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      The Impact of COVID-19 on HIV Care in Rio de Janeiro, Brazil 2019–2021: Disparities by Age and Gender

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          Abstract

          We evaluated COVID-19’s impact on HIV care indicators among INI/FIOCRUZ’s HIV Clinical Cohort in Rio de Janeiro, Brazil: (1) Adequate care visits: two visits ≥ 90 days apart; (2) Adequate viral load monitoring: ≥ 2 viral load results ≥ 90 days apart; (3) Consistent viral suppression: all viral loads < 40 copies/mL; and (4) ART medication possession ratio (MPR) ≥ 95%. Chi-square tests compared the fraction of participants meeting each indicator per period: pre-pandemic (3/1/2019–2/29/2020) and post-pandemic (3/1/2020–2/28/2021). Logistic regression models were used to assess disparities in adequate care visits. Among 906 participants, care visits and viral load monitoring decreased pre-pandemic to post-pandemic: 77.0–55.1% and 36.6–11.6% (both p < 0.001), respectively. The optimal MPR rate improved from 25.5 to 40.0% (p < 0.001). Post-pandemic period (aOR 0.33, CI 0.28–0.40), transgender women (aOR 0.34, CI 0.22–0.53), and those aged 18–24 years (aOR 0.67, CI 0.45–0.97) had lower odds of adequate care visits. COVID-19 disrupted care access disproportionately for transgender women and younger participants.

          Supplementary Information

          The online version contains supplementary material available at 10.1007/s10461-023-03988-3.

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          COVID-19 and the impact of social determinants of health

          The novel coronavirus disease 2019 (COVID-19), caused by the pathogen severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), originated in Wuhan, China, and has now spread internationally with over 4·3 million individuals infected and over 297 000 deaths as of May 14, 2020, according to the Johns Hopkins Coronavirus Resource Center. While COVID-19 has been termed a great equaliser, necessitating physical distancing measures across the globe, it is increasingly demonstrable that social inequalities in health are profoundly, and unevenly, impacting COVID-19 morbidity and mortality. Many social determinants of health—including poverty, physical environment (eg, smoke exposure, homelessness), and race or ethnicity—can have a considerable effect on COVID-19 outcomes. Homeless families are at higher risk of viral transmission because of crowded living spaces and scarce access to COVID-19 screening and testing facilities. 1 In a Boston study of 408 individuals residing in a shelter, 147 (36%) had a positive SARS-CoV-2 PCR test. 2 Smoke exposure and smoking has been linked to adverse outcomes in COVID-19. 3 A systematic review found that current or former smokers were more likely to have severe COVID-19 symptoms than non-smokers (relative risk [RR] 1·4 [95% CI 0·98–2·00]) as well as an increased risk of intensive care unit (ICU) admission, mechanical ventilation, or COVID-19-related mortality (RR 2·4, 1·43–4·04). 3 In the USA, the COVID-19 infection rate is three times higher in predominantly black counties than in predominantly white counties, and the mortality rate is six times higher. 4 In Chicago alone, over 50% of COVID-19 cases and almost 70% of COVID-19 fatalities are disproportionately within the black population, who make up only 30% of the overall Chicago population. 4 It is also poignant that physical distancing measures, which are necessary to prevent the spread of COVID-19, are substantially more difficult for those with adverse social determinants and might contribute to both short-term and long-term morbidity. School closures increase food insecurity for children living in poverty who participate in school lunch programmes. Malnutrition causes substantial risk to both the physical and mental health of these children, including lowering immune response, which has the potential to increase the risk of infectious disease transmission. 5 People or families who are homeless are at higher risk of infection during physical lockdowns especially if public spaces are closed, resulting in physical crowding that is thought to increase viral transmission and reduce access to care. 1 Being able to physically distance has been dubbed an issue of privilege that is simply not accessible in some communities. 4 The association of social inequalities and COVID-19 morbidity is further compounded in the context of underlying chronic respiratory conditions, such as asthma, where there is a possible additive, or even multiplicative, effect on COVID-19 morbidity. Several adverse social determinants that impact the risk of COVID-19 morbidity also increase asthma morbidity, including poverty, smoke exposure, and race or ethnicity. 6 Consistent associations have been noted between poverty, smoke exposure, and non-Hispanic black race and measures of asthma morbidity, including poorer asthma control and increased emergency department visits for asthma. 6 The interplay of social determinants, asthma, and COVID-19 might help explain the risk of COVID-19 morbidity imposed by asthma, such as the disproportionate hospitalisations for COVID-19 among adults with asthma living in the USA. 7 The CDC note asthma to be a risk factor for COVID-19 morbidity. 8 Data released from the CDC on hospitalisations in the USA in the month of March, 2020, notes that 12 (27%) of 44 patients aged 18–49 years who were hospitalised with COVID-19 had a history of asthma, 8 in those aged 50–64 years, asthma was present in 7 (13%) of 53 cases, and in those 65 years or older asthma was present in 8 (13%) of 62 cases. 8 The effect of social determinants of health and COVID-19 morbidity is perhaps underappreciated. 6 Yet, the great public health lesson is that for centuries pandemics disproportionately affect the poor and disadvantaged. 9 Additionally, mitigating social determinants—such as improved housing, reduced overcrowding, and improved nutrition—reduces the effect of infectious diseases, such as tuberculosis, even before the advent of effective medications. 10 It is projected that recurrent wintertime outbreaks of SARS-CoV-2 will likely occur after this initial wave, necessitating ongoing planning over the next few years. Studies are required to measure the effect of COVID-19 on individuals with adverse social determinants and innovative approaches to management are required, and might be different from those of the broader population. The effect of physical distancing measures, particularly among individuals with chronic conditions facing adverse social circumstances, needs to be studied because adverse determinants and physical distancing measures could compound issues, such as asthma medication access and broader access to care. The long-term effect of school closures, among those facing adverse social circumstances, is also in need of study. Moving forward, as the lessons of COVID-19 are considered, social determinants of health must be included as part of pandemic research priorities, public health goals, and policy implementation. While the relationships between these variables needs elucidating, measures that affect adverse determinants, such as reducing smoke exposure, regular income support to low-income households, access to testing and shelter among the homeless, and improving health-care access in low-income neighbourhoods have the potential to dramatically reduce future pandemic morbidity and mortality, perhaps even more so among individuals with respiratory conditions such as asthma. 7 More broadly, the effects of COVID-19 have shed light on the broad disparities within our society and provides an opportunity to address those disparities moving forward. 6 © 2020 Jim West/Science Photo Library 2020 Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
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            Ethnic and regional variations in hospital mortality from COVID-19 in Brazil: a cross-sectional observational study

            Summary Background Brazil ranks second worldwide in total number of COVID-19 cases and deaths. Understanding the possible socioeconomic and ethnic health inequities is particularly important given the diverse population and fragile political and economic situation. We aimed to characterise the COVID-19 pandemic in Brazil and assess variations in mortality according to region, ethnicity, comorbidities, and symptoms. Methods We conducted a cross-sectional observational study of COVID-19 hospital mortality using data from the SIVEP-Gripe (Sistema de Informação de Vigilância Epidemiológica da Gripe) dataset to characterise the COVID-19 pandemic in Brazil. In the study, we included hospitalised patients who had a positive RT-PCR test for severe acute respiratory syndrome coronavirus 2 and who had ethnicity information in the dataset. Ethnicity of participants was classified according to the five categories used by the Brazilian Institute of Geography and Statistics: Branco (White), Preto (Black), Amarelo (East Asian), Indígeno (Indigenous), or Pardo (mixed ethnicity). We assessed regional variations in patients with COVID-19 admitted to hospital by state and by two socioeconomically grouped regions (north and central-south). We used mixed-effects Cox regression survival analysis to estimate the effects of ethnicity and comorbidity at an individual level in the context of regional variation. Findings Of 99 557 patients in the SIVEP-Gripe dataset, we included 11 321 patients in our study. 9278 (82·0%) of these patients were from the central-south region, and 2043 (18·0%) were from the north region. Compared with White Brazilians, Pardo and Black Brazilians with COVID-19 who were admitted to hospital had significantly higher risk of mortality (hazard ratio [HR] 1·45, 95% CI 1·33–1·58 for Pardo Brazilians; 1·32, 1·15–1·52 for Black Brazilians). Pardo ethnicity was the second most important risk factor (after age) for death. Comorbidities were more common in Brazilians admitted to hospital in the north region than in the central-south, with similar proportions between the various ethnic groups. States in the north had higher HRs compared with those of the central-south, except for Rio de Janeiro, which had a much higher HR than that of the other central-south states. Interpretation We found evidence of two distinct but associated effects: increased mortality in the north region (regional effect) and in the Pardo and Black populations (ethnicity effect). We speculate that the regional effect is driven by increasing comorbidity burden in regions with lower levels of socioeconomic development. The ethnicity effect might be related to differences in susceptibility to COVID-19 and access to health care (including intensive care) across ethnicities. Our analysis supports an urgent effort on the part of Brazilian authorities to consider how the national response to COVID-19 can better protect Pardo and Black Brazilians, as well as the population of poorer states, from their higher risk of dying of COVID-19. Funding None.
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                Author and article information

                Contributors
                anne_bocage@brown.edu
                Journal
                AIDS Behav
                AIDS Behav
                AIDS and Behavior
                Springer US (New York )
                1090-7165
                1573-3254
                30 January 2023
                : 1-13
                Affiliations
                [1 ]GRID grid.19006.3e, ISNI 0000 0000 9632 6718, South American Program in HIV Prevention Research, David Geffen School of Medicine, , University of California, Los Angeles, ; Los Angeles, CA USA
                [2 ]GRID grid.40263.33, ISNI 0000 0004 1936 9094, The Warren Alpert Medical School of Brown University, ; 222 Richmond St, Box G-M117, Providence, RI 02912 USA
                [3 ]GRID grid.418068.3, ISNI 0000 0001 0723 0931, Evandro Chagas National Institute of Infectious Diseases, Oswaldo Cruz Foundation, ; Rio de Janeiro, Brazil
                [4 ]UTHealth Houston, Houston, TX USA
                [5 ]GRID grid.19006.3e, ISNI 0000 0000 9632 6718, Center for HIV Identification, Prevention, and Treatment Services, Department of Family Medicine, , University of California Los Angeles, ; Los Angeles, CA USA
                Author information
                http://orcid.org/0000-0001-5535-9692
                Article
                3988
                10.1007/s10461-023-03988-3
                9885404
                36715887
                8b615a02-4289-4f6a-991d-cf7004b5563f
                © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

                History
                : 9 January 2023
                Funding
                Funded by: UCLA South American Program in HIV Prevention Research
                Award ID: NIH R25 MH087222
                Award Recipient :
                Funded by: NIH-funded Caribbean, Central, and South America network for HIV epidemiology (CCASAnet), a member cohort of the International Epidemiologic Databases to Evaluate AIDS (leDEA)
                Award ID: U01AI069923
                Funded by: Fundação de Amparo à Pesquisa do Estado do Rio de Janeiro
                Award ID: E-26/210.820/2021
                Funded by: FundRef http://dx.doi.org/10.13039/501100003593, Conselho Nacional de Desenvolvimento Científico e Tecnológico;
                Award ID: 305789/2019-8
                Award Recipient :
                Categories
                Original Paper

                Infectious disease & Microbiology
                covid-19,hiv care continuum,brazil,health disparities
                Infectious disease & Microbiology
                covid-19, hiv care continuum, brazil, health disparities

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