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Findings from the 2017 HIV estimation round & trend analysis of key indicators 2010-2017: Evidence for prioritising HIV/AIDS programme in India
BACKGROUND & OBJECTIVES: The National AIDS Control Organisation (NACO) and the ICMR-National Institute of Medical Statistics, the nodal agency for conducting HIV estimations in India, have been generating HIV estimates regularly since 2003. The objective of this study was to describe India'...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7602920/ https://www.ncbi.nlm.nih.gov/pubmed/32719229 http://dx.doi.org/10.4103/ijmr.IJMR_1619_19 |
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author | Sahu, Damodar Kumar, Pradeep Chandra, Nalini Rajan, Shobini Shukla, D.K. Venkatesh, S. Nair, Saritha Kumar, Anil Singh, Jitenkumar Reddy, Srikanth Godbole, Sheela Elangovan, A. Saha, M.K. Rai, Sanjay Lakshmi, P.V.M. Gambhir, T. Ammassari, Savina Joshi, Deepika Das, Amitabh Bakshi, Poonam Chakraborty, Sabyasachi Palkar, Amol Singh, S.K. Reddy, D.C.S. Kant, Shashi Pandey, Arvind Vardhana Rao, M. Vishnu |
author_facet | Sahu, Damodar Kumar, Pradeep Chandra, Nalini Rajan, Shobini Shukla, D.K. Venkatesh, S. Nair, Saritha Kumar, Anil Singh, Jitenkumar Reddy, Srikanth Godbole, Sheela Elangovan, A. Saha, M.K. Rai, Sanjay Lakshmi, P.V.M. Gambhir, T. Ammassari, Savina Joshi, Deepika Das, Amitabh Bakshi, Poonam Chakraborty, Sabyasachi Palkar, Amol Singh, S.K. Reddy, D.C.S. Kant, Shashi Pandey, Arvind Vardhana Rao, M. Vishnu |
author_sort | Sahu, Damodar |
collection | PubMed |
description | BACKGROUND & OBJECTIVES: The National AIDS Control Organisation (NACO) and the ICMR-National Institute of Medical Statistics, the nodal agency for conducting HIV estimations in India, have been generating HIV estimates regularly since 2003. The objective of this study was to describe India's biennial HIV estimation 2017 process, data inputs, tool, methodology and epidemiological assumptions used to generate the HIV estimates and trends of key indicators for 2010-2017 at national and State/Union Territory levels. METHODS: Demographic Projection (DemProj) and AIDS Impact Modules (AIM) of Spectrum 5.63 software recommended by the United Nations Programme on HIV and AIDS Global Reference Group on HIV Estimates, Modelling and Projections, were used for generating HIV estimations on key indicators. HIV sentinel surveillance, epidemiological and programme data were entered into Estimation Projection Package (EPP), and curve fitting was done using EPP classic model. Finally, calibration was done using the State HIV prevalence of two rounds of National Family Health Survey (NFHS) -3 and -4 and Integrated Biological and Behavioural Surveillance (IBBS), 2014-2015. RESULTS: The national adult prevalence of HIV was estimated to be 0.22 per cent in 2017. Mizoram, Manipur and Nagaland had the highest prevalence over one per cent. An estimated 2.1 million people were living with HIV in 2017, with Maharashtra estimated to have the highest number. Of the 88 thousand annual new HIV infections estimated nationally in 2017, Telangana accounted for the largest share. HIV incidence was found to be higher among key population groups, especially people who inject drugs. The annual AIDS-related deaths were estimated to be 69 thousand nationally. For all indicators, geographic variation in levels and trends between States existed. INTERPRETATION & CONCLUSIONS: With a slow decline in annual new HIV infections by only 27 per cent from 2010 to 2017 against the national target of 75 per cent by 2020, the national target to end AIDS by 2030 may be missed; although at the sub-national level some States have made better progress to reduce new HIV infection. It calls for reinforcement of HIV prevention, diagnosis and treatment efforts by geographical regions and population groups. |
format | Online Article Text |
id | pubmed-7602920 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-76029202020-11-04 Findings from the 2017 HIV estimation round & trend analysis of key indicators 2010-2017: Evidence for prioritising HIV/AIDS programme in India Sahu, Damodar Kumar, Pradeep Chandra, Nalini Rajan, Shobini Shukla, D.K. Venkatesh, S. Nair, Saritha Kumar, Anil Singh, Jitenkumar Reddy, Srikanth Godbole, Sheela Elangovan, A. Saha, M.K. Rai, Sanjay Lakshmi, P.V.M. Gambhir, T. Ammassari, Savina Joshi, Deepika Das, Amitabh Bakshi, Poonam Chakraborty, Sabyasachi Palkar, Amol Singh, S.K. Reddy, D.C.S. Kant, Shashi Pandey, Arvind Vardhana Rao, M. Vishnu Indian J Med Res Original Article BACKGROUND & OBJECTIVES: The National AIDS Control Organisation (NACO) and the ICMR-National Institute of Medical Statistics, the nodal agency for conducting HIV estimations in India, have been generating HIV estimates regularly since 2003. The objective of this study was to describe India's biennial HIV estimation 2017 process, data inputs, tool, methodology and epidemiological assumptions used to generate the HIV estimates and trends of key indicators for 2010-2017 at national and State/Union Territory levels. METHODS: Demographic Projection (DemProj) and AIDS Impact Modules (AIM) of Spectrum 5.63 software recommended by the United Nations Programme on HIV and AIDS Global Reference Group on HIV Estimates, Modelling and Projections, were used for generating HIV estimations on key indicators. HIV sentinel surveillance, epidemiological and programme data were entered into Estimation Projection Package (EPP), and curve fitting was done using EPP classic model. Finally, calibration was done using the State HIV prevalence of two rounds of National Family Health Survey (NFHS) -3 and -4 and Integrated Biological and Behavioural Surveillance (IBBS), 2014-2015. RESULTS: The national adult prevalence of HIV was estimated to be 0.22 per cent in 2017. Mizoram, Manipur and Nagaland had the highest prevalence over one per cent. An estimated 2.1 million people were living with HIV in 2017, with Maharashtra estimated to have the highest number. Of the 88 thousand annual new HIV infections estimated nationally in 2017, Telangana accounted for the largest share. HIV incidence was found to be higher among key population groups, especially people who inject drugs. The annual AIDS-related deaths were estimated to be 69 thousand nationally. For all indicators, geographic variation in levels and trends between States existed. INTERPRETATION & CONCLUSIONS: With a slow decline in annual new HIV infections by only 27 per cent from 2010 to 2017 against the national target of 75 per cent by 2020, the national target to end AIDS by 2030 may be missed; although at the sub-national level some States have made better progress to reduce new HIV infection. It calls for reinforcement of HIV prevention, diagnosis and treatment efforts by geographical regions and population groups. Wolters Kluwer - Medknow 2020-06 /pmc/articles/PMC7602920/ /pubmed/32719229 http://dx.doi.org/10.4103/ijmr.IJMR_1619_19 Text en Copyright: © 2020 Indian Journal of Medical Research http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Sahu, Damodar Kumar, Pradeep Chandra, Nalini Rajan, Shobini Shukla, D.K. Venkatesh, S. Nair, Saritha Kumar, Anil Singh, Jitenkumar Reddy, Srikanth Godbole, Sheela Elangovan, A. Saha, M.K. Rai, Sanjay Lakshmi, P.V.M. Gambhir, T. Ammassari, Savina Joshi, Deepika Das, Amitabh Bakshi, Poonam Chakraborty, Sabyasachi Palkar, Amol Singh, S.K. Reddy, D.C.S. Kant, Shashi Pandey, Arvind Vardhana Rao, M. Vishnu Findings from the 2017 HIV estimation round & trend analysis of key indicators 2010-2017: Evidence for prioritising HIV/AIDS programme in India |
title | Findings from the 2017 HIV estimation round & trend analysis of key indicators 2010-2017: Evidence for prioritising HIV/AIDS programme in India |
title_full | Findings from the 2017 HIV estimation round & trend analysis of key indicators 2010-2017: Evidence for prioritising HIV/AIDS programme in India |
title_fullStr | Findings from the 2017 HIV estimation round & trend analysis of key indicators 2010-2017: Evidence for prioritising HIV/AIDS programme in India |
title_full_unstemmed | Findings from the 2017 HIV estimation round & trend analysis of key indicators 2010-2017: Evidence for prioritising HIV/AIDS programme in India |
title_short | Findings from the 2017 HIV estimation round & trend analysis of key indicators 2010-2017: Evidence for prioritising HIV/AIDS programme in India |
title_sort | findings from the 2017 hiv estimation round & trend analysis of key indicators 2010-2017: evidence for prioritising hiv/aids programme in india |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7602920/ https://www.ncbi.nlm.nih.gov/pubmed/32719229 http://dx.doi.org/10.4103/ijmr.IJMR_1619_19 |
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