Publications by authors named "Tran Ha Nguyen"

Diabetes, including type 1, type 2, and gestational, is a significant public health issue responsible for various clinical, economic, and societal issues. Most of the consequences, if uncontrolled, can result in serious health problems, such as heart disease, vision loss, and kidney disease. Approximately 37.

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Background: The COVID-19 pandemic affects population groups differently, worsening existing social, economic, and health inequities.

Purpose: This study examined 159 counties within Georgia to identify community characteristics associated with county-level COVID-19 case, hospitalization, and death rates.

Methods: Data from the 2020 County Health Rankings, the 2010 US Census, and the Georgia Department of Public Health COVID-19 Daily Status Report were linked using county Federal Information Processing Standard codes and evaluated through multivariable linear regression models.

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Aims: To examine the extent to which local health departments (LHDs) conduct activities to address opioid use and abuse. To test the hypothesis that (i) LHDs' access to data from an electronic syndromic surveillance system is associated with conducting activities to address opioid use and abuse, and (ii) among those LHDs with access to syndromic surveillance data, the use of syndromic and other surveillance data on opioid-related events is associated with LHDs' report of conducting activities to address opioid use and abuse.

Methods: Logistic regression was used to analyze data from the 2018 Forces of Change Survey of a statistically representative sample of 966 LHDs, of which 591 participated in the survey.

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Background: The continuous improvement function, 1 of the 6 public health governance functions, can be usefully applied in the context of local boards of health (LBoHs) operations to target self-improvements.

Purpose: The purpose of this study was to determine the engagement level of LBoHs in continuous improvement efforts and to identify factors associated with this function.

Methods: Negative binomial regression was performed to analyze data from the 2015 Local Board of Health National Profile.

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