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Is recent Afghanistan survey data suitable for fertility analysis? A regional investigation based on fertility inhibiting determinants

Afghanistan has been a country blighted by war over the past five decades and limited research is available on its demography. This study seeks to assess the suitability of recent survey data for Afghanistan (the 2010 Afghanistan Mortality Survey (AMS)and the 2015 Afghanistan Demographic and Health...

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Autores principales: Nasir, Jamal Abdul, Akhtar, Sohail, Ahmed Zaidi, Syed Arif, Rani, Andleeb, Bano, Hina, Hinde, Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6795489/
https://www.ncbi.nlm.nih.gov/pubmed/31618275
http://dx.doi.org/10.1371/journal.pone.0223111
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author Nasir, Jamal Abdul
Akhtar, Sohail
Ahmed Zaidi, Syed Arif
Rani, Andleeb
Bano, Hina
Hinde, Andrew
author_facet Nasir, Jamal Abdul
Akhtar, Sohail
Ahmed Zaidi, Syed Arif
Rani, Andleeb
Bano, Hina
Hinde, Andrew
author_sort Nasir, Jamal Abdul
collection PubMed
description Afghanistan has been a country blighted by war over the past five decades and limited research is available on its demography. This study seeks to assess the suitability of recent survey data for Afghanistan (the 2010 Afghanistan Mortality Survey (AMS)and the 2015 Afghanistan Demographic and Health Survey (ADHS)) for estimating levels and trends in fertility. As several fertility measures rely on the quality of age data, we first apply demographic tools for the identification of age misreporting, finding evidence that it is severe. We then explore the consistency of fertility reporting across the two surveys, finding that the 2015 ADHS reports higher fertility among older women than the 2010 AMS although the seasonal pattern of fertility is consistent across the two surveys. We then estimate total fertility rates in 2008–2010 and 2012–2015 and measures of Bongaarts’s key proximate determinants of fertility for Afghanistan and its provinces for urban and rural areas separately. The results show that fertility is similar in urban and rural Afghanistan. Although most of the provincial data on the proximate determinants is reasonably consistent with the fertility rates, there are anomalies in some provinces which indicate the possible under-reporting of births. Overall, we conclude that the fertility data in the two surveys can be used with care to give an indication of broad regional fertility patterns and trends in the country.
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spelling pubmed-67954892019-10-20 Is recent Afghanistan survey data suitable for fertility analysis? A regional investigation based on fertility inhibiting determinants Nasir, Jamal Abdul Akhtar, Sohail Ahmed Zaidi, Syed Arif Rani, Andleeb Bano, Hina Hinde, Andrew PLoS One Research Article Afghanistan has been a country blighted by war over the past five decades and limited research is available on its demography. This study seeks to assess the suitability of recent survey data for Afghanistan (the 2010 Afghanistan Mortality Survey (AMS)and the 2015 Afghanistan Demographic and Health Survey (ADHS)) for estimating levels and trends in fertility. As several fertility measures rely on the quality of age data, we first apply demographic tools for the identification of age misreporting, finding evidence that it is severe. We then explore the consistency of fertility reporting across the two surveys, finding that the 2015 ADHS reports higher fertility among older women than the 2010 AMS although the seasonal pattern of fertility is consistent across the two surveys. We then estimate total fertility rates in 2008–2010 and 2012–2015 and measures of Bongaarts’s key proximate determinants of fertility for Afghanistan and its provinces for urban and rural areas separately. The results show that fertility is similar in urban and rural Afghanistan. Although most of the provincial data on the proximate determinants is reasonably consistent with the fertility rates, there are anomalies in some provinces which indicate the possible under-reporting of births. Overall, we conclude that the fertility data in the two surveys can be used with care to give an indication of broad regional fertility patterns and trends in the country. Public Library of Science 2019-10-16 /pmc/articles/PMC6795489/ /pubmed/31618275 http://dx.doi.org/10.1371/journal.pone.0223111 Text en © 2019 Nasir et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Nasir, Jamal Abdul
Akhtar, Sohail
Ahmed Zaidi, Syed Arif
Rani, Andleeb
Bano, Hina
Hinde, Andrew
Is recent Afghanistan survey data suitable for fertility analysis? A regional investigation based on fertility inhibiting determinants
title Is recent Afghanistan survey data suitable for fertility analysis? A regional investigation based on fertility inhibiting determinants
title_full Is recent Afghanistan survey data suitable for fertility analysis? A regional investigation based on fertility inhibiting determinants
title_fullStr Is recent Afghanistan survey data suitable for fertility analysis? A regional investigation based on fertility inhibiting determinants
title_full_unstemmed Is recent Afghanistan survey data suitable for fertility analysis? A regional investigation based on fertility inhibiting determinants
title_short Is recent Afghanistan survey data suitable for fertility analysis? A regional investigation based on fertility inhibiting determinants
title_sort is recent afghanistan survey data suitable for fertility analysis? a regional investigation based on fertility inhibiting determinants
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6795489/
https://www.ncbi.nlm.nih.gov/pubmed/31618275
http://dx.doi.org/10.1371/journal.pone.0223111
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