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Long-term trends of HIV/AIDS incidence in India: an application of joinpoint and age–period–cohort analyses: a gendered perspective

BACKGROUND: Monitoring the transmission patterns of human immunodeficiency virus (HIV) in a population is fundamental for identifying the key population and designing prevention interventions. In the present study, we aimed to estimate the gender disparities in HIV incidence and the age, period, and...

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Autores principales: Shri, Neha, Bhattacharyya, Krittika, Dhamnetiya, Deepak, Singh, Mayank, Jha, Ravi Prakash, Patel, Priyanka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10227429/
https://www.ncbi.nlm.nih.gov/pubmed/37261236
http://dx.doi.org/10.3389/fpubh.2023.1093310
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author Shri, Neha
Bhattacharyya, Krittika
Dhamnetiya, Deepak
Singh, Mayank
Jha, Ravi Prakash
Patel, Priyanka
author_facet Shri, Neha
Bhattacharyya, Krittika
Dhamnetiya, Deepak
Singh, Mayank
Jha, Ravi Prakash
Patel, Priyanka
author_sort Shri, Neha
collection PubMed
description BACKGROUND: Monitoring the transmission patterns of human immunodeficiency virus (HIV) in a population is fundamental for identifying the key population and designing prevention interventions. In the present study, we aimed to estimate the gender disparities in HIV incidence and the age, period, and cohort effects on the incidence of HIV in India for identifying the predictors that might have led to changes in the last three decades. DATA AND METHODS: This study utilizes data from the Global Burden of Disease Study for the period 1990–2019. The joinpoint regression analysis was employed to identify the magnitude of the changes in age-standardized incidence rates (ASIRs) of HIV. The average annual percentage changes in the incidence were computed, and the age–period–cohort analysis was performed. RESULTS: A decreasing trend in the overall estimates of age-standardized HIV incidence rates were observed in the period 1990–2019. The joinpoint regression analysis showed that the age-standardized incidence significantly declined from its peak in 1997 to 2019 (38.0 and 27.6 among males and females per 100,000 in 1997 to 5.4 and 4.6, respectively, in 2019). The APC was estimated to be 2.12 among males and 1.24 among females for the period 1990–2019. In recent years, although the gender gap in HIV incidence has reduced, females were observed to bear a proportionately higher burden of HIV incidence. Age effect showed a decline in HIV incidence by 91.1 and 70.1% among males and females aged between 15–19 years and 75–79 years. During the entire period from 1990–1994 to 2015–2019, the RR of HIV incidence decreased by 36.2 and 33.7% among males and females, respectively. CONCLUSION: India is experiencing a decline in new HIV infections in recent years. However, the decline is steeper for males than for females. Findings highlight the necessity of providing older women and young women at risk with effective HIV prevention. This study emphasizes the need for large-scale HIV primary prevention efforts for teenage girls and young women.
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spelling pubmed-102274292023-05-31 Long-term trends of HIV/AIDS incidence in India: an application of joinpoint and age–period–cohort analyses: a gendered perspective Shri, Neha Bhattacharyya, Krittika Dhamnetiya, Deepak Singh, Mayank Jha, Ravi Prakash Patel, Priyanka Front Public Health Public Health BACKGROUND: Monitoring the transmission patterns of human immunodeficiency virus (HIV) in a population is fundamental for identifying the key population and designing prevention interventions. In the present study, we aimed to estimate the gender disparities in HIV incidence and the age, period, and cohort effects on the incidence of HIV in India for identifying the predictors that might have led to changes in the last three decades. DATA AND METHODS: This study utilizes data from the Global Burden of Disease Study for the period 1990–2019. The joinpoint regression analysis was employed to identify the magnitude of the changes in age-standardized incidence rates (ASIRs) of HIV. The average annual percentage changes in the incidence were computed, and the age–period–cohort analysis was performed. RESULTS: A decreasing trend in the overall estimates of age-standardized HIV incidence rates were observed in the period 1990–2019. The joinpoint regression analysis showed that the age-standardized incidence significantly declined from its peak in 1997 to 2019 (38.0 and 27.6 among males and females per 100,000 in 1997 to 5.4 and 4.6, respectively, in 2019). The APC was estimated to be 2.12 among males and 1.24 among females for the period 1990–2019. In recent years, although the gender gap in HIV incidence has reduced, females were observed to bear a proportionately higher burden of HIV incidence. Age effect showed a decline in HIV incidence by 91.1 and 70.1% among males and females aged between 15–19 years and 75–79 years. During the entire period from 1990–1994 to 2015–2019, the RR of HIV incidence decreased by 36.2 and 33.7% among males and females, respectively. CONCLUSION: India is experiencing a decline in new HIV infections in recent years. However, the decline is steeper for males than for females. Findings highlight the necessity of providing older women and young women at risk with effective HIV prevention. This study emphasizes the need for large-scale HIV primary prevention efforts for teenage girls and young women. Frontiers Media S.A. 2023-05-16 /pmc/articles/PMC10227429/ /pubmed/37261236 http://dx.doi.org/10.3389/fpubh.2023.1093310 Text en Copyright © 2023 Shri, Bhattacharyya, Dhamnetiya, Singh, Jha and Patel. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Shri, Neha
Bhattacharyya, Krittika
Dhamnetiya, Deepak
Singh, Mayank
Jha, Ravi Prakash
Patel, Priyanka
Long-term trends of HIV/AIDS incidence in India: an application of joinpoint and age–period–cohort analyses: a gendered perspective
title Long-term trends of HIV/AIDS incidence in India: an application of joinpoint and age–period–cohort analyses: a gendered perspective
title_full Long-term trends of HIV/AIDS incidence in India: an application of joinpoint and age–period–cohort analyses: a gendered perspective
title_fullStr Long-term trends of HIV/AIDS incidence in India: an application of joinpoint and age–period–cohort analyses: a gendered perspective
title_full_unstemmed Long-term trends of HIV/AIDS incidence in India: an application of joinpoint and age–period–cohort analyses: a gendered perspective
title_short Long-term trends of HIV/AIDS incidence in India: an application of joinpoint and age–period–cohort analyses: a gendered perspective
title_sort long-term trends of hiv/aids incidence in india: an application of joinpoint and age–period–cohort analyses: a gendered perspective
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10227429/
https://www.ncbi.nlm.nih.gov/pubmed/37261236
http://dx.doi.org/10.3389/fpubh.2023.1093310
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