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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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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. |
format | Online Article Text |
id | pubmed-6795489 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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