ana V Diez RouxFrom the Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA.
Usama BilalFrom the Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA.

Funding

The Health Consequences of Urban ScalingDP5OD026429 · OD · DREXEL UNIVERSITY · PI BILAL, USAMA · 2018 to 2022
$2.7M
NIH HHS DP5 OD026429
6 · The paper itself

Abstract

backgroundIndoor dining is one of the potential drivers of COVID-19 transmission. We used the heterogeneity among state government preemption of city indoor dining closures to estimate the impact of keeping indoor dining closed on COVID-19 incidence.

methodsWe obtained case rates and city or state reopening dates from March to October 2020 in 11 US cities. We categorized cities as treatment cities that were allowed by the state to reopen but kept indoor dining closed or comparison cities that would have kept indoor dining closed but that were preempted by their state and had to reopen indoor dining. We modeled associations using a difference-in-difference approach and an event study specification. We ran negative binomial regression models, with city-day as the unit of analysis, city population as an offset, and controlling for time-varying nonpharmaceutical interventions, as well as city and time fixed effects in sensitivity analysis and the event study specification.

resultsKeeping indoor dining closed was associated with a 55% (IRR = 0.45; 95% confidence intervals = 0.21, 0.99) decline in the new COVID-19 case rate over 6 weeks compared with cities that reopened indoor dining, and these results were consistent after testing alternative modeling strategies.

conclusionsKeeping indoor dining closed may be directly or indirectly associated with reductions in COVID-19 spread. Evidence of the relationship between indoor dining and COVID-19 case rates can inform policies to restrict indoor dining as a tailored strategy to reduce COVID-19 incidence. See video abstract at, http://links.lww.com/EDE/B902.

Indexed as

COVID-19CitiesHumansPolicyResearch DesignSARS-CoV-2

Identifiers

PMID34799474
PMCPMC8810740

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.