Evidence map›Paper›PMID 37575472›Full record

ArticleMedical research archives2023

State Government Policy Responses to the COVID-19 Pandemic in the United States 2020-2022: Concordant Heterogeneity?

James A Koziol, Jan E Schnitzer

Abstract read
In one paragraph

Article in Medical research archives, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
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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

2 authors.

James A KoziolProteogenomics Research Institute for Systems Medicine, La Jolla, California 92037, USA.
Jan E SchnitzerProteogenomics Research Institute for Systems Medicine, La Jolla, California 92037, USA.

Funding

Targeting TGF-b Inhibitors and PPAR-y Agonists To Enhance IPF TherapyP01HL119165 · NHLBI · PROTEOGENOMICS RESEARCH INSTIT/SYS/ MED · PI HAGOOD, JAMES S. · 2015 to 2019
$13.6M
Tumor Imaging CoreP01CA221775 · NCI · PROTEOGENOMICS RESEARCH INSTIT/SYS/ MED · PI SCHNITZER, JAN EUGENIUSZ · 2019 to 2023
$13.2M
NCI NIH HHS P01 CA221775NHLBI NIH HHS P01 HL119165
6 · The paper itself

Abstract

Objectives: We investigate governmental responses to the COVID-19 pandemic on a statewide basis between January 2020 and June 2022, together with mortality rates attributable to COVID-19 over the same period. Our aim is to demarcate the states' responses, and examine whether these differential responses are associated with COVID-19 mortality. Methods: Our study is based on individual state data from the Oxford COVID-19 Government Response Tracker, OxCGRT. We focus on the Government Response Index, the most comprehensive index tracked in the OxCGRT dataset. We use multivariate techniques to group the states into clusters relative to their similarities on the Government Response Index, and determine mortality rates attributable to COVID-19 in the individual groups. Results: We find that the Government Response Index was sustained at relatively constant levels in the states, with two major transition periods: a rapid rise in stringency during April through June of 2020, and a gradual decline in May and June of 2021. Heterogeneity in the Government Response Index dramatically increased in 2022. No consistent patterns emerge when relating government stringency measures with COVID-19 mortality rates. Conclusions: There is inconsistent evidence that increased governmental stringency is associated with lower COVID-19 mortality; judicious selection of time frames can lead to contrasting inferences. Political trends and motivations appear to have an outsized influence on governmental responses to the COVID-19 public health crisis, to the detriment of the populace.

Indexed as

COVID-19 mortalitygovernmental interventionpublic health policy

Identifiers

PMID37575472
PMCPMC10421646

What OpenQuestion holds

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LicenceCC BY
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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.