Health Disparities of Coronavirus Disease 2019 in Texas, March–July 2020. Issue 10 (October 2021)

• Record Type: Journal Article
• Authors: Xavier, Christy; Rasu, Rafia S.
• Is Part Of: Southern medical journal. Volume 114:Issue 10(2021)
• Publication Date: 2021-10
• Subjects: COVID-19 -- morbidity -- mortality -- pandemic -- Texas; Medicine -- Periodicals; 610.5
• DOI: 10.14423/SMJ.0000000000001308
• Languages: English
• ISSNs: 0038-4348

Abstract

Abstract: Objectives: Although disparities in coronavirus disease 2019 (COVID-19) prevalence are known, knowledge of the recent surge of COVID-19 in Texas and factors affecting fatality rates is limited. Understanding the health disparities associated with COVID-19 can help healthcare professionals determine the populations that are most in need of COVID-19 preventive care and treatment. The aim of this study was to assess COVID-19-related case and mortality rates. Methods: Our cross-sectional analysis used Texas Department of State Health Services COVID-19 case surveillance counts. Case, hospitalization, and mortality counts were obtained from March to July 2020. Results: From March to July 2020, there were 420, 397 COVID-19-related cases and 6954 deaths in Texas. There were 3277 new cases and 104 deaths in March, and 261, 876 new cases and 3660 deaths in July. The number of new COVID-19 cases was the highest from March to April (relative risk 1.77, 95% confidence interval [CI] 1.76–1.78). Although the death rate in June was a 30% increase over the rate in May, death rates nearly tripled by the end of July, for a total of 3660 deaths. Of the 3958 deaths, demographic data were available for 753 deaths. Of these, 440 were male, 16 Asian, 95 Black, 221 Hispanic, 325 White, and 96 were "Other" or "Unknown." Males were associated with a slightly higher chance of acquiring COVID-19 than females (odds ratio [OR] 1.11, 95% CI 1.09–1.14) and nearly a 29% higher chance of dying of COVID-19 compared with females (OR 1.29, 95% CI 1.11–1.49). Bivariate analysis revealed that the probability of acquiring COVID-19 was 12% higher in older adults compared with individuals younger than 65 years old (OR 1.12, 95% CI 1.08–1.16), and older adults had an 18.8 times higher risk of death when compared with the rate of younger individuals (OR 18.79, 95% CI 15.93–22.15). Hispanics and Blacks were 70% and 48%, respectively, more likely to contract COVID-19 than Whites. All races had lower significant chance of death when compared with Whites. At the end of July, there was a total of 430, 485 Texas COVID-19 cases and 6387 fatalities (8.8% of all cases and 4% of all deaths in the United States.). Case fatality ratios were the highest in older adults. As we continued to observe data, in contrast to previous study time points, we found that Asians and Hispanics had no significant difference in COVID mortality rates and were comparable in terms of mortality odds and death case ratios when compared with Whites. Conclusions: This time period represents the highest COVID-19 surge time in Texas. Although our data consist of a short time period of population-level data in an ongoing pandemic and are limited by information reported to the Texas Department of State Health Services, older age, male sex, Hispanics, and Blacks are currently associated with higher infection rates, whereas older age, male sex, and Whites are associated with higher mortality rates. Clinicians and decision makers should be aware of the COVID-19 health disparities and risk factors for mortality to better promote targeted interventions and allocate resources accordingly. Abstract : Despite the fact that the disparity in the prevalence of coronavirus disease 2019 (COVID-19) is well known, knowledge about the recent surge of COVID-19 in Texas and factors affecting fatality rate is limited. Clinicians and decision makers should be aware of COVID-19 health disparities and risk factors for mortality to better promote targeted interventions and allocate resources accordingly. This article provides an assessment of the association among age, sex, and ethnicity and COVID-19 case and mortality rates.