The Models of Age-specific Mortality Rates and Their Patterns from Female Total Population Counts
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Abstract
If net migration is negligible, population change in a country is governed by an increase due to births and a decrease due to deaths. This study focuses on the mortality of female population based on their total fertility rates. It develops a simple method to analyze population data with the aim to estimate age-specific mortality models for 54 countries in the world and identify a similar pattern among them. Specifically, the method involves estimating the mortality rates of those countries with negligible net age-specific migration to form the common models. These models are then applied to other countries by matching mortality at older ages to verify similar patterns. The results show three different mortality models which imply the differences in the mortality patterns between the countries studied.
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• Adegboye, O. A. & Danelle, K. (2014). Causes and patterns of morbidity and mortality in Afghanistan: Joint estimation of multiple causes in the neonatal period. Canadian Studies in Population, 41(1-2), 165-179.
• Alkema, L., Chou, D., Hogan, D., Zhang, S., Moller, A. B., Gemmill, A.,… & Say, L. (2016). Global, regional, and national levels and trends in maternal mortality between 1990 and 2015, with scenario-based projections to 2030: A systematic analysis by the UN maternal mortality estimation inter-agency group. The Lancet, 387(10017), 462-474.
• Angel, J. L. (2003). Devolution and the social welfare of elderly immigrants: Who will bear the burden? Public Administration Review, 63(1), 79-89.
• Bangha, M. W. (2013). Estimating adult mortality in Cameroon from census data on household deaths: 1976-1987. African Population Studies, 23(2), 223-247.
• Bayati, M., Vahedi, S., Esmaeilzadeh, F., Kavosi, Z., Jamali, Z., Rajabi, A. & Alimohamadi, Y. (2016). Determinants of maternal mortality in Eastern Mediterranean region: A panel data analysis. MedicalJournal of the Islamic Republic of Iran, 30, 360.
• Brown, J. R. (2003). Redistribution and insurance: Mandatory annuitization with mortality heterogeneity. Journal of Risk and Insurance, 70(1), 17-41.
• Bennett, N. G. & Horiuchi, S. (1981). Estimating the completeness of death registration in a closed population. Population Index, 47(2), 207-221.
• Chaudhuri, S. (2015). Excess female infant mortality and the gender gap in infant care in Bihar, India. Feminist Economics, 21(2), 131-161.
• Clark, S. J. & Sharrow, D. J. (2011). Contemporary model life tables for developed countries. An application of model-based clustering. In center for statistics and the social sciences: University of Washington. 107, 1–38.
• Coale & Demeny, P.G. (1966). Regional model life tables and stable populations. Princeton university press, office of population research, USA.
• Hill, K. & Pebley, A. R. (1989). Child mortality in the developing world. Population and Development Review, 15(4), 657-687.
• Hill, K., Thomas, K., AbouZahr, C., Walker, N., Say, L., Inoue, M. & Maternal Mortality Working Group. (2007). Estimates of maternal mortality worldwide between 1990 and 2005: an assessment of available data. The Lancet, 370(9595), 1311-1319.
• Hill, K., You, D., Inoue, M. & Oestergaard, M. Z. (2012). Child mortality estimation: Accelerated progress in reducing global child mortality, 1990–2010. PLoS Medicine, 9(8), e1001303.
• Johri, M., Ridde, V., Heinmüller, R. & Haddad, S. (2014). Estimation of maternal and child mortality one year after user-fee elimination: An impact evaluation and modelling study in Burkina Faso. Bulletin of the World Health Organization, 92(10), 706-715.
• Liang, J., Zhu, J., Dai, L., Li, X., Li, M. & Wang, Y. (2010). Maternal mortality in China, 1996–2005. International Journal of Gynecology & Obstetrics, 110(2), 93-96.
• Liu, L., Oza, S., Hogan, D., Perin, J., Rudan, I., Lawn, J. E. & Black, R. E. (2015). Global, regional, and national causes of child mortality in 2000–13, with projections to inform post-2015 priorities: An updated systematic analysis. The Lancet, 385(9966), 430-440.
• Luy, M. (2012). Estimating mortality differences in developed countries from survey information on maternal and paternal orphanhood. Demography, 49(2), 607-627.
• Mackenbach, J. P., Kunst, A. E., Cavelaars, A. E., Groenhof, F., Geurts, J. J. & EU Working group on socioeconomic inequalities in health (1997). Socioeconomic inequalities in morbidity and mortality in Western Europe. The Lancet, 349(9066), 1655-1659.
• Meslé, F. & Vallin, J. (2010). Mortality patterns and their implications. Demography, I, 185.
• Pirkis, J., Currier, D., Carlin, J., Degenhardt, L., Dharmage, S. C., Giles-Corti, B. & Keogh, L. (2016). Cohort profile: Ten to men (the Australian longitudinal study on male health). International Journal of Epidemiology, 46(3), 793-794i.
• Preston, s. h. & Bennett, n. g. (1983). A census-based method for estimating adult mortality. Population Studies, 37(1), 91-104.
• Preston, S., Coale, A. J., Trussell, J. & Weinstein, M. (1980). Estimating the completeness of reporting of adult deaths in populations that are approximately stable. Population Index, 46(2), 179-202.
• Raftery, A. E., Chunn, J. L., Gerland, P. & Ševčíková, H. (2013). Bayesian probabilistic projections of life expectancy for all countries. Demography, 50(3), 777-801.
• Sawyer, C. C. (2012). Child mortality estimation: Estimating sex differences in childhood mortality since the 1970s. PLoS Medicine, 9(8), e1001287.
• Schröder, A., van Leeuwen, A. & Cameron, T. C. (2014). When less is more: Positive population-level effects of mortality. Trends in Ecology & Evolution, 29(11), 614-624.
• Sharrow, D. J., Clark, S. J. & Raftery, A. E. (2014). Modeling age-specific mortality for countries with generalized HIV epidemics. PloS One, 9(5), e96447.
• Shelton, J. D. (2014). Taking exception. Reduced mortality leads to population growth: An inconvenient truth. Global Health: Science and Practice, 2(2), 135-138.
• Stevens, G. A., Mathers, C. D. & Beard, J. R. (2013). Global mortality trends and patterns in older women. Bulletin of the World Health Organization, 91(9), 630-639.
• Tabutin, D., Schoumaker, B. & Rabenoro, M. (2004). The demography of Sub-Saharan Africa from the 1950s to the 2000s. Population, 59(3), 455-555.
• United Nations Programme on HIV and AIDS (2013). Report on the global AIDS epidemic. Retrieved on January 20, 2017 from http://www.unaids.org/sites/default/files/media_asset/UNAIDS_ Global_Report_2013_en_1.pdf.
• United Nations. (2015a). World's women trends and statistics. Retrieved on March 12, 2017 from https://unstats.un.org/unsd/gender/downloads/worlds women 2015 _ report.pdf.
• United Nations. (2015b). Report of international migration. Retrieved on August 20, 2017 from http://www.un. org/en/development/desa/population/migration/publications/migrationreport/docs/MigrationReport2015_Highlights.pdf.
• United Nations Children's Fund. (2015). Levels and trends in child mortality. Retrieved on March 20, 2017 from https:// www.unicef.org/publications/files/Child_Mortality_Report_2015_ Web_9_Sept_15.pdf.
• United Nations Children's Fund. (2016). A fair chance for every child: State of the world's children. Retrieved on February 20, 2017 from https://www.unicef.org/publications/files/UNICEF_ SOWC_2016.pdf.
• United Nations Economic Commission for Africa. (2016). Demographic profile of African countries. Retrieved on February 20, 2017 from http://www.uneca.org/sites/default/files/PublicationFiles/demographic_profile_rev_ april_25.pdf.
• United Nations. (2017). World population prospective: Population division. Retrieved on June3, 2018 from https://esa.un.org/unpd/wpp/dataquery/.
• Upadhyay, U. D., Gipson, J. D., Withers, M., Lewis, S., Ciaraldi, E. J., Fraser, A. & Prata, N. (2014). Women's empowerment and fertility: a Review of the literature. Social Science & Medicine, 115, 111-120.
• US Census Bureau. (2016). International data base. Retrieved on January 20, 2017 from https://www. Census.gov/population/international/data/idb/information Gateway.php.
• Véron, J., Horko, K., Kneipp, R. & Rogers, G. (2008). The demography of South Asia from the 1950s to the 2000s: A summary of changes and a statistical assessment. Population, 63(1), 9-89.
• World Bank. (2012). World development report: Gender equality and development. Retrieved on June20, 2017 from https://siteresources.worldbank.org/INTWDR2012/Resources/.../Complete-report.pdf.
• Wilmoth, J., Zureick, S., Canudas-Romo, V., Inoue, M. & Sawyer, C. (2012). A flexible two-dimensional mortality model for use in indirect estimation. Population Studies, 66(1), 1-28.
• World Data Atlas. (2016). World and regional statistics. Retrieved on June 12, 2017 from https://knoema.com/atlas.
• World Health Organization. (2004). Report on changing history: Trends of HIV infections, therapy and AIDS. Retrieved on July 25, 2017 from http://www.who.int/whr/2004/en/report04_en.pdf.
• World Health Organization. (2015a). Under-five mortality: Global health observatory data. Retrieved on July 20, 2017 from http://www.who.int/gho/child_health/mortality/mortality_under_five/en/.
• World Health Organization. (2015b). Trends in maternal mortality: Estimates from WHO, UNICEF, UNFPA, World Bank Group and the United Nations Population Division. Retrieved on August 19, 2017 from http://www.afro.who.int/sites/default/files/2017-05/trends-in-maternal-mortality-1990-to-2015.pdf.
• World Health Organization. (2016). Migration and health key issue: Refugees and migrants: common health problems. Retrieved on October 14, 2017 from http://www.euro.who.int/__data/assets/pdf_ file/0005/293270/Migration-Health-Key-Issues-.pdf?ua=1.