RESUMO
Objective – To identify and assess whether three major risk factors that due to differential access to flexible resources might help explain disparities in the spread of COVID-19 across communities with different socioeconomic status, including socioeconomic inequalities in social distancing, the potential risk of interpersonal interactions, and access to testing. Methods Analysis uses ZIP code level weekly COVID-19 new cases, weekly population movement flows, weekly close-contact index, and weekly COVID-19 testing sites in Southern California from March 2020 to April 2021, merged with the U.S. census data to measure ZIP code level socioeconomic status and cofounders. This study first develops the measures for social distancing, the potential risk of interactions, and access to testing. Then we employ a spatial lag regression model to quantify the contributions of those factors to weekly COVID-19 case growth. Results Results identify that, during the first COVID-19 wave, new case growth of the low-income group is two times higher than that of the high-income group. The COVID-19 case disparity widens to four times in the second COVID-19 wave. We also observed significant disparities in social distancing, the potential risk of interactions, and access to testing among communities with different socioeconomic status. In addition, all of them contribute to the disparities of COVID-19 incidences. Among them, the potential risk of interactions is the most important contributor, whereas testing accessibility contributes least. We also found that close-contact is a more effective measure of social distancing than population movements in examining the spread of COVID-19. Conclusion – This study answers critically unaddressed questions about health disparities in the spread of COVID-19 by assessing factors that might explain why the spread is different in different groups.
RESUMO
Since the emergency approval of several therapeutic coronavirus disease 2019 (COVID-19) vaccines in the United States, >500 million doses have been administered. However, there have been disparities in vaccine acceptability and uptake. We examined demographic, human immunodeficiency virus (HIV) disease, and psychosocial factors associated with COVID-19 vaccine acceptability in older adults (≥50 years) living with HIV in the Coachella Valley, California. Participants completed a 1-time anonymous online questionnaire assessing their demographic (i.e., age, race, education, etc), HIV disease (i.e., viral suppression, years living with HIV, acquired immunodeficiency syndrome diagnosis), psychosocial (i.e., HIV-related stigma, personal mastery, depression, etc) characteristics, and COVID-19 vaccine acceptability. Respondents were offered an electronic $20 United States dollar (USD) gift card for survey completion. Descriptive, univariable, and multivariable tests were conducted to analyze the data. Between September 2020 and February 2021, 114 surveys were completed. Eighty-six (75%) agreed/strongly agreed with the COVID-19 vaccine acceptability statement that they saw no problem with receiving a COVID-19 vaccine if one became available. Among those who agreed/strongly agreed, the mean age was 62.2 years (standard deviation = 7.20); 86% self-identified as White; 95% male; 91% with more than high school education; and 31% with annual income <$20,000 USD. Among respondents who disagreed/strongly disagreed, the mean age was 59.9 years (standard deviation = 4.85); 50% self-identified as White; 50% male; 64% with more than high school education; and 4% with annual income <$20,000 USD. In the univariable analyses, those who disagreed/strongly disagreed with the COVID-19 vaccine acceptability statement were significantly more likely to be living with HIV for fewer years, experiencing higher levels of HIV-related stigma and depression, and with lower levels of personal mastery. In the multivariable logistic regression model, self-identification as female vs male and unemployed vs employed was significantly associated with decreased COVID-19 vaccine acceptability (odds ratio = 0.09, 95% confidence interval: 0.01-0.71 and odds ratio = 0.08, 95% confidence interval: 0.01-0.70 respectively), adjusting for ethnicity, marital status, education, disability, years living with HIV, HIV-related stigma, and depression. Additional studies are needed to understand vaccine-related decision-making among older adults living with HIV. Programmatic efforts may also be necessary to disseminate accurate information/resources about COVID-19 vaccines to those with more recent HIV diagnoses, experiencing HIV-related stigma and depression, with lower levels of personal mastery, and facing socioeconomic disparities.