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Predictors of Self-Reported Compliance with Covid-19 Preventive Guidelines

A Quantile Regression Model

Bibliographic Data

ID21834890
AuthorsMaryam Khoramrooz (0000-0002-8803-2458, Shahroud University of Medical Sciences), Roqayeh Aliyari (0000-0003-0627-585X, Shahroud University of Medical Sciences), Seyedmohammad Mirhosseini (0000-0002-2087-0164, Iranshahr University), Salman Daliri (0000-0001-5773-5751, Imam Hossein Hospital), Seyed Mohammad Mirrezaie (0000-0001-5352-4244, Shahroud University of Medical Sciences, corresponding author)
Year2022
Volume37
Issue7
Pages643-654
Publication date2022-10-03
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueSocial Work in Public Health (JOURNAL)
Journal identifiersISSN: 1937-190X • E-ISSN: 1937-1918
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/19371918.2022.2071372
PMID35484901
OpenAlexW4225141067
LanguageEN
Citations received1
References cited51

The research used an online, convenience cross-sectional sample of adults aged ≥18 years old recruited from Shahroud County, Northeast of Iran. We measured the contribution of multiple determinants for association with behavioral compliance, at the time of the COVID-19 pandemic. The compliance score measured with this questionnaire can be within a range of 5 and 100. Compliance was bounded between 19 and 80 that has been distributed J-shape, so quantile logistic regression model has been fitted for that. Variables related to people's knowledge, including self-reported knowledge and following the news related to COVID-19, were the two main factors that accompanied behavioral compliance at all of its levels in the period of pandemic

2019-20 coronavirus outbreak · Environmental health · Outbreak · Quantile · Quantile regression · Regression analysis · Statistics · Food Security and Health in Diverse Populations · Mathematics · Medicine · Psychology · Public Health Policies and Education · Risk Perception and Management · Social Psychology · Internal Medicine · Virology

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Unique citing works1
Citations per year0,33
Citation span2023 - 2023 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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