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Characterizing measles transmission in India: a dynamic modeling study using verbal autopsy data

BACKGROUND: Decreasing trends in measles mortality have been reported in recent years. However, such estimates of measles mortality have depended heavily on assumed regional measles case fatality risks (CFRs) and made little use of mortality data from low- and middle-income countries in general and...

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Autores principales: Verguet, Stéphane, Jones, Edward O., Johri, Mira, Morris, Shaun K., Suraweera, Wilson, Gauvreau, Cindy L., Jha, Prabhat, Jit, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5550950/
https://www.ncbi.nlm.nih.gov/pubmed/28793891
http://dx.doi.org/10.1186/s12916-017-0908-3
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author Verguet, Stéphane
Jones, Edward O.
Johri, Mira
Morris, Shaun K.
Suraweera, Wilson
Gauvreau, Cindy L.
Jha, Prabhat
Jit, Mark
author_facet Verguet, Stéphane
Jones, Edward O.
Johri, Mira
Morris, Shaun K.
Suraweera, Wilson
Gauvreau, Cindy L.
Jha, Prabhat
Jit, Mark
author_sort Verguet, Stéphane
collection PubMed
description BACKGROUND: Decreasing trends in measles mortality have been reported in recent years. However, such estimates of measles mortality have depended heavily on assumed regional measles case fatality risks (CFRs) and made little use of mortality data from low- and middle-income countries in general and India, the country with the highest measles burden globally, in particular. METHODS: We constructed a dynamic model of measles transmission in India with parameters that were empirically inferred using spectral analysis from a time series of measles mortality extracted from the Million Death Study, an ongoing longitudinal study recording deaths across 2.4 million Indian households and attributing causes of death using verbal autopsy. The model was then used to estimate the measles CFR, the number of measles deaths, and the impact of vaccination in 2000–2015 among under-five children in India and in the states of Bihar and Uttar Pradesh (UP), two states with large populations and the highest numbers of measles deaths in India. RESULTS: We obtained the following estimated CFRs among under-five children for the year 2005: 0.63% (95% confidence interval (CI): 0.40–1.00%) for India as a whole, 0.62% (0.38–1.00%) for Bihar, and 1.19% (0.80–1.75%) for UP. During 2000–2015, we estimated that 607,000 (95% CI: 383,000–958,000) under-five deaths attributed to measles occurred in India as a whole. If no routine vaccination or supplemental immunization activities had occurred from 2000 to 2015, an additional 1.6 (1.0–2.6) million deaths for under-five children would have occurred across India. CONCLUSIONS: We developed a data- and model-driven estimation of the historical measles dynamics, CFR, and vaccination impact in India, extracting the periodicity of epidemics using spectral and coherence analysis, which allowed us to infer key parameters driving measles transmission dynamics and mortality. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12916-017-0908-3) contains supplementary material, which is available to authorized users.
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spelling pubmed-55509502017-08-14 Characterizing measles transmission in India: a dynamic modeling study using verbal autopsy data Verguet, Stéphane Jones, Edward O. Johri, Mira Morris, Shaun K. Suraweera, Wilson Gauvreau, Cindy L. Jha, Prabhat Jit, Mark BMC Med Research Article BACKGROUND: Decreasing trends in measles mortality have been reported in recent years. However, such estimates of measles mortality have depended heavily on assumed regional measles case fatality risks (CFRs) and made little use of mortality data from low- and middle-income countries in general and India, the country with the highest measles burden globally, in particular. METHODS: We constructed a dynamic model of measles transmission in India with parameters that were empirically inferred using spectral analysis from a time series of measles mortality extracted from the Million Death Study, an ongoing longitudinal study recording deaths across 2.4 million Indian households and attributing causes of death using verbal autopsy. The model was then used to estimate the measles CFR, the number of measles deaths, and the impact of vaccination in 2000–2015 among under-five children in India and in the states of Bihar and Uttar Pradesh (UP), two states with large populations and the highest numbers of measles deaths in India. RESULTS: We obtained the following estimated CFRs among under-five children for the year 2005: 0.63% (95% confidence interval (CI): 0.40–1.00%) for India as a whole, 0.62% (0.38–1.00%) for Bihar, and 1.19% (0.80–1.75%) for UP. During 2000–2015, we estimated that 607,000 (95% CI: 383,000–958,000) under-five deaths attributed to measles occurred in India as a whole. If no routine vaccination or supplemental immunization activities had occurred from 2000 to 2015, an additional 1.6 (1.0–2.6) million deaths for under-five children would have occurred across India. CONCLUSIONS: We developed a data- and model-driven estimation of the historical measles dynamics, CFR, and vaccination impact in India, extracting the periodicity of epidemics using spectral and coherence analysis, which allowed us to infer key parameters driving measles transmission dynamics and mortality. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12916-017-0908-3) contains supplementary material, which is available to authorized users. BioMed Central 2017-08-10 /pmc/articles/PMC5550950/ /pubmed/28793891 http://dx.doi.org/10.1186/s12916-017-0908-3 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Verguet, Stéphane
Jones, Edward O.
Johri, Mira
Morris, Shaun K.
Suraweera, Wilson
Gauvreau, Cindy L.
Jha, Prabhat
Jit, Mark
Characterizing measles transmission in India: a dynamic modeling study using verbal autopsy data
title Characterizing measles transmission in India: a dynamic modeling study using verbal autopsy data
title_full Characterizing measles transmission in India: a dynamic modeling study using verbal autopsy data
title_fullStr Characterizing measles transmission in India: a dynamic modeling study using verbal autopsy data
title_full_unstemmed Characterizing measles transmission in India: a dynamic modeling study using verbal autopsy data
title_short Characterizing measles transmission in India: a dynamic modeling study using verbal autopsy data
title_sort characterizing measles transmission in india: a dynamic modeling study using verbal autopsy data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5550950/
https://www.ncbi.nlm.nih.gov/pubmed/28793891
http://dx.doi.org/10.1186/s12916-017-0908-3
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