Evidence map›Paper›PMID 36497805›Full record

ArticleInternational journal of environmental research and public health2022

Social Behavior and COVID-19: Analysis of the Social Factors behind Compliance with Interventions across the United States.

Morteza Maleki, Mohsen Bahrami, Monica Menendez, Jose Balsa-Barreiro

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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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

4 authors.

Morteza MalekiSchool of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.ORCID 0000-0002-6411-2103
Mohsen BahramiInstitute for Data, Systems, and Society, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA.ORCID 0000-0002-6665-3640
Monica MenendezDivision of Engineering, New York University Abu Dhabi, Saadiyat Island P.O. Box 129188, United Arab Emirates.ORCID 0000-0001-5701-0523
Jose Balsa-BarreiroDivision of Engineering, New York University Abu Dhabi, Saadiyat Island P.O. Box 129188, United Arab Emirates.ORCID 0000-0001-7348-4198

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since its emergence, COVID-19 has caused a great impact in health and social terms. Governments and health authorities have attempted to minimize this impact by enforcing different mandates. Recent studies have addressed the relationship between various socioeconomic variables and compliance level to these interventions. However, little attention has been paid to what constitutes people's response and whether people behave differently when faced with different interventions. Data collected from different sources show very significant regional differences across the United States. In this paper, we attempt to shed light on the fact that a response may be different depending on the health system capacity and each individuals' social status. For that, we analyze the correlation between different societal (i.e., education, income levels, population density, etc.) and healthcare capacity-related variables (i.e., hospital occupancy rates, percentage of essential workers, etc.) in relation to people's level of compliance with three main governmental mandates in the United States: mobility restrictions, mask adoption, and vaccine participation. Our aim was to isolate the most influential variables impacting behavior in response to these policies. We found that there was a significant relationship between individuals' educational levels and political preferences with respect to compliance with each of these mandates.

Indexed as

COVID-19GovernmentHumansPopulation DensitySocial BehaviorSocial FactorsUnited Statesbehavioral analysisCOVID-19governmental interventionmask adoptionmovement changenon-pharmaceutical interventionspolicy recommendationssocial behaviorsocial contextvaccine participation

Identifiers

PMID36497805
PMCPMC9740774

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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.