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Estimating the Burden of Tuberculosis in India: A Modelling Study
BACKGROUND: Measurements TB incidence and mortality are crucial for monitoring progress towards SDG goals for TB. Until recently, WHO estimated TB burden in India with applied simple, transparent equilibrium models to data from Gujarat, an Indian state where the first state-level prevalence survey w...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10353668/ https://www.ncbi.nlm.nih.gov/pubmed/37469917 http://dx.doi.org/10.4103/ijcm.ijcm_160_23 |
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author | Mandal, Sandip Rao, Raghuram Joshi, Rajendra |
author_facet | Mandal, Sandip Rao, Raghuram Joshi, Rajendra |
author_sort | Mandal, Sandip |
collection | PubMed |
description | BACKGROUND: Measurements TB incidence and mortality are crucial for monitoring progress towards SDG goals for TB. Until recently, WHO estimated TB burden in India with applied simple, transparent equilibrium models to data from Gujarat, an Indian state where the first state-level prevalence survey was conducted in 2011. However, since then there has been several interventions in India including national TB prevalence survey, infection survey, sub-national survey & certification which gives opportunity for national and sub-national estimates for TB incidence and mortality. METHODS: We developed a model is a compartmental, deterministic framework, taking account of TB natural history, as well as India’s healthcare system including health care seeking from public and private sector. To address changes in TB burden owing to COVID disruptions, we followed same model that used by WHO in the global TB Report 2022 with additional impact of delta wave in 2021. Major sources of data included National TB Prevalence survey, trends in caseloads in public and private sector including their contribution and mortality information. RESULTS: We estimated total TB incidence of 2.77 million in the year 2022 as against 2.97 in the year 2015 and corresponding TB mortality of 0.32 and 0.36 million respectively. In terms of rate per 1,00,000 TB incidence in 2022 was 196 as compared to 225 in the year 2015 and mortality was 23 and 27 respectively. TB incidence estimates are similar to what was estimated by WHO, while mortality estimates appear different in our estimates due to different calibration targets depending on in-country published data. CONCLUSION: Even if TB burden is infeasible to measure directly, a range of data can nonetheless offer indirect evidence for its estimation: mathematical modelling can be a helpful tool for bringing together these diverse sources of evidence, and deriving estimates that are consistent with them all. While the RGI reported mortality is an important source of information, its quality and coverage for medically certified cause of deaths requires improvement in India. |
format | Online Article Text |
id | pubmed-10353668 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-103536682023-07-19 Estimating the Burden of Tuberculosis in India: A Modelling Study Mandal, Sandip Rao, Raghuram Joshi, Rajendra Indian J Community Med Original Article BACKGROUND: Measurements TB incidence and mortality are crucial for monitoring progress towards SDG goals for TB. Until recently, WHO estimated TB burden in India with applied simple, transparent equilibrium models to data from Gujarat, an Indian state where the first state-level prevalence survey was conducted in 2011. However, since then there has been several interventions in India including national TB prevalence survey, infection survey, sub-national survey & certification which gives opportunity for national and sub-national estimates for TB incidence and mortality. METHODS: We developed a model is a compartmental, deterministic framework, taking account of TB natural history, as well as India’s healthcare system including health care seeking from public and private sector. To address changes in TB burden owing to COVID disruptions, we followed same model that used by WHO in the global TB Report 2022 with additional impact of delta wave in 2021. Major sources of data included National TB Prevalence survey, trends in caseloads in public and private sector including their contribution and mortality information. RESULTS: We estimated total TB incidence of 2.77 million in the year 2022 as against 2.97 in the year 2015 and corresponding TB mortality of 0.32 and 0.36 million respectively. In terms of rate per 1,00,000 TB incidence in 2022 was 196 as compared to 225 in the year 2015 and mortality was 23 and 27 respectively. TB incidence estimates are similar to what was estimated by WHO, while mortality estimates appear different in our estimates due to different calibration targets depending on in-country published data. CONCLUSION: Even if TB burden is infeasible to measure directly, a range of data can nonetheless offer indirect evidence for its estimation: mathematical modelling can be a helpful tool for bringing together these diverse sources of evidence, and deriving estimates that are consistent with them all. While the RGI reported mortality is an important source of information, its quality and coverage for medically certified cause of deaths requires improvement in India. Wolters Kluwer - Medknow 2023 2023-03-24 /pmc/articles/PMC10353668/ /pubmed/37469917 http://dx.doi.org/10.4103/ijcm.ijcm_160_23 Text en Copyright: © 2023 Indian Journal of Community Medicine https://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 Mandal, Sandip Rao, Raghuram Joshi, Rajendra Estimating the Burden of Tuberculosis in India: A Modelling Study |
title | Estimating the Burden of Tuberculosis in India: A Modelling Study |
title_full | Estimating the Burden of Tuberculosis in India: A Modelling Study |
title_fullStr | Estimating the Burden of Tuberculosis in India: A Modelling Study |
title_full_unstemmed | Estimating the Burden of Tuberculosis in India: A Modelling Study |
title_short | Estimating the Burden of Tuberculosis in India: A Modelling Study |
title_sort | estimating the burden of tuberculosis in india: a modelling study |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10353668/ https://www.ncbi.nlm.nih.gov/pubmed/37469917 http://dx.doi.org/10.4103/ijcm.ijcm_160_23 |
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