Demographic transition in India: an evolutionary interpretation of population and health trends using 'change-point analysis'.

<h4>Background and rationale</h4>Lack of a robust analytical tool for trend analysis of population and health indicators is the basic rationale of this study. In an effort to fill this gap, this study advances 'Change-Point analyzer' as a new analytical tool for assessment of t...

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Autores principales:	Srinivas Goli, Perianayagam Arokiasamy
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/a0817e3f00bc49a1b0f9e9b4a5b04b3a
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spelling	oai:doaj.org-article:a0817e3f00bc49a1b0f9e9b4a5b04b3a2021-11-18T08:50:28ZDemographic transition in India: an evolutionary interpretation of population and health trends using 'change-point analysis'.1932-620310.1371/journal.pone.0076404https://doaj.org/article/a0817e3f00bc49a1b0f9e9b4a5b04b3a2013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24204621/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background and rationale</h4>Lack of a robust analytical tool for trend analysis of population and health indicators is the basic rationale of this study. In an effort to fill this gap, this study advances 'Change-Point analyzer' as a new analytical tool for assessment of the progress and its pattern in population and health indicators.<h4>Methodology/principal findings</h4>The defining feature of 'change-point analyzer' is that, it detects subtle changes that are often missed in simple trend line plots and also quantified the volume of change that is not possible in simple trend line plots. A long-term assessment of 'change-point analyses' of trends in population and health indicators such as IMR, Population size, TFR, and LEB in India show multiple points of critical changes. Measured change points of demographic and health trends helps in understanding the demographic transitional shifts connecting it to contextual policy shifts. Critical change-points in population and health indicators in India are associated with the evolution of structural changes in population and health policy framework.<h4>Conclusions</h4>This study, therefore, adds significantly to the evolutionary interpretation of critical change-points in long-term trajectories of population and health indicators vis-a-vis population and health policy shifts in India. The results have not only helped in reassessing the historical past and the current demographic transition trajectory but also advanced a new method of assessing the population and health trends which are necessary for robust monitoring of the progress in population and health policies.Srinivas GoliPerianayagam ArokiasamyPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 10, p e76404 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Srinivas Goli Perianayagam Arokiasamy Demographic transition in India: an evolutionary interpretation of population and health trends using 'change-point analysis'.
description	<h4>Background and rationale</h4>Lack of a robust analytical tool for trend analysis of population and health indicators is the basic rationale of this study. In an effort to fill this gap, this study advances 'Change-Point analyzer' as a new analytical tool for assessment of the progress and its pattern in population and health indicators.<h4>Methodology/principal findings</h4>The defining feature of 'change-point analyzer' is that, it detects subtle changes that are often missed in simple trend line plots and also quantified the volume of change that is not possible in simple trend line plots. A long-term assessment of 'change-point analyses' of trends in population and health indicators such as IMR, Population size, TFR, and LEB in India show multiple points of critical changes. Measured change points of demographic and health trends helps in understanding the demographic transitional shifts connecting it to contextual policy shifts. Critical change-points in population and health indicators in India are associated with the evolution of structural changes in population and health policy framework.<h4>Conclusions</h4>This study, therefore, adds significantly to the evolutionary interpretation of critical change-points in long-term trajectories of population and health indicators vis-a-vis population and health policy shifts in India. The results have not only helped in reassessing the historical past and the current demographic transition trajectory but also advanced a new method of assessing the population and health trends which are necessary for robust monitoring of the progress in population and health policies.
format	article
author	Srinivas Goli Perianayagam Arokiasamy
author_facet	Srinivas Goli Perianayagam Arokiasamy
author_sort	Srinivas Goli
title	Demographic transition in India: an evolutionary interpretation of population and health trends using 'change-point analysis'.
title_short	Demographic transition in India: an evolutionary interpretation of population and health trends using 'change-point analysis'.
title_full	Demographic transition in India: an evolutionary interpretation of population and health trends using 'change-point analysis'.
title_fullStr	Demographic transition in India: an evolutionary interpretation of population and health trends using 'change-point analysis'.
title_full_unstemmed	Demographic transition in India: an evolutionary interpretation of population and health trends using 'change-point analysis'.
title_sort	demographic transition in india: an evolutionary interpretation of population and health trends using 'change-point analysis'.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/a0817e3f00bc49a1b0f9e9b4a5b04b3a
work_keys_str_mv	AT srinivasgoli demographictransitioninindiaanevolutionaryinterpretationofpopulationandhealthtrendsusingchangepointanalysis AT perianayagamarokiasamy demographictransitioninindiaanevolutionaryinterpretationofpopulationandhealthtrendsusingchangepointanalysis
_version_	1718421278408310784

Demographic transition in India: an evolutionary interpretation of population and health trends using 'change-point analysis'.

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