Evidence map›Paper›PMID 36568324›Full record

ArticleUrban climate2021

The impact of stay-at-home orders on air-quality and COVID-19 mortality rate in the United States.

Samain Sabrin, Maryam Karimi, Rouzbeh Nazari, Md Golam Rabbani Fahad, Robert W Peters, Alley Uddin

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Urban climate, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Effectiveness of social distancing measures and lockdowns for reducing transmission of COVID-19 in non-healthcare, community-based settings.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2023
    Pooled it
  2. Review
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

6 authors.

Samain SabrinDepartment of Civil, Construction and Environmental Engineering, University of Alabama at Birmingham (UAB), Birmingham, AL, USA.
Maryam KarimiDepartment of Civil, Construction and Environmental Engineering, University of Alabama at Birmingham (UAB), Birmingham, AL, USA.
Rouzbeh NazariDepartment of Civil, Construction and Environmental Engineering, University of Alabama at Birmingham (UAB), Birmingham, AL, USA.
Md Golam Rabbani FahadDepartment of Civil, Construction and Environmental Engineering, University of Alabama at Birmingham (UAB), Birmingham, AL, USA.
Robert W PetersDepartment of Civil, Construction and Environmental Engineering, University of Alabama at Birmingham (UAB), Birmingham, AL, USA.
Alley UddinDepartment of Civil, Construction and Environmental Engineering, University of Alabama at Birmingham (UAB), Birmingham, AL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the beginning of the pandemic in the U.S., most jurisdictions issued mitigation strategies, such as restricting businesses and population movements. This provided an opportunity to measure any positive implications on air quality and COVID-19 mortality rate during a time of limited social interactions. Four broad categories of stay-at-home orders (for states following the order for at least 40 days, for states with less than 40 days, for states with the advisory order, and the states with no stay-at-home order) were created to analyze change in air quality and mortality rate. Ground-based monitoring data for particulate matter (PM

Indexed as

Air qualityCBSAsCOVID-19 mortalityCriteria air-pollutantsStay-at-home orders

Identifiers

PMID36568324
PMCPMC9764382

What OpenQuestion holds

Textmetadata
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.