ABSTRACT

OBJECTIVE:

To describe the profile of the HIV/AIDS epidemic in Brazil and its Federation Units by gender, identify its associated contextual factors, and track changes in its epidemiological pattern from 2000 to 2019.

METHODS:

This is an ecological study with epidemiological data from DATASUS and population data from the Brazilian Institute of Geography and Statistics. Time-series analyses of incidence rates by gender and trends were performed by joinpoint regressions, obtaining the average annual percent change (AAPC). Then, all genders were analyzed regarding the association between AAPC and the following contextual indicators: Municipal Human Development Index (HDI-M), Gini Index, Social Vulnerability Index, illiteracy rates, proportion of late diagnosis, and proportion of test distribution.

RESULTS:

Incidence rates in men showed a linear decreasing trend (AAPC = −0.6; 95%CI −1.1 to 0.0). Rates in women increased from 2000 to 2009 and decreased from 2010 to 2019, tending upward throughout the period (AAPC = 1.4; 95%CI 0.8 to 1.9). Analyses by gender ratio showed a downward trend (AAPC = −1.8; 95%CI −2.3 to −1.3), indicating a reduction in the rates in men when compared to women. Indicators and the AAPC showed an inverse association for all genders, in which the HDI-M was the variable with the most pronounced association, showing that higher human development indices are associated with lower variations in HIV/AIDS rates.

CONCLUSION:

Case distribution differ across genders, with an upward incidence trend in women and a possible association with gender-related vulnerabilities. It is important to think about public policies that consider these dimensions.

DESCRIPTORS:
HIV Infection; Acquired Immunodeficiency Syndrome; Time Series Studies; Social Determinants of Health

INTRODUCTION

The global HIV/AIDS epidemic has cases worldwide¹1 Brito AM, Castilho EA, Szwarcwald CL. AIDS e infecção pelo HIV no Brasil: uma epidemia multifacetada. Rev Soc Bras Med Trop. 2001;34(2):207-17. https://doi.org/10.1590/S0037-86822001000200010
https://doi.org/10.1590/S0037-8682200100... . It is estimated that 38.4 million people lived with HIV/AIDS worldwide in 2021²2 Joint United Nations Programme on HIV/AIDS. Global data on HIV epidemiology and response. Geneva: AIDSinfo; 2022 [cited 2023 Feb 20]. Available from: https://aidsinfo.unaids.org/
https://aidsinfo.unaids.org/... . From the beginning of the epidemic³3 Ministério da Saúde (BR). Secretaria de Vigilância em Saúde. Bol Epidemiol HIV/Aids 2022. 2022 dez [cited 2023 Feb 20];N° Espec. Available from: https://www.gov.br/saude/pt-br/assuntos/noticias/2022/dezembro/arquivos/boletim_hiv_aids_-2022_internet_24-11_finalizado.pdf
https://www.gov.br/saude/pt-br/assuntos/... to June 2022, Brazil reported 1,088,536 cases. In 2021, 54% of people living with HIV worldwide were women and girls, with heterosexual intercourse configuring the main category of exposure in women, corresponding to 86.6% of cases and especially reaching the female population in reproductive age, 45.6% of which including the age group from 15 to 34 years, with implications regarding the possibility of vertical transmission of the infection²2 Joint United Nations Programme on HIV/AIDS. Global data on HIV epidemiology and response. Geneva: AIDSinfo; 2022 [cited 2023 Feb 20]. Available from: https://aidsinfo.unaids.org/
https://aidsinfo.unaids.org/... ,³3 Ministério da Saúde (BR). Secretaria de Vigilância em Saúde. Bol Epidemiol HIV/Aids 2022. 2022 dez [cited 2023 Feb 20];N° Espec. Available from: https://www.gov.br/saude/pt-br/assuntos/noticias/2022/dezembro/arquivos/boletim_hiv_aids_-2022_internet_24-11_finalizado.pdf
https://www.gov.br/saude/pt-br/assuntos/... .

Social inequalities and changes in the predominance of transmission routes over time contribute to the diverse epidemiological profiles of the epidemic¹1 Brito AM, Castilho EA, Szwarcwald CL. AIDS e infecção pelo HIV no Brasil: uma epidemia multifacetada. Rev Soc Bras Med Trop. 2001;34(2):207-17. https://doi.org/10.1590/S0037-86822001000200010
https://doi.org/10.1590/S0037-8682200100... . Initially restricted to men who had sex with men, those who injected drugs, and people living with hemophilia, the contours of the epidemic have changed, reaching women more widely. An upward trend in cases of HIV infection in women has been observed since the early 1990s, markedly characterized by heterosexual transmission and associated with factors related to greater female vulnerability, especially due to the ways with which men and women relate to each other in society and the power dynamics permeating these relationships⁴4 Santos NJ, Barbosa RM, Pinho AA, Villela WV, Aidar T, Filipe EM. Contextos de vulnerabilidade para o HIV entre mulheres brasileiras. Cad Saude Publica. 2009;25 Suppl 2:S321-33. https://doi.org/10.1590/S0102-311X2009001400014
https://doi.org/10.1590/S0102-311X200900... ,⁵5 Foucault M. História da sexualidade 1: a vontade de saber. 10th ed. Rio de Janeiro: Paz e Terra; 2020..

This study hypothesized that the distributions of HIV and AIDS cases in Brazil and in its female population differ from each other and that, when compared to the male population over the years and per Federation Unit (FU), it has followed social determinants measured by contextual indicators.

This study aims to describe the profile of the HIV/AIDS epidemic in Brazil according to gender and FU to evaluate its associated contextual factors and monitor changes in its epidemiological pattern from 2000 to 2019 in individuals aged 13 years or above. This research estimated HIV/AIDS incidence rates and their trends in Brazilian states by gender and ratio, associations between contextual indicators in Fus, and the average annual percentage change of HIV/AIDS.

This study evaluates the last two decades of the pandemic to help to contextualize HIV/AIDS incidence rates regarding gender-related vulnerabilities and find conditions for which it would be possible to propose health practices and public policies that minimize inequalities.

METHODS

Study Design and Population

The incidence rates of HIV/AIDS in men and women aged 13 years or above were considered in this ecological study⁶6 Medronho RA. Estudos ecológicos. In: Medronho RA, Bloch KV, Luiz RR, Werneck GL, editores. Epidemiologia. 2nd ed. São Paulo: Atheneu; 2009. p. 265-74.. The cut-off point for the age group was based on the definition criteria for reporting the disease⁷7 Ministério da Saúde (BR). Secretaria de Vigilância em Saúde. Progrqama Nacional de DST e Aids.. Critérios de definição de casos de AIDS em adultos e crianças. Brasília, DF: Ministério da Saúde; 2004 [cited 2023 Feb 21]. (Série Manuais, n. 60). Available from: https://bvsms.saude.gov.br/bvs/publicacoes/criterios_definicao_AIDS_adultos_criancas.pdf
https://bvsms.saude.gov.br/bvs/publicaco... .

The study consisted of two stages: rate time series analysis⁸8 Morettin PA, Toloi CM. Análise de séries temporais. 2nd ed. São Paulo: Edgard Blücher; 2006. and evaluation of possible associations between the average rate percentage change and contextual factors.

Data Sources

Information on cases was obtained from the open-access Brazilian Notifiable Diseases Information System database⁹9 Ministério da Saúde (BR). DATASUS. Tabnet [cited 2023 Feb 10]. Available from: https://datasus.saude.gov.br/informacoes-de-saude-tabnet/
https://datasus.saude.gov.br/informacoes... . Variables were chosen according to notification period in each state and stratified by gender. Age groups from 13 years and above and the gender variable (stratified into man and women categories) were used. The variables self-reported race/color, schooling, and exposure hierarchy were used to characterize the sample.

Population data were obtained from projections and estimates from the demographic census of the Brazilian Institute of Geography and Statistics¹⁰10 Instituto Brasileiro de Geografia e Estatística. Projeções da população. Tabelas - 2013 [citado 2023 Feb 19]. Available from: https://www.ibge.gov.br/estatisticas/sociais/populacao/9109-projecao-da-populacao.html?edicao=9116
https://www.ibge.gov.br/estatisticas/soc... . Contextual variables were obtained from data from the United Nations Development Programme¹¹11 Programa das Nações Unidas para o Desenvolvimento, Instituto de Pesquisa Econômica Aplicada, Fundação João Pinheiro. Atlas do Desenvolvimento Humano do Brasil [cited 2022 Dec 12]. Available from: http://atlasbrasil.org.br
http://atlasbrasil.org.br... , the Institute for Applied Economic Research ¹²12 Instituto de Pesquisa Econômica Aplicada. Atlas da vulnerabilidade social nos municípios e regiões metropolitanas brasileiras [cited 2022 Dec 20]. Available from: http://ivs.ipea.gov.br
http://ivs.ipea.gov.br... , and the Brazilian Ministry of Health¹³13 Ministério da Saúde (BR). Departamento de HIV/Aids, Tuberculose, Hepatites Virais e Infecções Sexualmente Transmissíveis [cited 2023 Feb10]. Available from: https://www.gov.br/aids/
https://www.gov.br/aids/... .

The Municipal Human Development Index¹¹11 Programa das Nações Unidas para o Desenvolvimento, Instituto de Pesquisa Econômica Aplicada, Fundação João Pinheiro. Atlas do Desenvolvimento Humano do Brasil [cited 2022 Dec 12]. Available from: http://atlasbrasil.org.br
http://atlasbrasil.org.br... (HDI-M) has dimensionless measures from 0 to 1 that classify values from very high to very low, with values closer to 1 indicating greater human development. The Gini¹⁴14 Januzzi PM. Indicadores sociais no Brasil: conceitos, fontes de dados e aplicações. 2nd ed. Campinas: Alínea; 2003. and Social Vulnerability Indices¹²12 Instituto de Pesquisa Econômica Aplicada. Atlas da vulnerabilidade social nos municípios e regiões metropolitanas brasileiras [cited 2022 Dec 20]. Available from: http://ivs.ipea.gov.br
http://ivs.ipea.gov.br... (SVI) also contain measures from 0 to 1, in which higher values indicate more unfavorable conditions. The proportion of test distribution¹³13 Ministério da Saúde (BR). Departamento de HIV/Aids, Tuberculose, Hepatites Virais e Infecções Sexualmente Transmissíveis [cited 2023 Feb10]. Available from: https://www.gov.br/aids/
https://www.gov.br/aids/... refers to the ratio between the number of rapid HIV diagnostic tests distributed in each state and the total number of tests distributed in the country. Illiteracy rate¹⁴14 Januzzi PM. Indicadores sociais no Brasil: conceitos, fontes de dados e aplicações. 2nd ed. Campinas: Alínea; 2003. refers to the proportion of individuals aged 15 years or above among all those in the same age group who reported an inability to read or write. The proportion of late diagnoses¹⁵15 Ribeiro LC, Freitas MI, Tupinambás U, Lana FC. Late diagnosis of Human Immunodeficiency Virus infection and associated factors. Rev Lat Am Enfermagem. 2020;28. https://doi.org/10.1590/1518-8345.4072.3342
https://doi.org/10.1590/1518-8345.4072.3... refers to the proportion of individuals with results below 200 cells/mL among all HIV-infected individuals who underwent the first CD4+ T lymphocyte test and who were yet to begin treatment. The contextual indicators in this study refer to each Brazilian FU. The most recent available values were obtained for the studied period.

Temporal Analysis of HIV/AIDS Incidence Rates in Brazil

The time series analysis considered the years of the study period (January 1, 2000, to December 31, 2019) and the annual incidence rates of HIV/AIDS as independent and dependent variables, respectively. The number of reported cases of HIV/AIDS in each state and the population living in each state in the period by gender were considered to calculate incidence rates. Incidence rates were standardized by the direct method¹⁶16 Szklo M, Nieto J. Epidemiology beyond the basics. 4th ed. Boston: Jones and Bartlett Learning; 2018.. The ratio between the incidence rates for both genders was also analyzed by the ratios between the rates for men and those for women.

Polynomial regression models were used to relate incidence rates (Y) with time in years (X)

in which the statistical significance of β₂ corresponds to the quadratic term of the regression and indicates a better representation of the data by nonlinear relationships. For these analyses, the variable time (in years) was centralized to avoid data autocorrelation.

A joinpoint regression¹⁷17 Joinpoint Regression Program. Statistical Research and Applications Branch. Nacional Cancer Institute [cited 2023 Feb 17]. Available from: https://surveillance.cancer.gov/joinpoint/
https://surveillance.cancer.gov/joinpoin... was used to describe temporal evolution by inflection points indicating trend change. A model — given the observations (x₁, y₁),…,(x_n, y_n, ), in which x₁,≤…≤ x_n and with τ_k unknown junction points — can be written by

The inclusion of junction points was tested by the Monte Carlo permutation, which uses a sequence of tests from a sample of possible permutations with the Bonferroni correction¹⁸18 Kim HJ, Fay MP, Feuer EJ, Midthune DN. Permutation tests for joinpoint regression with applications to cancer rates. Stat Med. 2000. Feb; 19(3):335-51. https://doi.org/10.1002/(SICI)1097-0258(20000215)19:3<335::AID-SIM336>3.0.CO;2-Z
https://doi.org/10.1002/(SICI)1097-0258(... .

The annual (APC) and average annual percent changes (AAPC) for the whole period were obtained by this method. APC corresponds to a linear change in percentage rates, estimated on a logarithmic scale and considering that x₁,…,x_n represents the years of the studied period and y₁,…,y_n, the logarithm of the observed rates, in which log (T_y) refers to the logarithm of the rate in year y. The percentage change in rates from year y to year y + 1 corresponds to

Thus, the APC is the percentage obtained by exponentially increasing the difference between the regressions of each period and its preceding interval. The AAPC, in turn, corresponds to a summary measure of the trend over a fixed time interval that is calculated by the weighted average of APCs, in which weights equal the length of the interval.

In which b_i refers to the slope coefficient for the ith segment and w_i the length of each segment in the interval of years.

Association of AAPC with Contextual Indicators

The HIV and AIDS AAPC obtained in the temporal analysis was considered the dependent variable (Y) in the evaluation of possible associations between average percentage change in HIV/AIDS rates and contextual indicators. Contextual indicators were used as independent variables (X) in this study. Linear regression models were estimated for univariate and multiple analyses.

A 5%statistical significance was considered in the analyses, which were performed on R¹⁹19 R Core Team. R: a language and environment for statistical computing. R Foundation for Statistical Computing. Vienna (AT) [cited 2023 Feb 12]. Available from: https://www.R-project.org/
https://www.R-project.org/... , version 4.1.3, and Joinpoint Regression Program¹⁷17 Joinpoint Regression Program. Statistical Research and Applications Branch. Nacional Cancer Institute [cited 2023 Feb 17]. Available from: https://surveillance.cancer.gov/joinpoint/
https://surveillance.cancer.gov/joinpoin... , version 4.9.1.0.

Ethical Considerations

The use of secondary open-access data dispensed the submission of this study for consideration by the Research Ethics Committee²⁰20 Conselho Nacional de Saúde (BR). Resolução n.° 510 de 07 de abril de 2016 Diário Oficial União. 24 maio 2016..

RESULTS

Sociodemographic and epidemiological variables

A total of 498,543 cases of HIV/AIDS were diagnosed in men (64.01%) and 280,322 cases in women (35.99%) aged 13 years or above from 2000 to 2019. Men showed the highest rates: the lowest corresponds to 28.70/100,000 in 2006 and the highest, to 33.42/100,000 in 2000. The lowest rate in women totaled 7.84/100,000 in 2000 and the highest, 12.96/100,000 in 2009.

The population living with the disease (Table 1) shows a significant proportion of cases in young people and adults aged from 20 to 49 years (83.22 and 80.97% for men and women, respectively), and in individuals with incomplete primary education show a higher proportion, especially women (60.30%). Black and mixed-race individuals show a higher proportion (46.20% for men and 30.41% for women). Sexual transmission occurred most often, especially in heterosexuals of all genders, more so in women (59.93%). The “unknown” category showed important proportions for race/color (37.55% for men and 40.43% for women) and exposure hierarchy (42.57% for men and 36.72% for women).

Time Series Evolution

Trend analysis by FU (Table 2) shows a statistically significant upward trend (AAPC > 0) in incidence rates for Northern and Northeastern FUs in all genders and greater declining rate trends (AAPC < 0) in Southern and Southeastern FUs.

Ratio analysis by gender between incidence rates indicates a quadratic trend and the analysis by inflection points, a downward trend in the ratio between rates by gender (AAPC = −1.8; 95%CI −2.3 to −1.3). Gender ratios decreased from 2000 to 2008, slightly increasing from 2009 to 2019. The ratio of incidence rates between genders shows a statistically significant downward trend in 17 FUs, indicating an increase in the proportions of incidence rates in women in relation to men.

In Brazil, polynomial regression analyses (Figure 1) indicate a linear trend of decline in incidence rates in men and the analysis by inflection points showed a general downward trend in rates (AAPC = −0.6; 95%CI −1.1 to 0.0). The model for women shows a quadratic trend with an increase in incidence rates from 2000 to 2009 and a decline from 2010 to 2019. Segmented regression analysis shows a general upward trend in rates for the whole studied period (AAPC = 1.4; 95%CI 0.8 to 1.9).

Association of AAPC with Contextual Indicators

Among the statistically significant univariate models (Table 3), HDI-M showed the highest coefficient values for men and women (61.31 and 71.9, respectively). The univariate models for illiteracy rates, late diagnosis proportion, and SVI are directly associated with AAPC, whereas HDI-M and proportion of test distribution are inversely associated. The Gini Index showed no statistical significance.

The multiple model for men (Table 4) shows a statistical significance for illiteracy rates, HDI-M, and test distribution proportion. For women, only the HDI-M maintains statistical significance when combined with the other independent variables.

The analysis of the estimated coefficients for the multiple model for men indicates that the average annual percentage of HIV/AIDS rates decreases by 26% for each percentage increase in illiteracy rates. AAPC decreases by about 65% for every HDI-M increase (on a scale of 0 to 1). The average percentage change in the rates of the disease decreases by 39% for each percentage increase in test distribution proportion. Regarding women, AAPC decreases by about 83% for each increase from 0 to 1 in the HDI-M if conditioned to the other predictors in the complete model.

DISCUSSION

Variations in the ratios of incidence rates by gender show that the proportion of rates for men and women shows a general downward trend during the studied period. However, trends differ across states. Aspects such as social inequalities; vulnerabilities; trend changes; and the extent of the disease in different population segments, regions, and communities have been associated with differences in gender rates and locations³3 Ministério da Saúde (BR). Secretaria de Vigilância em Saúde. Bol Epidemiol HIV/Aids 2022. 2022 dez [cited 2023 Feb 20];N° Espec. Available from: https://www.gov.br/saude/pt-br/assuntos/noticias/2022/dezembro/arquivos/boletim_hiv_aids_-2022_internet_24-11_finalizado.pdf
https://www.gov.br/saude/pt-br/assuntos/... ,⁴4 Santos NJ, Barbosa RM, Pinho AA, Villela WV, Aidar T, Filipe EM. Contextos de vulnerabilidade para o HIV entre mulheres brasileiras. Cad Saude Publica. 2009;25 Suppl 2:S321-33. https://doi.org/10.1590/S0102-311X2009001400014
https://doi.org/10.1590/S0102-311X200900... . Studies on rate trends according to gender conducted in different Brazilian states show variations in the ratios of these variables, although the proportion of cases among men always exceeds that of women²¹21 Rodrigues IM, Faria BM, Marquez LV, Pires US, Rende VF, Silva WN, et al. Análise epidemiológica dos casos de Aids no Sudeste brasileiro de 2010 a 2019. Poblac Salud Mesoam. 2022;19(2). https://doi.org/15517/psm.v0i19.46802
https://doi.org/15517/psm.v0i19.46802... .

Studies on epidemic trends have found that rate changes coincide with the implementation of health policies and practices (i.e., treatment as prevention) aiming to interrupt the chain of transmission, implement prenatal testing (which has proven to be an important diagnostic opportunity for women of reproductive age), and establish compulsory notification for cases of HIV infection without an immunodeficiency diagnosis. Epidemiological trends are consistent with the benefits of early detection policies and diagnosed individuals’ access to therapeutic follow-up²²22 Pereira GF, Sabidó M, Caruso A, Benzaken AS. Decline in reported AIDS cases in Brazil after implementation of the test and treat initiative. BMC Infect Dis. 2019 Jul;19(1):579. https://doi.org/10.1186/s12879-019-4018-z
https://doi.org/10.1186/s12879-019-4018-... ,²³23 Siqueira PG, Miranda GM, Souza WV, Silva GA, Mendes AC. Hierarchical analysis of determinants of HIV vertical transmission: a case-control study. Rev Bras Saude Matern Infantil. 2020 Dec;20(4):985-95. https://doi.org/10.1590/1806-93042020000400005
https://doi.org/10.1590/1806-93042020000... .

This study found that HIV/AIDS incidence rates show higher magnitudes and greater upward trends in average rate variations in Northern and Northeastern states, whereas Southern and Southeastern states show lower rate magnitudes and declining trends. The epidemic, which began in São Paulo State, has geographically spread to Northern and Northeastern states since the 1990s, associated with migratory flows in border regions. This dispersion pattern involving complex social inequality dynamics contributed to the contours of the epidemic. Rate trends in these regions have become more pronounced²⁴24 Teixeira TR, Gracie R, Malta MS, Bastos FI. Social geography of AIDS in Brazil: identifying patterns of regional inequalities. Cad Saude Publica. 2014 Feb;30(2):259-71. https://doi.org/10.1590/0102-311X00051313
https://doi.org/10.1590/0102-311X0005131... .

The analysis of contextual indicators highlights different dimensions of inequalities across FUs. Results point to greater socioeconomic vulnerability in the Brazilian North and Northeast than in its South and Southeast. HDI-M is the indicator with the greatest association with annual rate percentage variation, showing statistical significance for both strata in all analyses and a more pronounced association for women. It is worth specifying that the large values of the coefficients estimated for this indicator in the multiple model can be derived from the HDI-M scale, which ranges from 0 (minimum) to 1 (maximum). Thus, the increase in one unit in the HDI-M variable is equivalent to a 100% increase in the scale, from the worst to the best condition. A study on temporal and spatial trends and social determinants of HIV/AIDS also found a positive association for HDI-M²⁵25 Werle JE, Teston EF, Rossi RM, Marcon SS, Sá JS, Frota OP, et al. HIV/AIDS and the social determinants of health: a time series study. Rev Bras Enferm. 2022 Apr;75(4):e20210499. https://doi.org/10.1590/0034-7167-2021-0499
https://doi.org/10.1590/0034-7167-2021-0... . This study found a statistically significant proportion of late diagnosis and SVI in its univariate analyses, which disappeared when combined with other contextual indicators. Another study showed a high prevalence of late diagnosis among men, pointing to persistent barriers in their access to health care (including HIV testing)²⁶26 MacCarthy S, Brignol S, Reddy M, Nunn A, Dourado I. Late presentation to HIV/AIDS care in Brazil among men who self-identify as heterosexual. Rev Saude Publica. 2016 Aug;50(0):54. https://doi.org/10.1590/S1518-8787.2016050006352
https://doi.org/10.1590/S1518-8787.20160... . Another study used SVI in its analysis of factors associated with tuberculosis, showing a greater association with rates in more vulnerable municipalities²⁷27 Paiva JPS, Magalhães MAFM, Leal TC, Silva LF, Silva LG, Carmo RF, et al. Time trend, social vulnerability, and identification of risk areas for tuberculosis in Brazil: an ecological study. PLoS One. 2022 Jan 25;17(1):e0247894. https://doi.org/10.1371/journal.pone.0247894
https://doi.org/10.1371/journal.pone.024... . Our results show a statistically significant proportion of test distribution and illiteracy rates in our univariate analyses for both strata, which only remained significant in the multiple analyses only for men. A study on the distribution of tests points to a significant increase since its implementation and better provision to states throughout the country²⁸28 Batista CJB. Avaliação da distribuição e do fluxo logístico dos testes rápidos para diagnóstico da infecção pelo HIV após 10 anos de oferta no Sistema Único de Saúde pelo Ministério da Saúde [dissertation]. Florianópolis: Universidade Federal de Santa Catarina; 2016.. Lower schooling rates configure a factor that impairs several health conditions and has been associated with higher number of HIV/AIDS diagnoses in Brazil²⁹29 Martinez G, Sessegolo CC, Monteiro POA. Incidência do diagnóstico de aids ao longo de 20 anos no Brasil e relação com escolaridade. Braz J Infect Dis. 2022;26(S1):101736 57. https://doi.org/10.1016/j.bjid.2021.101844
https://doi.org/10.1016/j.bjid.2021.1018... . Although the Gini Index showed no statistically significant association in our analyses, another study found an association between indicators of better socioeconomic conditions and HIV infection, suggesting inequality in access to the diagnosis of infection³⁰30 Paiva SS. Pedrosa Nl, Galvão MTG. Análise espacial da AIDS e os determinantes sociais da saúde. Rev Bras Epidemiol. 2019;22: E190032. https://doi.org/10.1590/1980-549720190032
https://doi.org/10.1590/1980-54972019003... .

This study found a predominance of cases and incidence rates, with higher magnitudes in men than in women and transmission primarily referring to sexual intercourse. These findings resemble official data from the Ministry of Health³3 Ministério da Saúde (BR). Secretaria de Vigilância em Saúde. Bol Epidemiol HIV/Aids 2022. 2022 dez [cited 2023 Feb 20];N° Espec. Available from: https://www.gov.br/saude/pt-br/assuntos/noticias/2022/dezembro/arquivos/boletim_hiv_aids_-2022_internet_24-11_finalizado.pdf
https://www.gov.br/saude/pt-br/assuntos/... and from studies on epidemiological profiles in Brazil³¹31 Tavares MP, Souza RF, Tavares AP, Vilela MF, Souza VF, Fontana AP, et al. Perfil epidemiológico da AIDS e infecção por HIV no Brasil: revisão bibliográfica. Braz Journ Health Review. 2021;4(1):786-90. https://doi.org/10.34119/bjhrv4n1-068
https://doi.org/10.34119/bjhrv4n1-068... . It is observed that case proportion remains higher in men over time (although the heterosexual route has become more pronounced), corroborating the case distribution profiles in this study. Recent studies point to an increase in incidence in younger age groups and those with low schooling, which may indicate behavioral changes related to preventive practices, differences in access to diagnosis, unequal availability of health services for the national population, and the role of race and ethnic identity as social determinants³²32 Granjeiro A. Da estabilização à reemergência: os desafios para o enfrentamento à epidemia de HIV/aids no Brasil. ABIA. Mito versus realidade sobre a resposta brasileira à epidemia de HIV e AIDS em 2016. Rio de Janeiro: Observatório Nacional de Políticas de AIDS; 2016 [cited 2023 Feb 20]. Available from: http://abiaids.org.br/wp-content/uploads/2016/07/Mito-vs-Realidade_HIV-e-AIDS_BRASIL2016.pdf
http://abiaids.org.br/wp-content/uploads... . Thus, finding the more vulnerable population segments and implementing targeted health actions can promote social equality and health equity and improve the profile of the epidemic in Brazil.

The limitations of this study include its use of a secondary quantitative database as it prohibits a qualitative investigation of the plurality of women's lives in Brazil, such as gender perceptions, sexual practices, and vulnerability contexts. Moreover, notification forms showed gaps regarding variables such as race/color and exposure hierarchy. Although time-series studies can observe the behavior of rates over time, analyses are subject to varying diagnostic criteria and the availability of robust and consistent data. However, the possibility of situating trends in their historical and social contexts can better explain the changing points. It should also be noted that, as this is an ecological study, it is impossible to make inferences at the individual level regarding results, but this restriction fails to compromise findings since the proposed objectives targeted the population level.

CONCLUSION

The epidemic has different contours according to gender. Despite the predominance of cases in men, the ratio between incidence rates by gender differs by region and period. HIV/AIDS cases are unlikely distributed in men and women, tending toward increasing incidence rates in women and containing a greater magnitude of the effect of the human development indicator in Brazil, which may point to an association between the increase in rates in women and gender-related vulnerabilities. It is important to think about public policies that consider these dimensions.

REFERENCES

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