Evidence map›Paper›PMID 38455291›Full record

ArticleFrontiers in epidemiology2022

COVID-19 in the U.S. during pre-vaccination period: Shifting impact of sociodemographic factors and air pollution.

Chaya Chaipitakporn, Prashant Athavale, Vijay Kumar, Thevasha Sathiyakumar, Marko Budišić, Shantanu Sur, Sumona Mondal

Abstract read
In one paragraph

Article in Frontiers in epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Chaya ChaipitakpornDavid D. Reh School of Business, Clarkson University, Potsdam, NY, United States.
Prashant AthavaleDepartment of Mathematics, Clarkson University, Potsdam, NY, United States.
Vijay KumarDepartment of Mathematics, Clarkson University, Potsdam, NY, United States.
Thevasha SathiyakumarDepartment of Mathematics, Clarkson University, Potsdam, NY, United States.
Marko BudišićDepartment of Mathematics, Clarkson University, Potsdam, NY, United States.
Shantanu SurDepartment of Biology, Clarkson University, Potsdam, NY, United States.
Sumona MondalDepartment of Mathematics, Clarkson University, Potsdam, NY, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pandemic "wave" usually refers to the rise and fall of the infections with time, however, for a large country, the variations due to geographical location could be considerable. In this work, we investigated COVID-19 infection and fatality across the U.S. during the pandemic waves in the pre-vaccination period (January 2020-December 2020). Focusing on counties with a population ≥100,000, the data from the entire period were first segmented into two equal phases roughly corresponding to the first pandemic wave and subsequent surge, and each phase was further divided into two zones based on infection rate. We studied the potential influences of six sociodemographic variables (population density, age, poverty, education, and percentage of Hispanic and African American population) and four air pollutants (PM

Indexed as

air pollutantsCOVID-19educationethnicityfatalityHispanicinfection

Identifiers

PMID38455291
PMCPMC10910972

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.