Cargando…

Health behaviors and the risk of COVID-19 incidence: A Bayesian hierarchical spatial analysis

OBJECTIVES: Effective infection control measures, based on a sound understanding of geographical community-specific health behavioral characteristics, should be implemented from the early stage of disease transmission. However, few studies have explored health behaviors as a possible contributor to...

Descripción completa

Detalles Bibliográficos
Autores principales:	Kim, Jeehyun, Yoo, Daesung, Hong, Kwan, Chun, Byung Chul
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	The Author(s). Published by Elsevier Ltd on behalf of King Saud Bin Abdulaziz University for Health Sciences. 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9773785/ https://www.ncbi.nlm.nih.gov/pubmed/36580692 http://dx.doi.org/10.1016/j.jiph.2022.12.013

Ejemplares similares

Epidemiology and Regional Predictors of COVID-19 Clusters: A Bayesian Spatial Analysis Through a Nationwide Contact Tracing Data
por: Hong, Kwan, et al.
Publicado: (2021)

Spatiotemporal clusters of Kawasaki disease in South Korea from 2008 to 2017: A municipal-level ecological study
por: Kim, Jeehyun, et al.
Publicado: (2023)

Risk Prediction of Three Different Subtypes of Highly Pathogenic Avian Influenza Outbreaks in Poultry Farms: Based on Spatial Characteristics of Infected Premises in South Korea
por: Yoo, Dae-sung, et al.
Publicado: (2022)

Bayesian Hierarchical Spatial Modeling of COVID-19 Cases in Bangladesh
por: Karim, Md. Rezaul, et al.
Publicado: (2023)

Cardio-cerebrovascular complications in COVID-19 patients: A retrospective cohort study
por: Hong, Kwan, et al.
Publicado: (2022)

The Serial Interval of COVID-19 in Korea: 1,567 Pairs of Symptomatic Cases from Contact Tracing
por: Hong, Kwan, et al.
Publicado: (2020)

Lack of Evidence of COVID-19 Being a Risk Factor of Alopecia Areata: Results of a National Cohort Study in South Korea
por: Kim, Jeehyun, et al.
Publicado: (2021)

352. COVID-19 Not a Risk Factor of Alopecia Areata: Results of a National Cohort Study in South Korea
por: Kim, Jeehyun, et al.
Publicado: (2021)

Trends in Viral Respiratory Infections During COVID-19 Pandemic, South Korea
por: Yum, Sujin, et al.
Publicado: (2021)

353. New-Onset Diabetes as an Acute Complication of COVID-19: A National Population Cohort Analysis
por: Hong, Kwan, et al.
Publicado: (2021)

Spatial distribution and determinants of thyroid cancer incidence from 1999 to 2013 in Korea
por: Jang, Jieun, et al.
Publicado: (2021)

Changing influenza activity in the Southern hemisphere countries during the COVID-19 pandemic
por: Kim, Jeehyun, et al.
Publicado: (2021)

Japanese Encephalitis Risk and Contextual Risk Factors in Southwest China: A Bayesian Hierarchical Spatial and Spatiotemporal Analysis
por: Zhao, Xing, et al.
Publicado: (2014)

Interactive impacts of walkability, social vulnerability, & travel behavior on COVID-19 mortality: A hierarchical Bayesian spatial random parameter approach
por: Wali, Behram
Publicado: (2023)

A Bayesian Hierarchical Model for Estimation of Abundance and Spatial Density of Aedes aegypti
por: Villela, Daniel A. M., et al.
Publicado: (2015)

Spatial epidemiologic analysis of the liver cancer and gallbladder cancer incidence and its determinants in South Korea
por: Jang, Jieun, et al.
Publicado: (2021)

1781. Spatial Epidemiology of Pneumonia Mortality in Korea: Regional Clustering and Bayesian Spatial Regression Analysis for its Determinants
por: Kisiju, Trishna, et al.
Publicado: (2023)

Hierarchical Bayesian spatial models for alcohol availability, drug "hot spots" and violent crime
por: Zhu, Li, et al.
Publicado: (2006)

A Bayesian hierarchical model with spatial variable selection: the effect of weather on insurance claims
por: Scheel, Ida, et al.
Publicado: (2013)

Bayesian hierarchical spatial regression of maternal depressive symptoms in South Western Sydney, Australia
por: Eastwood, John G, et al.
Publicado: (2014)

How Neighborhood Characteristics Influence Neighborhood Crimes: A Bayesian Hierarchical Spatial Analysis
por: Yu, Danlin, et al.
Publicado: (2022)

Hierarchical Bayesian perceptual template modeling of mechanisms of spatial attention in central and peripheral cuing
por: Lu, Zhong-Lin, et al.
Publicado: (2023)

Association between companion animal ownership and overall life satisfaction in Seoul, Korea
por: Kim, Jeehyun, et al.
Publicado: (2021)

Incidence and risk factors of vascular complications in people with impaired fasting glucose: a national cohort study in Korea
por: Yu, Eun Sun, et al.
Publicado: (2020)

Bayesian negative binomial regression with spatially varying dispersion: Modeling COVID-19 incidence in Georgia
por: Mutiso, Fedelis, et al.
Publicado: (2022)

Bayesian hierarchical spatial count modeling of taxi speeding events based on GPS trajectory data
por: Liu, Haiyue, et al.
Publicado: (2020)

Quantifying Uncertainty of the Estimated Visual Acuity Behavioral Function With Hierarchical Bayesian Modeling
por: Zhao, Yukai, et al.
Publicado: (2021)

Hierarchical Bayesian myocardial perfusion quantification
por: Scannell, Cian M., et al.
Publicado: (2020)

MEG Source Localization of Spatially Extended Generators of Epileptic Activity: Comparing Entropic and Hierarchical Bayesian Approaches
por: Chowdhury, Rasheda Arman, et al.
Publicado: (2013)

Measuring the impact of climate change on potato production in Bangladesh using Bayesian Hierarchical Spatial-temporal modeling
por: Salan, Md. Sifat Ar, et al.
Publicado: (2022)

Bayesian hierarchical models: with applications using R
por: Congdon, Peter D
Publicado: (2019)

Inferring on the Intentions of Others by Hierarchical Bayesian Learning
por: Diaconescu, Andreea O., et al.
Publicado: (2014)

A Hierarchical Bayesian Model for Crowd Emotions
por: Urizar, Oscar J., et al.
Publicado: (2016)

Fast hierarchical Bayesian analysis of population structure
por: Tonkin-Hill, Gerry, et al.
Publicado: (2019)

Epidemiology and Transmission Dynamics of Infectious Diseases and Control Measures
por: Ryu, Sukhyun, et al.
Publicado: (2022)

Spatial Distribution of COVID-19 Hospitalizations and Associated Risk Factors in Health Insurance Data Using Bayesian Spatial Modelling
por: Kauhl, Boris, et al.
Publicado: (2023)

Spatial and temporal patterns of dengue incidence in Bhutan: a Bayesian analysis
por: Tsheten, Tsheten, et al.
Publicado: (2020)

Association between Climate Factors and Dengue Fever in Asuncion, Paraguay: A Generalized Additive Model
por: Gómez Gómez, Raquel Elizabeth, et al.
Publicado: (2022)

A Bayesian Hierarchical Spatial Model to Correct for Misreporting in Count Data: Application to State-Level COVID-19 Data in the United States
por: Chen, Jinjie, et al.
Publicado: (2022)

Spatial statistical analysis of regional disparities in suicide among policy units in Japan: Using the Bayesian hierarchical model
por: Koda, Masahide, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_sfv0s1qpltr95hktnb3hpr7a99