Medicine and Health Sciences Commons^™

Three Dimensions Of Covid-19 Risk Perceptions And Their Socioeconomic Correlates In The United States: A Social Media Analysis, Shan Qiao Ph.D., Zhenlong Li Ph.D., Chen Liang Ph.D., Xiaoming Li Ph.D., Caroline Rudisill Ph.D.

Faculty Publications

Social media analysis provides an alternate approach to monitoring and understanding risk perceptions regarding COVID-19 over time. Our current understandings of risk perceptions regarding COVID-19 do not disentangle the three dimensions of risk perceptions (perceived susceptibility, perceived severity, and negative emotion) as the pandemic has evolved. Data are also limited regarding the impact of social determinants of health (SDOH) on COVID-19-related risk perceptions over time. To address these knowledge gaps, we extracted tweets regarding COVID-19-related risk perceptions and developed indicators for the three dimensions of risk perceptions based on over502 million geotagged tweets posted by over 4.9 million Twitter users …

Three Dimensions Of Covid-19 Risk Perceptions And Their Socioeconomic Correlates In The United States: A Social Media Analysis, Shan Qiao, Zhenlong Li, Caroline Rudsill

Faculty Publications

Social media analysis provides an alternate approach to monitoring and understanding risk perceptions regarding COVID-19 over time. Our current understandings of risk perceptions regarding COVID-19 do not disentangle the three dimensions of risk perceptions (perceived susceptibility, perceived severity, and negative emotion) as the pandemic has evolved. Data are also limited regarding the impact of social determinants of health (SDOH) on COVID-19-related risk perceptions over time. To address these knowledge gaps, we extracted tweets regarding COVID-19-related risk perceptions and developed indicators for the three dimensions of risk perceptions based on over 502 million geotagged tweets posted by over 4.9 million Twitter …

Multilevel Determinants Of Racial/Ethnic Disparities In Severe Maternal Morbidity And Mortality In The Context Of The Covid-19 Pandemic In The Usa: Protocol For A Concurrent Triangulation, Mixed-Methods Study, Jihong Liu, Peiyin Hung Ph.D, Chen Liang Ph.D., Jiajia Zhang Ph.D., Shan Qiao Ph.D., Berry A. Campbell, Bankole Olatosi Ph.D., Myriam E. Torres Ph. D., Neset Hikmet, Xiaoming Li Ph.D.

Faculty Publications

Introduction The COVID-19 pandemic has affected communities of colour the hardest. Non-Hispanic black and Hispanic pregnant women appear to have disproportionate SARS-CoV-2 infection and death rates.

Methods and analysis We will use the socioecological framework and employ a concurrent triangulation, mixed-methods study design to achieve three specific aims: (1) examine the impacts of the COVID-19 pandemic on racial/ethnic disparities in severe maternal morbidity and mortality (SMMM); (2) explore how social contexts (eg, racial/ethnic residential segregation) have contributed to the widening of racial/ethnic disparities in SMMM during the pandemic and identify distinct mediating pathways through maternity care and mental health; and …

Examining Social Determinants Of Health During A Pandemic: Clinical Application Of Z Codes Before And During Covid-19, Xueying Yang Ph.D., Brooks Yelton, Shujie Chen, Jiajia Zhang Ph.D., Bankole Olatosi Ph.D., Shan Qiao Ph.D., Xiaoming Li Ph.D., Daniela B. Friedman Ph.D.

Faculty Publications

Recognition of the impact of social determinants of health (SDoH) on healthcare outcomes, healthcare service utilization, and population health has prompted a global shift in focus to patient social needs and lived experiences in assessment and treatment. The International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) provides a list of non-billable “Z codes” specific to SDoH for use in electronic health records. Using population-level analysis, this study aims to examine clinical application of Z codes in South Carolina before and during the COVID-19 pandemic. The study population consists of South Carolina residents who had a healthcare visit and had …

Social Capital, Urbanization Level, And Covid-19 Vaccination Uptake In The United States: A National Level Analysis, Shan Qiao, Zhenlong Li, Jiajia Zhang, Xiaowen Sun, Camryn Garrett, Xiaoming Li

Faculty Publications

Vaccination remains the most promising mitigation strategy for the COVID-19 pandemic. However, existing literature shows significant disparities in vaccination uptake in the United States. Using publicly available national-level data, we aimed to explore if county-level social capital can further explain disparities in vaccination uptake rates when adjusting for demographic and social determinants of health (SDOH) variables, and if association between social capital and vaccination uptake may vary by urbanization level. Bivariate analyses and a hierarchical multivariable quasi-binomial regression analysis were conducted, where the regression analysis was stratified by urban–rural status. The current study suggests that social capital contributes significantly to …

Social Capital, Urbanization Level, And Covid-19 Vaccination Uptake In The United States: A National Level Analysis, Shan Qiao Ph.D., Zhenlong Li, Jiajia Zhang Ph.D., Xiaowen Sun, Camryn Garrett, Xiaoming Li Ph.D.

Faculty Publications

Vaccination remains the most promising mitigation strategy for the COVID-19 pandemic. However, existing literature shows significant disparities in vaccination uptake in the United States. Using publicly available national-level data, we aimed to explore if county-level social capital can further explain disparities in vaccination uptake rates when adjusting for demographic and social determinants of health (SDOH) variables, and if association between social capital and vaccination uptake may vary by urbanization level. Bivariate analyses and a hierarchical multivariable quasi-binomial regression analysis were conducted, where the regression analysis was stratified by urban–rural status. The current study suggests that social capital contributes significantly to …