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1.
Health Aff (Millwood) ; 40(6): 870-878, 2021 06.
Article in English | MEDLINE | ID: mdl-33979192

ABSTRACT

With a population of forty million and substantial geographic variation in sociodemographics and health services, California is an important setting in which to study disparities. Its population (37.5 percent White, 39.1 percent Latino, 5.3 percent Black, and 14.4 percent Asian) experienced 59,258 COVID-19 deaths through April 14, 2021-the most of any state. We analyzed California's racial/ethnic disparities in COVID-19 exposure risks, testing rates, test positivity, and case rates through October 2020, combining data from 15.4 million SARS-CoV-2 tests with subcounty exposure risk estimates from the American Community Survey. We defined "high-exposure-risk" households as those with one or more essential workers and fewer rooms than inhabitants. Latino people in California are 8.1 times more likely to live in high-exposure-risk households than White people (23.6 percent versus 2.9 percent), are overrepresented in cumulative cases (3,784 versus 1,112 per 100,000 people), and are underrepresented in cumulative testing (35,635 versus 48,930 per 100,000 people). These risks and outcomes were worse for Latino people than for members of other racial/ethnic minority groups. Subcounty disparity analyses can inform targeting of interventions and resources, including community-based testing and vaccine access measures. Tracking COVID-19 disparities and developing equity-focused public health programming that mitigates the effects of systemic racism can help improve health outcomes among California's populations of color.


Subject(s)
COVID-19 , Ethnicity , California , Health Status Disparities , Humans , Minority Groups , SARS-CoV-2 , United States
2.
AIDS ; 24(8): 1203-12, 2010 May 15.
Article in English | MEDLINE | ID: mdl-20395786

ABSTRACT

OBJECTIVE: To determine the distribution of HIV-1 subtypes and the prevalence of transmitted drug resistance-associated mutations (TDRM) among persons newly diagnosed with HIV-1 infection in the United States. METHODS: We used sequence data from Variant, Atypical, and Resistant HIV Surveillance (VARHS) collected from newly diagnosed persons in 10 states and 1 county health department in 2006. To evaluate TDRM, we used a mutation list for surveillance of TDRM appropriate for the primarily subtype B HIV epidemic in the United States. RESULTS: Sequences were obtained from 2030 of 10,860 persons newly diagnosed with HIV in 11 surveillance areas. Mutations associated with transmitted drug resistance occurred in 292 (14.6%) persons; TDRM associated with a specific drug class occurred in 156 (7.8%) for non-nucleoside reverse transcriptase inhibitors, 111 (5.6%) for nucleoside reverse transcriptase inhibitors and 90 (4.5%) for protease inhibitors. There were no significant differences in prevalence of TDRM by demographic characteristic. The HIV-1 subtype B was the most prevalent subtype occurring in 1922 (96.2%) persons; subtype C (1.3%) was the most prevalent non-B subtype. CONCLUSION: We presented a clade B-optimized mutation list for evaluating surveillance of TDRM in the United States and analyzed the largest collection of sequence data obtained from individuals newly diagnosed with HIV. The prevalence of TDRM in persons newly diagnosed with HIV is higher than in previous U.S. studies; however, this is not necessarily a significant trend. Continued reporting of sequence data for public health purposes from all sources will improve representativeness and accuracy in analyzing trends in transmitted drug resistance and genetic diversity.


Subject(s)
HIV Infections/genetics , HIV-1/genetics , Mutation/genetics , RNA, Viral/genetics , Adult , Drug Resistance, Viral/genetics , Female , Genotype , HIV Infections/drug therapy , HIV Infections/epidemiology , Humans , Male , Molecular Sequence Data , Phylogeny , Prevalence , Sentinel Surveillance , Sequence Analysis, DNA , United States/epidemiology , Viral Load
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