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 …

Covid-19 Disrupted Provision And Utilization Of Health And Nutrition Services In Uttar Pradesh, India: Insights From Service Providers, Household Phone Surveys, And Administrative Data, Phuong H. Nguyen, Shivani Kachwaha, Anjali Pant, Lan M. Tran, Monika Walia, Sebanti Ghosh, Praveen K. Sharma, Jessica Escobar-Alegria, Edward A. Frongillo Jr., Purnima Menon, Rasmi Avula

Faculty Publications

BACKGROUND: The coronavirus (COVID-19) pandemic may substantially affect health systems, but little primary evidence is available on disruption of health and nutrition services. OBJECTIVES: This study aimed to 1) determine the extent of disruption in provision and utilization of health and nutrition services induced by the pandemic in Uttar Pradesh, India; and 2) identify how adaptations were made to restore service provision in response to the pandemic. METHODS: We conducted longitudinal surveys with frontline workers (FLWs, n = 313) and mothers of children < 2 y old (n = 659) in December 2019 (in-person) and July 2020 (by phone). We also interviewed block-level managers and obtained administrative data. We examined changes in service provision and utilization using Wilcoxon matched-pairs signed-rank tests. RESULTS: Compared with prepandemic, service provision reduced substantially during lockdown (83-98 percentage points, pp), except for home visits and take-home rations (∼ 30%). Most FLWs (68%-90%) restored service provision in July 2020, except for immunization and hot cooked meals (< 10%). Administrative data showed similar patterns of disruption and restoration. FLW fears, increased workload, inadequate personal protective equipment (PPE), and manpower shortages challenged service provision. Key adaptations made to provide services were delivering services to beneficiary homes (∼ 40%-90%), social distancing (80%), and using PPE (40%-50%) and telephones for communication (∼ 20%). On the demand side, service utilization reduced substantially (40-80 pp) during the lockdown, but about half of mothers received home visits and food supplementation. Utilization for most services did not improve after the lockdown, bearing the challenges of limited travel (30%), nonavailability of services (26%), and fear of catching the virus when leaving the house (22%) or meeting service providers (14%). CONCLUSIONS: COVID-19 disrupted the provision and use of health and nutrition services in Uttar Pradesh, India, despite adaptations to restore services. Strengthening logistical support, capacity enhancement, performance management, and demand creation are needed to improve service provision and utilization during and post-COVID-19.

Psychiatric Symptoms, Risk, And Protective Factors Among University Students In Quarantine During The Covid-19 Pandemic In China, Shufang Sun, Simon B. Goldberg, Danhua Lin, Shan Qiao Ph.D., Don Operario

Faculty Publications

Background: The COVID-19 pandemic has made unprecedented impact on the psychological health of university students, a population vulnerable to distress and mental health disorders. This study investigated psychiatric symptoms (anxiety, depression, and traumatic stress) during state-enforced quarantine among university students in China (N = 1912) through a cross-sectional survey during March and April 2020. Results: Psychiatric symptoms were alarmingly prevalent: 67.05% reported traumatic stress, 46.55% had depressive symptoms, and 34.73% reported anxiety symptoms. Further, 19.56% endorsed suicidal ideation. We explored risk and protective factors of psychological health, including demographic variables, two known protective factors for mental health (mindfulness, perceived social …

Information Uncertainty: A Correlate For Acute Stress Disorder During The Covid-19 Outbreak In China, Danhua Lin, Daniela B. Friedman Ph.D., Shan Qiao Ph.D., Cheuk Chi Tam, Xiaoyan Li, Xiaoming Li Ph.D.

Faculty Publications

Background: Individuals’ stress in responding to the current COVID-19 pandemic may be exacerbated by information uncertainty driven by inconsistent, unverified, and conflicting news from various sources. The current study aims to test if information uncertainty during the COVID-19 outbreak was related to acute stress disorder (ASD) over and above other psychosocial stressors.

Methods: An anonymous online survey was conducted with 7800 college students throughout China from January 31 through February 11, 2020. Existing scales were modified to measure ASD and six potential stressors including information uncertainty during the COVID-19 outbreak. Hierarchical regression analysis was conducted to assess the unique association …