Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao http://dx.doi.org/10...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
http://dx.doi.org/10.1093/acpr...
Part of book or chapter of book . 2014
https://doi.org/10.1093/acprof...
Part of book or chapter of book . 2014 . Peer-reviewed
Data sources: Crossref
https://doi.org/10.1093/oso/97...
Part of book or chapter of book . 2017 . Peer-reviewed
Data sources: Crossref
versions View all 3 versions
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Future Mortality in High Mortality Countries

Authors: Garbero, A.; Pamuk, E.;

Future Mortality in High Mortality Countries

Abstract

The theory and empirical basis of the demographic transition includes the important role played by mortality declines in generating a societal shift from high mortality and high fertility to low mortality and low fertility. In particular, it is the improved survival of children into adulthood that initially produces increasingly large populations with a very young age structure. Because the level of childhood mortality is strongly linked to fertility levels (Angeles, 2010; Becker and Barro, 1988) and adult mortality rates, the definition of a high mortality country used in the IIASA–Oxford survey reported in this book is in terms of the level of childhood mortality, that is, the probability of death before the age of five (5q0 in the life table designation). In accordance with recent practice at the World Health Organization (WHO) and UNICEF in monitoring progress toward the Millennium Development Goals, we use a cutoff point of 40 deaths before age 5 per thousand live births to designate a country as having high mortality (Hill et al., 2012). In 2010, the under-5 mortality rate exceeded 40 in one-third of the 193 member countries of United Nations (UN), and in only one of these countries did life expectancy at birth exceed 70 years (Azerbaijan, e0 = 70.1) (United Nations, 2011a). Despite its relatively low under-five mortality rate (estimated at 0.025 in 2011), Botswana is also considered here as a country with high mortality because its life expectancy is estimated at 53 years (United Nations, 2011a). The geographic distribution of these countries is shown in Figure 6.1, while Table 6.1 lists all 65 high mortality countries, along with current estimates of life expectancy, child mortality, and the change in life expectancy between the periods 1995–2005 and 2005–2010. As shown, high mortality countries include all of sub-Saharan Africa except the island nations of Cape Verde, Mauritius, Mayotte, and Réunion. Most of South Asia meets the criterion of high mortality, including the populous countries of India, Pakistan, and Bangladesh. Many demographers have, over the last 50 years, predicted a general convergence worldwide toward low mortality and fertility resulting in higher levels of life expectancy.

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    5
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Average
Average
Upload OA version
Are you the author? Do you have the OA version of this publication?