COVID-19 vaccination and race - A nationwide survey of vaccination status, intentions, and trust in the US general population.

BACKGROUND: COVID-19 vaccine hesitancy for adults and children varies depending on societal factors, race, and trust ascribed to the source of vaccine information. OBJECTIVE: To assess COVID-19 vaccination rates and trust levels for vaccine information by race at 2 time points. METHODS: Online cross-sectional data from US adults were collected in February/March 2021 (T1) and November 2021 (T2). Questions included vaccination status, reasons for vaccine refusal, trust levels for vaccine information and the Wake Forest Physician Trust Scale. At T2, parents were asked about vaccination status of children aged 12-18 years and intent for children aged 5-11 years. Vaccination rates and trust levels for vaccine information were measured. Multivariable logistic regression was used to identify characteristics predictive of receiving COVID-19 vaccination. RESULTS: Vaccination rates were 20.2% and 70.8% at T1 and T2, respectively. At T1 and T2, higher proportions of White (23.2% and 72.0%) and Other race (14.4% and 75.2%) respondents were vaccinated relative to Black respondents (9.6% and 64.4%) (P < 0.05). In descending order, respondents' doctors, family members, and pharmacists were the most trusted information sources. Black parents, relative to White and Other parents with unvaccinated children aged 12-18 years or who were not very likely to vaccinate younger children, reported lowest physician trust (P < 0.01). At T1, being married, college educated, and older and having greater Wake Forest Physician Trust Scale scores and a higher number of comorbidities predicted a higher likelihood of being vaccinated. Being Black, having a median household income less than $100,000, and residing in the Northeast or Midwest, relative to the West, predicted a decreased likelihood of being vaccinated. At T2, race and comorbidities were no longer predictive of vaccination. CONCLUSIONS: Racial variation in vaccination status decreased from T1 to T2. Physician trust predicted vaccination status and intent regardless of race. Respondents' doctors, family members, and pharmacists are trusted sources of vaccine information, and targeting these influencers may reduce vaccination hesitancy. DISCLOSURES: Dr Brown reports personal fees from Taiho Oncology, outside the submitted work. Dr Morlock reports personal fees from Johnson and Johnson, Heron Therapeutics, Evofem Biosciences, Horizon Therapeutics, and Taiho Oncology, outside the submitted work. Amy Morlock reports personal fees from both AbbVie (formerly Allergan) and Ironwood, outside the submitted work. Drs Blakolmer and Heidari have nothing to disclose.

COVID-19 prevalence and predictors in United States adults during peak stay-at-home orders.

BACKGROUND: Early recognition of COVID-19 cases is essential for effective public health measures aimed at isolation of individuals infected with severe acute respiratory syndrome coronavirus 2 (SARS-COV-2). The objective of this study was to describe characteristics, self-reported symptoms, and predictors of testing positive for SARS-CoV-2 infection in a community-based sample. METHODS AND FINDINGS: This was a cross-sectional nationwide survey of adults in the US conducted between April 24 through May 13, 2020. The survey targeted a representative sample of approximately 5,000 respondents. The rate of COVID-19 cases and testing, most frequently reported symptoms, symptom severity, treatment received, impact of COVID-19 on mental and physical health, and factors predictive of testing positive were assessed. Most of the 5,203 participants (85.6%) reported no COVID-19-like symptoms. Of the 747 (14.5%) participants reporting COVID-19-like symptoms, 367 (49.1%) obtained a diagnostic test. Eighty-nine participants (24.3%) reported a positive COVID-19 test result, representing 1.7% of the total sample. For those testing positive, the most common symptoms were dry cough, fever, and shortness of breath/difficulty breathing. Those who tested positive were more likely to report greater symptom severity versus those who tested negative. Severe dry cough, new loss of taste or smell, trouble waking up, living with someone experiencing symptoms, recent international travel, respiratory issues, and reporting ethnicity of Black or African American were predictive of testing positive. CONCLUSIONS: This study assessed the impact of COVID-19 using community-level self-reported data across the US during the peak of most stay at home' orders. Self-reported symptoms and risk factors identified in this study are consistent with the clinical profile emerging for COVID-19. In the absence of widespread testing, this study demonstrates the utility of a representative US community-based sample to provide direct-reported symptoms and outcomes to quickly identify high-risk individuals who are likely to test positive and should consider taking greater precautions.