Evidence map›Paper›PMID 32947252›Full record

ArticlePublic health2020

Political partisanship and mobility restriction during the COVID-19 pandemic.

D Hsiehchen, M Espinoza, P Slovic

Open access · greenAbstract read
In one paragraph

Article in Public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 10% of its field
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

30 citing papers in PubMed, 2 syntheses or guidelines pooled it, 67 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
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  6. Article
  7. Impact of COVID-19 Pandemic on Daily Mobility of the Elderly Living in Small Cities in Lodz Province.International journal of environmental research and public health · 2023
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  8. Observational
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  11. Review
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  17. Socio-Cultural Values Are Risk Factors for COVID-19-Related Mortality.Cross-cultural research : official journal of the Society for Cross-Cultural Research · 2022
    Article
  18. Article
  19. Percolation of temporal hierarchical mobility networks during COVID-19.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2022
    Article
  20. 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

3 authors at 2 institutions in 1 country.

D HsiehchenDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA. Electronic address: gbtwnow@gmail.com.
M EspinozaDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA.
P SlovicDepartment of Psychology, University of Oregon, Eugene, OR, 97403, USA; Decision Research, Eugene, Or, 97401, USA.
The University of Texas Southwestern Medical Center · USDecision Research · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesNon-pharmaceutical interventions (NPIs) are effective in curbing the spread of severe acute respiratory syndrome coronavirus 2. All US states have adopted NPI policies, but the compliance to these measures and influence of sociopolitical factors on NPI adherence is unknown. NPI adherence may be approximated by personal mobility in a population that is tracked by anonymous mobile phone data. STUDY

designThis is a cross-sectional study of state-level mobility changes across the US.

methodsState-level mobility was based on anonymous mobile phone data from multiple participating carriers collected by the University of Washington's Institute for Health Metrics and Evaluation (http://www.healthdata.org). Pearson's correlation coefficient was used to examine the strength and direction of the relationship between political affiliations and mobility restriction across states. Multivariable linear regression analyses were used to assess other factors that may impact personal travel.

resultsAll states experienced a decline in personal mobility but had varying nadirs ranging from a 34% to a 69% reduction in mobility, which was not temporally related to the timing of state-level NPI measures. There was a statistically significant linear and negative correlation (r = -0.79) between the proportion of Republicans/leaning Republicans and NPI adherence across US states. The negative association between Republicans and NPI adherence was significant even when adjusting for urbanization, proportion of essential workers, population, Gini index, and poverty rates.

conclusionsPolitical orientation affects risk perception, which may contribute to the unwillingness of some individuals to perceive the coronavirus disease 2019 pandemic as a risk and to comply with NPIs. Our results highlight the importance of sociopolitical factors in disease control and emphasize the importance of bipartisan efforts in fighting the pandemic. These results may have implications for the development, dissemination, and communication of public health policies.

Indexed as

PoliticsCoronavirus InfectionsCOVID-19Cross-Sectional StudiesGuideline AdherenceHumansPandemicsPneumonia, ViralRisk AssessmentTravelUnited StatesComplianceCOVID-19Non-pharmaceutical interventionsPartisanshipRisk perception

Identifiers

PMID32947252
PMCPMC7437478
OpenAlexW3049073980

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.