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Time-series study of cardiovascular rates in India: A systematic analysis between 1990 and 2017

Cardiovascular disease represents a significant public health issue and places an immense burden on India's citizens, families, health systems, and the population. Predictive models provide structure and direction in anticipating future needs. This time-series study employed Box–Jenkins time se...

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Detalles Bibliográficos
Autores principales: Banerjee, Srikanta, Huth, John K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7411094/
https://www.ncbi.nlm.nih.gov/pubmed/32768021
http://dx.doi.org/10.1016/j.ihj.2020.05.014
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author Banerjee, Srikanta
Huth, John K.
author_facet Banerjee, Srikanta
Huth, John K.
author_sort Banerjee, Srikanta
collection PubMed
description Cardiovascular disease represents a significant public health issue and places an immense burden on India's citizens, families, health systems, and the population. Predictive models provide structure and direction in anticipating future needs. This time-series study employed Box–Jenkins time series modeling to forecast 2030 prevalence and mortality rates of stroke, ischemic heart disease, and cardiovascular disease. The 2030 projected cardiovascular disease prevalence rate was predicted to increase to 5.26% (95% prediction interval, 5.19%–5.28%), with major contributors being stroke and ischemic heart disease. The authors propose increased investment across the continuum of care to efficaciously promote, prevent, and rehabilitate cardiovascular disease.
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spelling pubmed-74110942020-09-15 Time-series study of cardiovascular rates in India: A systematic analysis between 1990 and 2017 Banerjee, Srikanta Huth, John K. Indian Heart J Research Brief Cardiovascular disease represents a significant public health issue and places an immense burden on India's citizens, families, health systems, and the population. Predictive models provide structure and direction in anticipating future needs. This time-series study employed Box–Jenkins time series modeling to forecast 2030 prevalence and mortality rates of stroke, ischemic heart disease, and cardiovascular disease. The 2030 projected cardiovascular disease prevalence rate was predicted to increase to 5.26% (95% prediction interval, 5.19%–5.28%), with major contributors being stroke and ischemic heart disease. The authors propose increased investment across the continuum of care to efficaciously promote, prevent, and rehabilitate cardiovascular disease. Elsevier 2020 2020-05-29 /pmc/articles/PMC7411094/ /pubmed/32768021 http://dx.doi.org/10.1016/j.ihj.2020.05.014 Text en © 2020 Cardiological Society of India. Published by Elsevier B.V. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Brief
Banerjee, Srikanta
Huth, John K.
Time-series study of cardiovascular rates in India: A systematic analysis between 1990 and 2017
title Time-series study of cardiovascular rates in India: A systematic analysis between 1990 and 2017
title_full Time-series study of cardiovascular rates in India: A systematic analysis between 1990 and 2017
title_fullStr Time-series study of cardiovascular rates in India: A systematic analysis between 1990 and 2017
title_full_unstemmed Time-series study of cardiovascular rates in India: A systematic analysis between 1990 and 2017
title_short Time-series study of cardiovascular rates in India: A systematic analysis between 1990 and 2017
title_sort time-series study of cardiovascular rates in india: a systematic analysis between 1990 and 2017
topic Research Brief
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7411094/
https://www.ncbi.nlm.nih.gov/pubmed/32768021
http://dx.doi.org/10.1016/j.ihj.2020.05.014
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