Spatial distribution and temporal trends of AIDS in Brazil and regions between 2005 and 2020

Jefferson Felipe Calazans Batista Marília Ramalho Oliveira Débora Lorena Melo Pereira Maria Laura Sales da Silva Matos Isabela Teles de Souza Max Oliveira Menezes About the authors

ABSTRACT:

Objective:

To analyze the spatial distribution and the temporal trend of the AIDS incidence rate in Brazil from 2005 to 2020.

Methods:

This is an ecological, temporal, and spatial study on AIDS cases in Brazil. Data from the Notifiable Diseases Information System were stratified by year of diagnosis, region of the country/municipalities of residence, and age group (over 13 years). Incidence rates were calculated for temporal estimation using the Joinpoint model, as well as Spatial Empirical Bayes (SEB) for spatial distribution, using the Kernel density estimator.

Results:

The incidence rate in Brazil, in 2020, was 17.69 cases per 100 thousand inhabitants. The general trend (2005–2020) was decrease in Brazil (Annual Percent Change – APC=-2.0%), in the Southeast (APC=-4.4%) and South (APC=-3.0%) regions. The North (APC=2.3%) showed an increase trend, whereas the Southeast and Midwest regions were stationary (p>0.05). Brazil, Southeast, South, and Midwest regions showed a decrease trend in most age groups. The Northeast and North regions showed an increase in the age groups of 13–29 years and 13–24 years, respectively. The Kernel estimator showed clusters with SEB above 30/10 thousand inhabitants in the states of Paraíba, Sergipe, Alagoas, Pernambuco, São Paulo, Minas Gerais, Pará, Rio Grande do Sul, and Santa Catarina.

Conclusion:

Brazil, the Southeast, and South regions showed a decrease in the incidence rate, whereas the North region increased and the Northeast and Midwest regions were stationary. The Southeast, South, and Northeast regions presented the largest clusters of SEB.

Keywords:
Time series studies; AIDS; Spatial analysis; Epidemiology; Incidence

INTRODUCTION

Human immunodeficiency virus (HIV) infection and its acquired immunodeficiency syndrome (AIDS) are considered a serious global health issue. Many scholars classify them as an epidemic; others, as a pandemic, due to their presence in every region of the world11 Rachid M, Schechter M. Manual de HIV/AIDS. 10a ed. São Paulo: Thieme Revinter Publicações Ltda; 2017.,22 World Health Organization. HIV/AIDS [Internet]. 2020 [cited on June 20, 2022]. Available at: https://www.who.int/health-topics/hiv-aids/#tab=tab_1
https://www.who.int/health-topics/hiv-ai...
.

The global burden of people living with AIDS in 2019 was 36.9 million, which corresponds to 0.5% of the world population, with a prevalence of 476 cases per 100 thousand inhabitants. In addition, infection rates tend to increase in several regions such as North America, South America, Oceania, and Europe. It should be noted that these rates overlap with population growth despite prevention and treatment strategies33 Govender RD, Hashim MJ, Khan MA, Mustafa H, Khan G. Global epidemiology of HIV/AIDS: a resurgence in North America and Europe. J Epidemiol Glob Health 2021; 11(3): 296-301. https://doi.org/10.2991/jegh.k.210621.001
https://doi.org/10.2991/jegh.k.210621.00...
.

In Brazil, in 2020, approximately 29 thousand cases of AIDS were diagnosed, including 10,417 deaths due to this cause44 Brasil. Secretaria de Vigilância em Saúde. Ministério da Saúde. HIV/AIDS. Boletim Epidemiológico Especial [Internet]. 2021 [cited on June 25, 2022]. Available at: https://www.gov.br/saude/pt-br/centrais-de-conteudo/publicacoes/boletins/boletins-epidemiologicos/especiais/2021/boletim-epidemiologico-especial-hiv-aids-2021.pdf/view
https://www.gov.br/saude/pt-br/centrais-...
. The Brazilian epidemic profile follows a global pattern, in which the prevalence is higher for specific population groups such as gays, bisexuals, homosexuals, and transgender women55 Ferreira RC, Torres TS, Ceccato MGB, Bezerra DR, Thombs BD, Luz PM, et al. Development and evaluation of short-form measures of the HIV/AIDS knowledge assessment tool among sexual and gender minorities in Brazil: cross-sectional study. JMIR Public Health Surveill 2022; 8(3): e30676. https://doi.org/10.2196/30676
https://doi.org/10.2196/30676...
.

In this context, international agreements support the reduction in the number of AIDS, with projections for 2030. Thus, since 2016, the 90-90-90 global target has been developed, namely: 90% of people living with AIDS should know their HIV status; 90% of those diagnosed should be receiving treatment; and 90% of people undergoing treatment should have suppressed viral loads66 Assembleia Geral das Nações Unidas. Reunião de alto nível sobre o fim da AIDS. Resolução adotada pela Assembleia Geral em 7 de junho de 2016. Declaração política sobre HIV e AIDS: acelerar a resposta para lutar contra o HIV e acabar com a epidemia de AIDS até 2030 [Internet]. 2016 [cited on June 25, 2022]. Available at: https://unaids.org.br/wp-content/uploads/2016/11/2016_Declaracao_Politica_HIVAIDS.pdf
https://unaids.org.br/wp-content/uploads...
. However, these goals were not achieved, as in 2019 only 81% of people living with the virus knew their HIV status; just over 60% of individuals had access to treatment; and 59% individuals became “undetectable”77 UNAIDS. 90–90–90: bom progresso, mas o mundo está longe de atingir as metas de 2020 [Internet]. UNAIDS Brasil 2020 [cited on June 25, 2022]. Available at: https://unaids.org.br/2020/09/90-90-90-bom-progresso-mas-o-mundo-esta-longe-de-atingir-as-metas-de-2020/
https://unaids.org.br/2020/09/90-90-90-b...
.

This type of data demonstrate the critical context of AIDS as well as the difficulty in achieving the goals proposed by the United Nations (UN) for 2030. The multifactorial aspects that contribute to differences in the distribution of the virus/disease in the population at both social and economic levels are noteworthy. The risk of infection and access to treatment, for instance, are affected by homophobia, racism, social inequalities, and lack of services aimed at vulnerable groups. In underdeveloped countries, even more precarious situations are observed due to the lack of testing and treatment for infected people, which consequently increases the incidence, prevalence, and mortality from the disease88 Staupe-Delgado R, Rubin O. Living through and with the global HIV/AIDS pandemic: distinct ‘pandemic practices’ and temporalities. Soc Sci Med 2022; 114809. https://doi.org/10.1016/j.socscimed.2022.114809
https://doi.org/10.1016/j.socscimed.2022...
.

The increase in the incidence of AIDS cases is an alarming finding, especially within the Brazilian context, which has had public investments for decades to prevent and mitigate damages related to this infection. In addition, Brazil has a large database for health surveillance, a fact that allows us to understand the behavior of the condition from a spatial and temporal perspective. Hence, conducting research that promotes the continuous discussion on this condition is essential, thus supporting the updating and expansion of public health policies. In this study we aim to analyze the spatial distribution and the temporal trend of the AIDS incidence rate in Brazil from 2005 to 2020.

METHODS

This is an ecological study with spatial and temporal analysis, with a quantitative approach, descriptive and exploratory in nature, which used data on confirmed AIDS cases in Brazil and its regions from 2005 to 2020. Data were collected from the Notifiable Diseases Information System (Sistema de Informação de Agravos de Notificação – SINAN), available from the Information Technology Department of the Brazilian Unified Health System (DATASUS), accessed via the TABNET tabulator.

For the present study, a temporal analysis from 2005 onwards was considered, as the data referring to AIDS cases from SINAN alone were aggregated into the cases of the Mortality Information System (Sistema de Informação sobre Mortalidade – SIM) and those from the Control System for Laboratory Tests of the National CD4+/CD8+ Lymphocyte Count and HIV Viral Load Network (Sistema de Controle de Exames Laboratoriais de CD4+/CD8+ e Carga Viral do HIV – SISCEL) in 200499 Gonçalves VF, Kerr LRFS, Mota RMS, Mota JMA. Estimativa de subnotificação de casos de aids em uma capital do Nordeste. Rev Bras Epidemiol 2008; 11(3): 356-64. https://doi.org/10.1590/S1415-790X2008000300003
https://doi.org/10.1590/S1415-790X200800...
.

The variables selected for analysis were: year of diagnosis (from 2005 to 2020), region of residence in Brazil (North, Northeast, Southeast, South, Midwest, and Brazil), and age group over 13 years, as it characterizes an adult AIDS case1010 Brasil. Sistema de Informação de Agravos de Notificação. AIDS adulto [Internet]. 2022 [cited on Sept. 16, 2022]. Available at: http://www.portalsinan.saude.gov.br/aids-adulto
http://www.portalsinan.saude.gov.br/aids...
.

The AIDS incidence rate (IR) was estimated by region of the country and age group, using the following formula:

IR= N of AIDS in a given place, period and age grouppopulation residing in the same place, period and age group×100,000

The intercensal estimates from the Brazilian Institute of Geography and Statistics (IBGE), from 2005 to 2020, were used as population base for the calculation1111 Instituto Brasileiro de Geografia e Estatística. Projeção da população do Brasil e das Unidades da Federação [Internet]. 2021 [cited on Oct. 18, 2021]. Available at: https://www.ibge.gov.br/apps/populacao/projecao/index.html
https://www.ibge.gov.br/apps/populacao/p...
.

To estimate the trend, the Joinpoint1212 National Cancer Institute. Division of Cancer Control & Population Sciences. Surveillance Research Program. Joinpoint trend analysis software [Internet]. 2022 [cited on June 30, 2022]. Available at: https://surveillance.cancer.gov/joinpoint/
https://surveillance.cancer.gov/joinpoin...
regression model was adopted, which allows analyzing temporal trends (incidence rate, mortality, survival, or prevalence). The test is based on the Monte Carlo permutation method, in which several trend models are estimated and the one that best represents the observed pattern is chosen1313 Kim HJ, Fay MP, Feuer EJ, Midthune DN. Permutation tests for joinpoint regression with applications to cancer rates. Stat Med 2000; 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(...
.

Thus, for using the model, AIDS incidence rates (according to age group and region of the country) were considered as the dependent variable; and the years, as the independent variable. The model was adjusted by logarithmic transformation of the dependent variable {In(y)=xb}; the standard error of the incidence rate, calculated according to indications in the literature1414 Li HZ, Du LB. Application of Joinpoint regression model in cancer epidemiological time trend analysis. Zhonghua Yu Fang Yi Xue Za Zhi 2020; 54(8): 908-12. https://doi.org/10.3760/cma.j.cn112150-20200616-00889
https://doi.org/10.3760/cma.j.cn112150-2...
; and by correcting the first-order autocorrelation estimated from the data. The results are presented as annual percent change (APC). For the present study, APC values throughout the analysis period (2005–2020) were considered. Positive or negative values, when statistically significant (p<0.05), indicate increase and decrease trends, respectively, while non-significant values indicate a stationary pattern1313 Kim HJ, Fay MP, Feuer EJ, Midthune DN. Permutation tests for joinpoint regression with applications to cancer rates. Stat Med 2000; 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(...
.

For spatial analysis, the Kernel density estimator was adopted. This estimate is a set of nonparametric statistical procedures that generate a density surface by smoothing points, forming “hot spots” that indicate clusters in a geographical distribution1515 Bailey TC, Gatrell AC. Interactive spatial data analysis. Essex: Longman Scientific & Technical; 1995.. The points were produced from the centroids of the municipalities. Spatial Empirical Bayes (SEB) were used to draw the map. These rates are intended to reduce the variability of the estimates, restricting random fluctuation. According to Carvalho et al.1616 Carvalho AXY, Silva GDM, Almeida Júnior GR, Albuquerque PHM. Taxas bayesianas para o mapeamento de homicídios nos municípios brasileiros. Cad Saúde Pública 2012; 28(7): 1249-62. https://doi.org/10.1590/S0102-311X2012000700004
https://doi.org/10.1590/S0102-311X201200...
, the SEB is more appropriate for maps with large regional differences or many polygons, as it considers the neighborhood matrix (local average).

The cartographic base (territorial meshes) was provided by IBGE in the 2020 version. The projection corresponded to the Universal Transverse Mercator (UTM) coordinate system, using the Geocentric Reference System for the Americas 2000 model.

The Joinpoint Regression Program version 4.8.0.1 (Surveillance Research Program, 2022) was adopted for trend calculations The Kernel estimator was performed using the QGIS 4.24 Tisler software1717 QGIS Development Team. QGIS User Guide, Release 3.8: QGIS Project [Internet]. 2019 [cited on June 30, 2022]. Available at: https://blog.qgis.org/2022/10/25/qgis-3-28-firenze-is-released/
https://blog.qgis.org/2022/10/25/qgis-3-...
. To generate the SEB, the GeoDA 1.20 software was used. The confidence interval (CI) of 95% and the significance level of 5% (p<0.05) were adopted for all estimates.

This study is exempt from assessment of the Research Ethics Committee because it has, as a source of information, publicly accessible secondary data that do not address information at an individual level. However, all the precepts and guidelines presented in Resolution No. 510, of 2016, of the National Commission for Research Ethics (CONEP)1818 Brasil. Conselho Nacional de Saúde. Resolução no 510, de 07 de abril de 2016 [Internet]. 2016 [cited on June 30, 2022]. Available at: http://conselho.saude.gov.br/resolucoes/2016/Reso510.pdf
http://conselho.saude.gov.br/resolucoes/...
were respected.

RESULTS

Over the 16 years of the present study, Brazil recorded 623,158 cases of AIDS. The Southeast region accounted for 42.7% (n=266,086) of the total, followed by the South, with 20.9% (n=130,533); the Northeast, with 20.2% (n=126,189); the North, with 9.2% (n=57,384); and the Midwest, with 69% (n=42,966).

The highest AIDS incidence rates were recorded in the South, followed by the North, Brazil, Southeast, Midwest, and Northeast (Table 1, Figure 1 Supplementary Material).

Table 1
Number of cases and incidence rate of AIDS in Brazil and its regions from 2005 to 2020.
Figure 1
Kernel density map of Spatial Empirical Bayes of AIDS in the period from 2005 to 2020.

The temporal trend in the incidence rate of AIDS in Brazil was decrease in the general group and in the 30–34, 35–39, 40–49, and 50–59 age groups. The Southeast and South regions were the only regions with a predominance of decrease in the trend; the first showed this pattern in almost all age groups. In the Northern region, we found a general increase trend, and we verified this increase pattern also in the younger age groups (up to 25–29 years). In the Northeast, the general trend was stationary, with an increase in the 13–9, 20–24, 50–59, and 60+ age groups; in addition, we verified decrease only the 35–39 age group. The Midwest showed increase in the 20–24 age group and a decrease in the 30–34, 35–39, and 40–49 age groups (Table 2).

Table 2
Temporal trend of the AIDS incidence rate, according to age group, in Brazil and its regions from 2005 to 2020.

In Figure 1 we show the Kernel Density Map of SEB in Brazil. We can observe that the South, Southeast, and Northeast regions exhibit large conglomerates, with SEB above 31.51 cases/10 thousand inhabitants. The lowest coefficients are distributed in the North and Midwest regions. States, such as Paraíba, Sergipe, Alagoas, Pernambuco, São Paulo, Minas Gerais, Pará, Rio Grande do Sul, and Santa Catarina, have the highest indicators.

DISCUSSION

In this research, we identified a high number of AIDS cases in Brazil in the 16 years investigated. The highest incidence rates were respectively in the South, North, Brazil, Southeast, Midwest, and Northeast. We found that the temporal trend was decrease in Brazil and in all regions, except for the North and Northeast.

This reduction in the incidence rate represents the positivity of the work that began in the 1980s, when the first cases of AIDS were recorded in Brazil — when the National STD/AIDS Policy was created by the Brazilian Ministry of Health, and the country stood out by providing antiretroviral therapies (ART) to the entire population. The use and evolution of these drugs, in addition to reducing the transmission of the disease, reduced mortality and improved the quality of life of the affected individuals1919 Almeida AIS, Ribeiro JM, Bastos FI. Análise da política nacional de DST/Aids sob a perspectiva do modelo de coalizões de defesa. Ciênc Saúde Coletiva 2022; 27(3): 837-48. https://doi.org/10.1590/1413-81232022273.45862020
https://doi.org/10.1590/1413-81232022273...
,2020 Lacerda JS, Paulo RG, Aoyama EA, Rodrigues GMM. Evolução medicamentosa do HIV no Brasil desde o AZT até o coquetel disponibilizado pelo sistema único de saúde. ReBIS 2019; 1(4): 83-91..

It is known that underdeveloped and developing countries present significant difficulties in preventing and treating the disease, especially due to political, social, and economic issues, which are directly reflected in healthcare systems. Hence, there are enormous challenges for public health managers and professionals33 Govender RD, Hashim MJ, Khan MA, Mustafa H, Khan G. Global epidemiology of HIV/AIDS: a resurgence in North America and Europe. J Epidemiol Glob Health 2021; 11(3): 296-301. https://doi.org/10.2991/jegh.k.210621.001
https://doi.org/10.2991/jegh.k.210621.00...
,2121 Oster AM, France AM, Mermin J. Molecular epidemiology and the transformation of HIV prevention. JAMA 2018; 319(16): 1657-8. https://doi.org/10.1001/jama.2018.1513
https://doi.org/10.1001/jama.2018.1513...
, especially due to the consolidation of prevention measures, as well as the effectiveness of ART, which can improve the health and survival of individuals living with AIDS2222 Szwarcwald CL, Souza Júnior PRB, Pascom ARP, Coelho RA, Ribeiro RA, Damacena GN, et al. HIV incidence estimates by sex and age group in the population aged 15 years or over, Brazil, 1986-2018. Rev Soc Bras Med Trop 2022; 55(suppl 1): e0231. https://doi.org/10.1590/0037-8682-0231-2021
https://doi.org/10.1590/0037-8682-0231-2...
.

Brazil, despite facing the aforementioned difficulties, formulated public policies from 2000 onwards with the objective of reducing inequities, which contributed to the reduction of incidence, hospitalization, and mortality indicators2323 Morais GAS, Magno L, Silva AF, Guimarães NS, Ordoñez JA, Souza LE, et al. Effect of a conditional cash transfer programme on AIDS incidence, hospitalisations, and mortality in Brazil: a longitudinal ecological study. Lancet HIV 2022; 9(10): e690-9. https://doi.org/10.1016/S2352-3018(22)00221-1
https://doi.org/10.1016/S2352-3018(22)00...
. In addition, efforts to expand testing, treatment availability, and awareness in the Brazilian territory may also have contributed to the reduction of these indicators. In the meantime, the relevance of lower rates among young women is also highlighted, a possible reflection of health initiatives directed at women with a gynecological and obstetric focus2222 Szwarcwald CL, Souza Júnior PRB, Pascom ARP, Coelho RA, Ribeiro RA, Damacena GN, et al. HIV incidence estimates by sex and age group in the population aged 15 years or over, Brazil, 1986-2018. Rev Soc Bras Med Trop 2022; 55(suppl 1): e0231. https://doi.org/10.1590/0037-8682-0231-2021
https://doi.org/10.1590/0037-8682-0231-2...
, which increases the detection rate of the disease.

In the Northern region, we found an increase in the incidence rate in the general group and in younger age groups up to 29 years. This fact may be related to the higher risk behavior of these groups, such as the increase in the number of sexual partners, the nonuse of condoms, and the increase in the number of illicit drugs2424 Guimarães MDC, Kendall C, Magno L, Rocha GM, Knauth DR, Leal AF, et al. Comparing HIV risk-related behaviors between 2 RDS national samples of MSM in Brazil, 2009 and 2016. Medicine (Baltimore) 2018; 97(1S Suppl 1):S62-8. https://doi.org/10.1097/MD.0000000000009079
https://doi.org/10.1097/MD.0000000000009...
.

Most of the young population is composed of students, especially with a higher education level. The Centers for Disease Control and Prevention (CDC) organization states that the number of college students diagnosed with AIDS increases by 30 to 50% every year2525 Li G, Jiang Y, Zhang L. HIV upsurge in China’s students. Science 2019; 364(6442): 711. https://doi.org/10.1126/science.aay0799
https://doi.org/10.1126/science.aay0799...
. In Brazil, although there are no epidemiological data on the incidence of this condition in the university population, several studies show that these individuals are more susceptible to the disease due to risky behaviors and low knowledge of prevention measures such as condom use2626 Wongkongdech R, Chanthamath S, Wongkongdech A. Knowledge, attitude and prevention behavior related to HIV/AIDS among students of a college in Lao-PDR: a cross-sectional study. F1000Research 2020; 9: 181. https://doi.org/10.12688/f1000research.22306.1
https://doi.org/10.12688/f1000research.2...

27 Sun X, Fan L, Chang C, Shi Y. HIV/AIDS related perception and behavior: a comparative study among college students of different majors in China. Int J Nurs Sci 2020; 7(Suppl 1): S74-9. https://doi.org/10.1016/j.ijnss.2020.07.010
https://doi.org/10.1016/j.ijnss.2020.07....
-2828 Silva LHF, Andrade SSC, Oliveira SHS, Matos SDO, Silva MLN, Diniz ERS. Risco à infecção pelo HIV/AIDS entre estudantes de ensino superior. Rev Enferm UFPE on line. 2016; 10(5): 1781-8. .

Furthermore, researchers highlight sexuality issues (homosexual transmission) that are identified as predictors for younger individuals, considering the lack of knowledge of important information about the disease, which results in its late diagnosis2929 Tiruneh K, Wasie B, Gonzalez H. Sexual behavior and vulnerability to HIV infection among seasonal migrant laborers in Metema district, northwest Ethiopia: a cross-sectional study. BMC Public Health 2015; 15: 122. https://doi.org/10.1186/s12889-015-1468-0
https://doi.org/10.1186/s12889-015-1468-...
. Another factor that may explain this increase concerns the lack of access to diagnostic methods or is a reflection of the inadequate control of the epidemic in the North of the country3030 Taquette SR, Rodrigues NCP. Human immunodeficiency virus/acquired immunodeficiency syndrome epidemic in adolescents from a Brazilian metropolis (1978-2017). Rev Soc Bras Med Trop 2019; 52: e20190193. https://doi.org/10.1590/0037-8682-0193-2019
https://doi.org/10.1590/0037-8682-0193-2...
. Therefore, there is an urgent need to intensify education initiatives aimed at this population, especially those who present greater risks, in addition to the indiscriminate and facilitated provision of preventive methods.

Despite this context, religious and conservative views have prevented sexual education activities in schools, which may increase the rates of unsafe sex among young people and the lack of risk perception. This represents a major challenge for public policies aimed at controlling the epidemic in Brazil. Updates to these estimates will allow professionals to monitor the progress and plan effective interventions. Moreover, depending on the granularity of the data, the model can be used to derive estimates on other subpopulations and focus interventions on the most challenging population groups at subnational levels2222 Szwarcwald CL, Souza Júnior PRB, Pascom ARP, Coelho RA, Ribeiro RA, Damacena GN, et al. HIV incidence estimates by sex and age group in the population aged 15 years or over, Brazil, 1986-2018. Rev Soc Bras Med Trop 2022; 55(suppl 1): e0231. https://doi.org/10.1590/0037-8682-0231-2021
https://doi.org/10.1590/0037-8682-0231-2...
.

Overall, the more advanced age groups showed a reduction in the incidence rate, with the exception of the Northeast, where there was an increase pattern in the age groups over 50 years. Although we observed this pattern in only one region of the country, it does not differ from that found in other studies. Research conducted in China found an increase trend among men and women aged over 35 years, and the projection for the next five years (2019–2023) also showed an increase in incidence3131 Lu Z, Ji W, Yin Y, Jin X, Wang L, Li Z, et al. Analysis on the trend of AIDS incidence in Zhejiang, China based on the age-period-cohort model (2004–2018). BMC Public Health 2021; 21(1): 1077. https://doi.org/10.1186/s12889-021-11050-x
https://doi.org/10.1186/s12889-021-11050...
.

These findings can be explained by health inequities and risky behaviors. A research conducted in South Korea, which evaluated sexual behavior and sexually transmitted infections (STIs) in older adults, identified active sexual activity with multiple partners and low adherence to condom use3232 Kim HY, Choe HS, Lee DS, Yoo JM, Lee SJ. Sexual behavior and sexually transmitted infection in the elderly population of South Korea. Investig Clin Urol 2019; 60(3): 202-9. https://doi.org/10.4111/icu.2019.60.3.202
https://doi.org/10.4111/icu.2019.60.3.20...
. Another study shows that health professionals perceive older adults as asexual and that, at the level of primary health care, the request for serological tests is uncommon, especially for this population, which results in a late diagnosis of the disease, which occurs at the secondary and tertiary levels of health care3333 Alencar RA, Ciosak SI. Aids in the elderly: reasons that lead to late diagnosis. Rev Bras Enferm 2016; 69(6): 1076-81. http://dx.doi.org/10.1590/0034-7167-2016-0370
http://dx.doi.org/10.1590/0034-7167-2016...
.

The level of education is also a point of interest when it comes to prevention. People with low level of education have limited capacity to understand knowledge of diseases and their preventive methods. This is also linked to the socioeconomic condition, which influences access to information, health, and the prevention of health issues among older adults3434 Silva HR, Marreiros MOC, Figueiredo TS, Figueiredo MLF. Características clínico-epidemiológicas de pacientes idosos com aids em hospital de referência, Teresina-PI, 1996 a 2009. Epidemiol Serv Saúde 2011; 20(4): 499-507. http://dx.doi.org/10.5123/S1679-49742011000400009
http://dx.doi.org/10.5123/S1679-49742011...
. In 2019, the Northeast had the highest illiteracy rates in Brazil, with 13.9%, according to IBGE3535 Instituto Brasileiro de Geografia e Estatística. Educa. Conheça o Brasil. População. Educação [Internet]. 2020 [cited on Oct. 20, 2021]. Available at: https://educa.ibge.gov.br/jovens/conheca-o-brasil/populacao/18317-educacao.html#:∼:text=Um%20dado%20importante%20sobre%20educa%C3%A7%C3%A3o,havia%20sido%206%2C8%25
https://educa.ibge.gov.br/jovens/conheca...
. Of these individuals, over 37% are older adults3636 Sociedade Brasileira de Geriatria e Gerontologia. Associação Médica Brasileira. Analfabetismo e a pessoa idosa: a realidade do país [Internet]. 2022 [cited on Oct. 22, 2022]. Available at: https://sbgg.org.br/analfabetismo-e-a-pessoa-idosa-a-realidade-do-pais/
https://sbgg.org.br/analfabetismo-e-a-pe...
. Thus, in addition to deficits in the perception of professionals in the implementation of preventive and diagnostic actions in the older adult population, limited knowledge and education, associated with social, cultural, and economic factors, may influence the outcome of the disease.

We found larger spatial conglomerates in the Southeast, South, and Northeast regions. The spatial distribution of AIDS in Brazil differs between regions. A study conducted in the state of Ceará shows that AIDS is more prevalent in cities with higher family income and, therefore, may be more associated with the risk-taking behavior of modern life than with factors related to poverty3737 Paiva SS, Pedrosa NL, Galvão MTG. Análise espacial da AIDS e os determinantes sociais de saúde. Rev Bras Epidemiol 2019; 22: e190032. https://doi.org/10.1590/1980-549720190032
https://doi.org/10.1590/1980-54972019003...
.

However, given the complex spatial heterogeneity of the country, some locations may have a greater effect of socioeconomic factors on the incidence of the condition. The Northeast and the North regions have a moderate association between the occurrence of AIDS and urbanization, in addition to the correlation with inequality, vulnerability, and income3838 Alves ATJ, Nobre FF, Waller LA. Exploring spatial patterns in the associations between local AIDS incidence and socioeconomic and demographic variables in the state of Rio de Janeiro, Brazil. Spat Spatiotemporal Epidemiol 2016; 17: 85-93. https://doi.org/10.1016/j.sste.2016.04.008
https://doi.org/10.1016/j.sste.2016.04.0...
.

In this context, it is known that Primary Health Care (PHC) plays an extremely important role in promoting the health of the Brazilian population, in such a way that investments in this strategy for AIDS prevention are essential. Health professionals in the PHC must pay attention to this condition, which, due to treatment, has become a chronic disease, as well as to eliminate prejudices, welcome these older people, provide health education, among many actions3939 Araújo EF, Albuquerque JM, Farias NSG, Vetorazo JVP. Ações preventivas em enfermagem ao HIV/AIDS na atenção primária de saúde. Revista Eletrônica Acervo Enfermagem 2021; 15(1): e9047. https://doi.org/10.25248/REAEnf.e9047.2021
https://doi.org/10.25248/REAEnf.e9047.20...
.

Studies on aggregated data are important for the epidemiological assessment of health issues, which can support the recognition of the scenario by managers and professionals, assist in decision-making and in the review of public policies and health actions, especially for the nursing team that plays crucial roles in the management, prevention, and treatment of individuals with AIDS in the primary, secondary, or tertiary care levels.

This study has limitations such as the presence of underreporting and the quality of the data used in the research. Publicly accessible secondary data suffer from loss, omission, and flaws in identifying and completing the notification form, which may underestimate or overestimate the presented information. Another limitation is the analysis time, considering that several changes can occur over a long period, such as 16 years. The temporal and spatial analysis of large regions does not allow considering the specificities of each location and time, especially in a country such as Brazil, with continental dimensions and clear differences between regions.

  • ETHICS COMMITTEE: The study was exempt from approval of the Research Ethics Committee for using publicly accessible secondary data.
  • FUNDING: none.

REFERENCES

  • 1
    Rachid M, Schechter M. Manual de HIV/AIDS. 10a ed. São Paulo: Thieme Revinter Publicações Ltda; 2017.
  • 2
    World Health Organization. HIV/AIDS [Internet]. 2020 [cited on June 20, 2022]. Available at: https://www.who.int/health-topics/hiv-aids/#tab=tab_1
    » https://www.who.int/health-topics/hiv-aids/#tab=tab_1
  • 3
    Govender RD, Hashim MJ, Khan MA, Mustafa H, Khan G. Global epidemiology of HIV/AIDS: a resurgence in North America and Europe. J Epidemiol Glob Health 2021; 11(3): 296-301. https://doi.org/10.2991/jegh.k.210621.001
    » https://doi.org/10.2991/jegh.k.210621.001
  • 4
    Brasil. Secretaria de Vigilância em Saúde. Ministério da Saúde. HIV/AIDS. Boletim Epidemiológico Especial [Internet]. 2021 [cited on June 25, 2022]. Available at: https://www.gov.br/saude/pt-br/centrais-de-conteudo/publicacoes/boletins/boletins-epidemiologicos/especiais/2021/boletim-epidemiologico-especial-hiv-aids-2021.pdf/view
    » https://www.gov.br/saude/pt-br/centrais-de-conteudo/publicacoes/boletins/boletins-epidemiologicos/especiais/2021/boletim-epidemiologico-especial-hiv-aids-2021.pdf/view
  • 5
    Ferreira RC, Torres TS, Ceccato MGB, Bezerra DR, Thombs BD, Luz PM, et al. Development and evaluation of short-form measures of the HIV/AIDS knowledge assessment tool among sexual and gender minorities in Brazil: cross-sectional study. JMIR Public Health Surveill 2022; 8(3): e30676. https://doi.org/10.2196/30676
    » https://doi.org/10.2196/30676
  • 6
    Assembleia Geral das Nações Unidas. Reunião de alto nível sobre o fim da AIDS. Resolução adotada pela Assembleia Geral em 7 de junho de 2016. Declaração política sobre HIV e AIDS: acelerar a resposta para lutar contra o HIV e acabar com a epidemia de AIDS até 2030 [Internet]. 2016 [cited on June 25, 2022]. Available at: https://unaids.org.br/wp-content/uploads/2016/11/2016_Declaracao_Politica_HIVAIDS.pdf
    » https://unaids.org.br/wp-content/uploads/2016/11/2016_Declaracao_Politica_HIVAIDS.pdf
  • 7
    UNAIDS. 90–90–90: bom progresso, mas o mundo está longe de atingir as metas de 2020 [Internet]. UNAIDS Brasil 2020 [cited on June 25, 2022]. Available at: https://unaids.org.br/2020/09/90-90-90-bom-progresso-mas-o-mundo-esta-longe-de-atingir-as-metas-de-2020/
    » https://unaids.org.br/2020/09/90-90-90-bom-progresso-mas-o-mundo-esta-longe-de-atingir-as-metas-de-2020/
  • 8
    Staupe-Delgado R, Rubin O. Living through and with the global HIV/AIDS pandemic: distinct ‘pandemic practices’ and temporalities. Soc Sci Med 2022; 114809. https://doi.org/10.1016/j.socscimed.2022.114809
    » https://doi.org/10.1016/j.socscimed.2022.114809
  • 9
    Gonçalves VF, Kerr LRFS, Mota RMS, Mota JMA. Estimativa de subnotificação de casos de aids em uma capital do Nordeste. Rev Bras Epidemiol 2008; 11(3): 356-64. https://doi.org/10.1590/S1415-790X2008000300003
    » https://doi.org/10.1590/S1415-790X2008000300003
  • 10
    Brasil. Sistema de Informação de Agravos de Notificação. AIDS adulto [Internet]. 2022 [cited on Sept. 16, 2022]. Available at: http://www.portalsinan.saude.gov.br/aids-adulto
    » http://www.portalsinan.saude.gov.br/aids-adulto
  • 11
    Instituto Brasileiro de Geografia e Estatística. Projeção da população do Brasil e das Unidades da Federação [Internet]. 2021 [cited on Oct. 18, 2021]. Available at: https://www.ibge.gov.br/apps/populacao/projecao/index.html
    » https://www.ibge.gov.br/apps/populacao/projecao/index.html
  • 12
    National Cancer Institute. Division of Cancer Control & Population Sciences. Surveillance Research Program. Joinpoint trend analysis software [Internet]. 2022 [cited on June 30, 2022]. Available at: https://surveillance.cancer.gov/joinpoint/
    » https://surveillance.cancer.gov/joinpoint/
  • 13
    Kim HJ, Fay MP, Feuer EJ, Midthune DN. Permutation tests for joinpoint regression with applications to cancer rates. Stat Med 2000; 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(20000215)19:3<335::aid-sim336>3.0.co;2-z
  • 14
    Li HZ, Du LB. Application of Joinpoint regression model in cancer epidemiological time trend analysis. Zhonghua Yu Fang Yi Xue Za Zhi 2020; 54(8): 908-12. https://doi.org/10.3760/cma.j.cn112150-20200616-00889
    » https://doi.org/10.3760/cma.j.cn112150-20200616-00889
  • 15
    Bailey TC, Gatrell AC. Interactive spatial data analysis. Essex: Longman Scientific & Technical; 1995.
  • 16
    Carvalho AXY, Silva GDM, Almeida Júnior GR, Albuquerque PHM. Taxas bayesianas para o mapeamento de homicídios nos municípios brasileiros. Cad Saúde Pública 2012; 28(7): 1249-62. https://doi.org/10.1590/S0102-311X2012000700004
    » https://doi.org/10.1590/S0102-311X2012000700004
  • 17
    QGIS Development Team. QGIS User Guide, Release 3.8: QGIS Project [Internet]. 2019 [cited on June 30, 2022]. Available at: https://blog.qgis.org/2022/10/25/qgis-3-28-firenze-is-released/
    » https://blog.qgis.org/2022/10/25/qgis-3-28-firenze-is-released/
  • 18
    Brasil. Conselho Nacional de Saúde. Resolução no 510, de 07 de abril de 2016 [Internet]. 2016 [cited on June 30, 2022]. Available at: http://conselho.saude.gov.br/resolucoes/2016/Reso510.pdf
    » http://conselho.saude.gov.br/resolucoes/2016/Reso510.pdf
  • 19
    Almeida AIS, Ribeiro JM, Bastos FI. Análise da política nacional de DST/Aids sob a perspectiva do modelo de coalizões de defesa. Ciênc Saúde Coletiva 2022; 27(3): 837-48. https://doi.org/10.1590/1413-81232022273.45862020
    » https://doi.org/10.1590/1413-81232022273.45862020
  • 20
    Lacerda JS, Paulo RG, Aoyama EA, Rodrigues GMM. Evolução medicamentosa do HIV no Brasil desde o AZT até o coquetel disponibilizado pelo sistema único de saúde. ReBIS 2019; 1(4): 83-91.
  • 21
    Oster AM, France AM, Mermin J. Molecular epidemiology and the transformation of HIV prevention. JAMA 2018; 319(16): 1657-8. https://doi.org/10.1001/jama.2018.1513
    » https://doi.org/10.1001/jama.2018.1513
  • 22
    Szwarcwald CL, Souza Júnior PRB, Pascom ARP, Coelho RA, Ribeiro RA, Damacena GN, et al. HIV incidence estimates by sex and age group in the population aged 15 years or over, Brazil, 1986-2018. Rev Soc Bras Med Trop 2022; 55(suppl 1): e0231. https://doi.org/10.1590/0037-8682-0231-2021
    » https://doi.org/10.1590/0037-8682-0231-2021
  • 23
    Morais GAS, Magno L, Silva AF, Guimarães NS, Ordoñez JA, Souza LE, et al. Effect of a conditional cash transfer programme on AIDS incidence, hospitalisations, and mortality in Brazil: a longitudinal ecological study. Lancet HIV 2022; 9(10): e690-9. https://doi.org/10.1016/S2352-3018(22)00221-1
    » https://doi.org/10.1016/S2352-3018(22)00221-1
  • 24
    Guimarães MDC, Kendall C, Magno L, Rocha GM, Knauth DR, Leal AF, et al. Comparing HIV risk-related behaviors between 2 RDS national samples of MSM in Brazil, 2009 and 2016. Medicine (Baltimore) 2018; 97(1S Suppl 1):S62-8. https://doi.org/10.1097/MD.0000000000009079
    » https://doi.org/10.1097/MD.0000000000009079
  • 25
    Li G, Jiang Y, Zhang L. HIV upsurge in China’s students. Science 2019; 364(6442): 711. https://doi.org/10.1126/science.aay0799
    » https://doi.org/10.1126/science.aay0799
  • 26
    Wongkongdech R, Chanthamath S, Wongkongdech A. Knowledge, attitude and prevention behavior related to HIV/AIDS among students of a college in Lao-PDR: a cross-sectional study. F1000Research 2020; 9: 181. https://doi.org/10.12688/f1000research.22306.1
    » https://doi.org/10.12688/f1000research.22306.1
  • 27
    Sun X, Fan L, Chang C, Shi Y. HIV/AIDS related perception and behavior: a comparative study among college students of different majors in China. Int J Nurs Sci 2020; 7(Suppl 1): S74-9. https://doi.org/10.1016/j.ijnss.2020.07.010
    » https://doi.org/10.1016/j.ijnss.2020.07.010
  • 28
    Silva LHF, Andrade SSC, Oliveira SHS, Matos SDO, Silva MLN, Diniz ERS. Risco à infecção pelo HIV/AIDS entre estudantes de ensino superior. Rev Enferm UFPE on line. 2016; 10(5): 1781-8.
  • 29
    Tiruneh K, Wasie B, Gonzalez H. Sexual behavior and vulnerability to HIV infection among seasonal migrant laborers in Metema district, northwest Ethiopia: a cross-sectional study. BMC Public Health 2015; 15: 122. https://doi.org/10.1186/s12889-015-1468-0
    » https://doi.org/10.1186/s12889-015-1468-0
  • 30
    Taquette SR, Rodrigues NCP. Human immunodeficiency virus/acquired immunodeficiency syndrome epidemic in adolescents from a Brazilian metropolis (1978-2017). Rev Soc Bras Med Trop 2019; 52: e20190193. https://doi.org/10.1590/0037-8682-0193-2019
    » https://doi.org/10.1590/0037-8682-0193-2019
  • 31
    Lu Z, Ji W, Yin Y, Jin X, Wang L, Li Z, et al. Analysis on the trend of AIDS incidence in Zhejiang, China based on the age-period-cohort model (2004–2018). BMC Public Health 2021; 21(1): 1077. https://doi.org/10.1186/s12889-021-11050-x
    » https://doi.org/10.1186/s12889-021-11050-x
  • 32
    Kim HY, Choe HS, Lee DS, Yoo JM, Lee SJ. Sexual behavior and sexually transmitted infection in the elderly population of South Korea. Investig Clin Urol 2019; 60(3): 202-9. https://doi.org/10.4111/icu.2019.60.3.202
    » https://doi.org/10.4111/icu.2019.60.3.202
  • 33
    Alencar RA, Ciosak SI. Aids in the elderly: reasons that lead to late diagnosis. Rev Bras Enferm 2016; 69(6): 1076-81. http://dx.doi.org/10.1590/0034-7167-2016-0370
    » http://dx.doi.org/10.1590/0034-7167-2016-0370
  • 34
    Silva HR, Marreiros MOC, Figueiredo TS, Figueiredo MLF. Características clínico-epidemiológicas de pacientes idosos com aids em hospital de referência, Teresina-PI, 1996 a 2009. Epidemiol Serv Saúde 2011; 20(4): 499-507. http://dx.doi.org/10.5123/S1679-49742011000400009
    » http://dx.doi.org/10.5123/S1679-49742011000400009
  • 35
    Instituto Brasileiro de Geografia e Estatística. Educa. Conheça o Brasil. População. Educação [Internet]. 2020 [cited on Oct. 20, 2021]. Available at: https://educa.ibge.gov.br/jovens/conheca-o-brasil/populacao/18317-educacao.html#:∼:text=Um%20dado%20importante%20sobre%20educa%C3%A7%C3%A3o,havia%20sido%206%2C8%25
    » https://educa.ibge.gov.br/jovens/conheca-o-brasil/populacao/18317-educacao.html#:∼:text=Um%20dado%20importante%20sobre%20educa%C3%A7%C3%A3o,havia%20sido%206%2C8%25
  • 36
    Sociedade Brasileira de Geriatria e Gerontologia. Associação Médica Brasileira. Analfabetismo e a pessoa idosa: a realidade do país [Internet]. 2022 [cited on Oct. 22, 2022]. Available at: https://sbgg.org.br/analfabetismo-e-a-pessoa-idosa-a-realidade-do-pais/
    » https://sbgg.org.br/analfabetismo-e-a-pessoa-idosa-a-realidade-do-pais/
  • 37
    Paiva SS, Pedrosa NL, Galvão MTG. Análise espacial da AIDS e os determinantes sociais de saúde. Rev Bras Epidemiol 2019; 22: e190032. https://doi.org/10.1590/1980-549720190032
    » https://doi.org/10.1590/1980-549720190032
  • 38
    Alves ATJ, Nobre FF, Waller LA. Exploring spatial patterns in the associations between local AIDS incidence and socioeconomic and demographic variables in the state of Rio de Janeiro, Brazil. Spat Spatiotemporal Epidemiol 2016; 17: 85-93. https://doi.org/10.1016/j.sste.2016.04.008
    » https://doi.org/10.1016/j.sste.2016.04.008
  • 39
    Araújo EF, Albuquerque JM, Farias NSG, Vetorazo JVP. Ações preventivas em enfermagem ao HIV/AIDS na atenção primária de saúde. Revista Eletrônica Acervo Enfermagem 2021; 15(1): e9047. https://doi.org/10.25248/REAEnf.e9047.2021
    » https://doi.org/10.25248/REAEnf.e9047.2021

Publication Dates

  • Publication in this collection
    06 Jan 2023
  • Date of issue
    2023

History

  • Received
    13 Oct 2022
  • Reviewed
    18 Oct 2022
  • Accepted
    18 Oct 2022
Associação Brasileira de Pós -Graduação em Saúde Coletiva São Paulo - SP - Brazil
E-mail: revbrepi@usp.br