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Estimation of HIV incidence in two Brazilian municipalities, 2013

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Title
Estimation of HIV incidence in two Brazilian municipalities, 2013
Published in
Revista de Saúde Pública, August 2016
DOI 10.1590/s1518-8787.2016050006310
Pubmed ID
Authors

Célia Landmann Szwarcwald, Orlando da Costa Ferreira, Júnior, Ana Maria de Brito, Karin Regina Luhm, Clea Elisa Lopes Ribeiro, Ana Maria Silva, Ana Maria Salustiano Cavalcanti, Tomoko Sasazawa Ito, Sonia Mara Raboni, Paulo Roberto Borges de Souza, Júnior, Gerson Fernando Mendes Pereira

Abstract

To estimate HIV incidence in two Brazilian municipalities, Recife and Curitiba, in the year of 2013. The method for estimating incidence was based on primary information, resulting from the Lag-Avidity laboratory test for detection of recent HIV infections, applied in a sample of the cases diagnosed in the two cities in 2013. For the estimation of the HIV incidence for the total population of the cities, the recent infections detected in the research were annualized and weighted by the inverse of the probability of HIV testing in 2013 among the infected and not diagnosed cases. After estimating HIV incidence for the total population, the incidence rates were estimated by sex, age group, and exposure category. In Recife, 902 individuals aged 13 years and older were diagnosed with HIV infection. From these, 528 were included in the study, and the estimated proportion of recent infections was 13.1%. In Curitiba, 1,013 people aged 13 years and older were diagnosed, 497 participated in the study, and the proportion of recent infections was 10.5%. In Recife, the estimated incidence rate was 53.1/100,000 inhabitants of 13 years and older, while in Curitiba, it was 41.1/100,000, with male-to-female ratio of 3.5 and 2.4, respectively. We observed high rates of HIV incidence among men who have sex with men, of 1.47% in Recife and 0.92% in Curitiba. The results obtained in the two cities showed that the group of men who have sex with men are disproportionately subject to a greater risk of new infections, and indicate that strategies to control the spread of the epidemic in this population subgroup are essential and urgent. Estimar a incidência de HIV em dois municípios brasileiros, Recife e Curitiba, no ano de 2013. O método de estimação da incidência foi baseado em informações primárias, resultantes do ensaio laboratorial Lag-Avidity para detecção de infecções recentes do HIV, aplicado em uma amostra dos casos diagnosticados nas duas cidades em 2013. Para a estimação da incidência de HIV para a população total das cidades, as infecções recentes detectadas na pesquisa foram anualizadas e ponderadas pelo inverso da probabilidade de teste de HIV no ano de 2013 entre os casos infectados e não diagnosticados. Após a estimação da incidência de HIV para a população total, foram estimadas as taxas de incidência por sexo, faixa de idade e categoria de exposição. Em Recife, foram diagnosticados 902 indivíduos de 13 anos e mais com infecção de HIV. Desses, 528 foram incluídos no estudo, e a proporção estimada de infecções recentes foi de 13,1%. Em Curitiba, foram diagnosticadas 1.013 pessoas de 13 anos e mais, 497 participaram do estudo, e a proporção de infecções recentes foi de 10,5%. Em Recife, a taxa de incidência estimada foi de 53,1 por 100 mil habitantes de 13 anos e mais, enquanto em Curitiba, de 41,1 por 100 mil, com razão do sexo masculino para o feminino de 3,5 e 2,4, respectivamente. Foram evidenciadas elevadas taxas de incidência de HIV entre homens que fazem sexo com homens, de 1,47% em Recife e 0,92% em Curitiba. Os resultados obtidos nas duas cidades mostraram que o grupo dos homens que fazem sexo com homens está desproporcionalmente sujeito ao maior risco de novas infecções, e indicam que estratégias para controle da disseminação da epidemia nesse subgrupo populacional são essenciais e urgentes.

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Geographical breakdown

Country Count As %
Brazil 1 2%
Unknown 50 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 20%
Student > Bachelor 9 18%
Student > Ph. D. Student 5 10%
Student > Postgraduate 4 8%
Professor 3 6%
Other 8 16%
Unknown 12 24%
Readers by discipline Count As %
Medicine and Dentistry 14 27%
Immunology and Microbiology 4 8%
Pharmacology, Toxicology and Pharmaceutical Science 4 8%
Nursing and Health Professions 3 6%
Agricultural and Biological Sciences 2 4%
Other 8 16%
Unknown 16 31%