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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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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. |
format | Online Article Text |
id | pubmed-7411094 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT banerjeesrikanta timeseriesstudyofcardiovascularratesinindiaasystematicanalysisbetween1990and2017 AT huthjohnk timeseriesstudyofcardiovascularratesinindiaasystematicanalysisbetween1990and2017 |