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Estimating the Lifetime and Age-Conditional Risk of an HIV Diagnosis in Iran, 2011–2015

BACKGROUND: According to the importance of infectious diseases, especially HIV, the purpose of this study was to estimate lifetime and age-conditional risks of HIV diagnosis in Iran. METHODS: We used vital statistics, HIV surveillance and census data for 2011–2015 to calculate Age-specific HIV diagn...

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Detalles Bibliográficos
Autores principales: Nasirian, Maryam, Mahboobi, Marzieh, Maracy, Mohammad Reza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Tehran University of Medical Sciences 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8223577/
https://www.ncbi.nlm.nih.gov/pubmed/34183963
http://dx.doi.org/10.18502/ijph.v50i5.6122
Descripción
Sumario:BACKGROUND: According to the importance of infectious diseases, especially HIV, the purpose of this study was to estimate lifetime and age-conditional risks of HIV diagnosis in Iran. METHODS: We used vital statistics, HIV surveillance and census data for 2011–2015 to calculate Age-specific HIV diagnosis and non-HIV death rates. These rates then converted to the probability of an HIV diagnosis considering the competing risk. Finally, the probabilities were applied to a hypothetical cohort of 10 million live births. The lifetime and age-conditional risk of HIV diagnosis in the total and general population of Iran were calculated by Dev Can software (version 6.7.4). RESULTS: Lifetime risk was 0.084% (95% CI: 0.081–0.088) or one in 1183 for females and 0.21% (95% CI: 0.201–0.211) or one in 483 for males in the total population. In the general population lifetime risk for men was 0.069% (95% CI: 0.066–0.072) or 1 in 1454 men and 0.066% (95%CI: 0.063–0.069) or one in 1523 for women. In the total and general population, the 10-yr age-conditional risk of HIV diagnosis showed that the highest risk of an HIV diagnosis is related to 30-yr -olds. CONCLUSION: The estimated risks differed based on gender, age, and type of population. Paying close attention to these differences is critical for infection control planning and policies.