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Estimating the burden of pediatric HIV in an ‘A’ category district in India: an epidemiological study

BACKGROUND: India lacks epidemiological information on the disease burden of pediatric HIV. The National AIDS Control Program (NACP) estimates the numbers of HIV-positive children as a proportion of adult persons living with HIV. A third of HIV-positive children die before their first birthday and a...

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Autores principales: Sinha, Anju, Washington, Reynold, Sethumadhavan, Rajeev, Potty, Rajaram Subramanian, Isac, Shajy, Thavraj, Vasantha, Pandey, Ravindra Mohan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8393468/
https://www.ncbi.nlm.nih.gov/pubmed/34452606
http://dx.doi.org/10.1186/s12887-021-02836-4
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author Sinha, Anju
Washington, Reynold
Sethumadhavan, Rajeev
Potty, Rajaram Subramanian
Isac, Shajy
Thavraj, Vasantha
Pandey, Ravindra Mohan
author_facet Sinha, Anju
Washington, Reynold
Sethumadhavan, Rajeev
Potty, Rajaram Subramanian
Isac, Shajy
Thavraj, Vasantha
Pandey, Ravindra Mohan
author_sort Sinha, Anju
collection PubMed
description BACKGROUND: India lacks epidemiological information on the disease burden of pediatric HIV. The National AIDS Control Program (NACP) estimates the numbers of HIV-positive children as a proportion of adult persons living with HIV. A third of HIV-positive children die before their first birthday and a half before they reach their second birthday. The early detection of HIV is crucial for the prevention of morbidities, growth delays, and death among HIV-positive children. METHODS: The study aimed to estimate the disease burden of pediatric HIV among children in ‘A’ category district of a high HIV prevalence state. An ‘A’ category district is defined by the presence of > 1% HIV prevalence among the general population, as estimated by HIV Sentinel Surveillance. The study used an innovative three-pronged strategy combining cross-sectional and longitudinal methods. The overall burden of pediatric HIV was calculated as a product of cases detected multiplied by a net inflation factor, for each of three strategies. RESULTS: The existing pool of HIV infection in the district is estimated to be 3266 (95% CI: 2621–4197) HIV positive children < 15 years of age, in a mid-year (2013) projected child population of about 1.4 million, thus giving an HIV prevalence of 0.23% (CI: 0.19–0.30) among children (0–14 years of age). The proportion of children among all people living with HIV in the district works out to 10.4% (CI: 8.6–13.5%). CONCLUSIONS: The study estimate of 0.23% HIV prevalence among children (0–14 years of age) is higher than the NACP estimates (0.02) and is 2.5 higher than the Karnataka state estimate (0.09)(22). Similarly, the proportion of children among all persons living with HIV in Belgaum district is 10.4% in this study, as against 6.54% for India. The study methodology is replicable for other settings and other diseases.
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spelling pubmed-83934682021-08-30 Estimating the burden of pediatric HIV in an ‘A’ category district in India: an epidemiological study Sinha, Anju Washington, Reynold Sethumadhavan, Rajeev Potty, Rajaram Subramanian Isac, Shajy Thavraj, Vasantha Pandey, Ravindra Mohan BMC Pediatr Research BACKGROUND: India lacks epidemiological information on the disease burden of pediatric HIV. The National AIDS Control Program (NACP) estimates the numbers of HIV-positive children as a proportion of adult persons living with HIV. A third of HIV-positive children die before their first birthday and a half before they reach their second birthday. The early detection of HIV is crucial for the prevention of morbidities, growth delays, and death among HIV-positive children. METHODS: The study aimed to estimate the disease burden of pediatric HIV among children in ‘A’ category district of a high HIV prevalence state. An ‘A’ category district is defined by the presence of > 1% HIV prevalence among the general population, as estimated by HIV Sentinel Surveillance. The study used an innovative three-pronged strategy combining cross-sectional and longitudinal methods. The overall burden of pediatric HIV was calculated as a product of cases detected multiplied by a net inflation factor, for each of three strategies. RESULTS: The existing pool of HIV infection in the district is estimated to be 3266 (95% CI: 2621–4197) HIV positive children < 15 years of age, in a mid-year (2013) projected child population of about 1.4 million, thus giving an HIV prevalence of 0.23% (CI: 0.19–0.30) among children (0–14 years of age). The proportion of children among all people living with HIV in the district works out to 10.4% (CI: 8.6–13.5%). CONCLUSIONS: The study estimate of 0.23% HIV prevalence among children (0–14 years of age) is higher than the NACP estimates (0.02) and is 2.5 higher than the Karnataka state estimate (0.09)(22). Similarly, the proportion of children among all persons living with HIV in Belgaum district is 10.4% in this study, as against 6.54% for India. The study methodology is replicable for other settings and other diseases. BioMed Central 2021-08-27 /pmc/articles/PMC8393468/ /pubmed/34452606 http://dx.doi.org/10.1186/s12887-021-02836-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Sinha, Anju
Washington, Reynold
Sethumadhavan, Rajeev
Potty, Rajaram Subramanian
Isac, Shajy
Thavraj, Vasantha
Pandey, Ravindra Mohan
Estimating the burden of pediatric HIV in an ‘A’ category district in India: an epidemiological study
title Estimating the burden of pediatric HIV in an ‘A’ category district in India: an epidemiological study
title_full Estimating the burden of pediatric HIV in an ‘A’ category district in India: an epidemiological study
title_fullStr Estimating the burden of pediatric HIV in an ‘A’ category district in India: an epidemiological study
title_full_unstemmed Estimating the burden of pediatric HIV in an ‘A’ category district in India: an epidemiological study
title_short Estimating the burden of pediatric HIV in an ‘A’ category district in India: an epidemiological study
title_sort estimating the burden of pediatric hiv in an ‘a’ category district in india: an epidemiological study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8393468/
https://www.ncbi.nlm.nih.gov/pubmed/34452606
http://dx.doi.org/10.1186/s12887-021-02836-4
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