Evidence map›Paper›PMID 33912968›Full record

ArticleJournal of public health (Oxford, England)2022

Relationship between political partisanship and COVID-19 deaths: future implications for public health.

Hsueh-Fen Chen, Saleema A Karim

Abstract read
In one paragraph

Article in Journal of public health (Oxford, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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  6. Optimal interventions in networks during a pandemic.Journal of population economics · 2023
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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.

Hsueh-Fen ChenDepartment of Healthcare Administration and Medical Informatics, Kaohsiung Medical University, 100, Shih-Chuan 1st Road, Kaohsiung 80708, Taiwan.
Saleema A KarimDepartment of Health Policy and Management, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOVID-19 has impacted more than 200 countries. However in the USA, the response to the COVID-19 pandemic has been politically polarized. The objective of this study is to investigate the association between political partisanship and COVID-19 deaths rates in the USA.

methodsThis study used longitudinal county-level panel data, segmented into 10 30-day time periods, consisting of all counties in the USA, from 22 January 2020 to 5 December 2020. The outcome measure is the total number of COVID-19 deaths per 30-day period. The key explanatory variable is county political partisanship, dichotomized as Democratic or Republican. The analysis used a ZINB regression.

resultsWhen compared with Republican counties, COVID-19 death rates in Democratic counties were significantly higher (IRRs ranged from 2.0 to 18.3, P < 0.001) in Time 1-Time 5, but in Time 9-Time10, were significantly lower (IRRs ranged from 0.43 to 0.69, P < 0.001).

conclusionThe reversed trend in COVID-19 death rates between Democratic and Republican counties was influenced by the political polarized response to the pandemic. The findings support the necessity of evidence-based public health leadership and management in maneuvering the USA out of the current COVID-19 pandemic and prepare for future public health crises.

Indexed as

COVID-19HumansLeadershipPandemicsPoliticsPublic Health

Identifiers

PMID33912968
PMCPMC8135482

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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.