dc.creator |
de Walque, Damien |
|
dc.creator |
Filmer, Deon |
|
dc.date |
2012-03-19T18:03:12Z |
|
dc.date |
2012-03-19T18:03:12Z |
|
dc.date |
2011-06-01 |
|
dc.date.accessioned |
2023-02-17T20:57:36Z |
|
dc.date.available |
2023-02-17T20:57:36Z |
|
dc.identifier |
http://www-wds.worldbank.org/external/default/main?menuPK=64187510&pagePK=64193027&piPK=64187937&theSitePK=523679&menuPK=64187510&searchMenuPK=64187283&siteName=WDS&entityID=000158349_20110630104028 |
|
dc.identifier |
http://hdl.handle.net/10986/3480 |
|
dc.identifier.uri |
http://localhost:8080/xmlui/handle/CUHPOERS/244444 |
|
dc.description |
The authors combine data from 84
Demographic and Health Surveys from 46 countries to analyze
trends and socioeconomic differences in adult mortality,
calculating mortality based on the sibling mortality reports
collected from female respondents aged 15-49. The analysis
yields four main findings. First, adult mortality is
different from child mortality: while under-5 mortality
shows a definite improving trend over time, adult mortality
does not, especially in Sub-Saharan Africa. The second main
finding is the increase in adult mortality in Sub-Saharan
African countries. The increase is dramatic among those most
affected by the HIV/AIDS pandemic. Mortality rates in the
highest HIV-prevalence countries of southern Africa exceed
those in countries that experienced episodes of civil war.
Third, even in Sub-Saharan countries where HIV-prevalence is
not as high, mortality rates appear to be at best
stagnating, and even increasing in several cases. Finally,
the main socioeconomic dimension along which mortality
appears to differ in the aggregate is gender. Adult
mortality rates in Sub-Saharan Africa have risen
substantially higher for men than for women especially so in
the high HIV-prevalence countries. On the whole, the data do
not show large gaps by urban/rural residence or by school attainment. |
|
dc.language |
English |
|
dc.relation |
Policy Research working paper ; no. WPS 5716 |
|
dc.rights |
CC BY 3.0 IGO |
|
dc.rights |
http://creativecommons.org/licenses/by/3.0/igo |
|
dc.rights |
World Bank |
|
dc.subject |
ACCESS TO HEALTH SERVICES |
|
dc.subject |
ADULT HEALTH |
|
dc.subject |
ADULT MORTALITY |
|
dc.subject |
ADULT POPULATION |
|
dc.subject |
AGE GROUPS |
|
dc.subject |
AGING |
|
dc.subject |
AIDS EPIDEMIC |
|
dc.subject |
ANTENATAL CARE |
|
dc.subject |
BIASES |
|
dc.subject |
BIRTHS |
|
dc.subject |
CALCULATION |
|
dc.subject |
CENTER FOR HEALTH |
|
dc.subject |
CHILD MORTALITY |
|
dc.subject |
CIVIL WAR |
|
dc.subject |
COUNTING |
|
dc.subject |
CULTURAL CHANGE |
|
dc.subject |
DECLINES IN MORTALITY |
|
dc.subject |
DEVELOPING COUNTRIES |
|
dc.subject |
DEVELOPMENT POLICY |
|
dc.subject |
DIARRHEA |
|
dc.subject |
DISEASES |
|
dc.subject |
DISPARITIES IN HEALTH |
|
dc.subject |
DUMMY VARIABLES |
|
dc.subject |
ECONOMIC CHANGE |
|
dc.subject |
ECONOMIC DEVELOPMENT |
|
dc.subject |
EDUCATED MEN |
|
dc.subject |
EDUCATED WOMEN |
|
dc.subject |
EDUCATIONAL ATTAINMENT |
|
dc.subject |
EPIDEMIC |
|
dc.subject |
EQUATIONS |
|
dc.subject |
EXCESS MORTALITY |
|
dc.subject |
FAMILIES |
|
dc.subject |
FAMILY PLANNING |
|
dc.subject |
FEMALE MORTALITY |
|
dc.subject |
FERTILITY |
|
dc.subject |
GENDER GAP |
|
dc.subject |
GENDER GAPS |
|
dc.subject |
GENOCIDE |
|
dc.subject |
GLOBAL AIDS EPIDEMIC |
|
dc.subject |
HEALTH POLICY |
|
dc.subject |
HEALTH TECHNOLOGIES |
|
dc.subject |
HIV |
|
dc.subject |
HIV INFECTION |
|
dc.subject |
HIV/AIDS |
|
dc.subject |
HUMAN DEVELOPMENT |
|
dc.subject |
IMMUNIZATION |
|
dc.subject |
INCOME INEQUALITY |
|
dc.subject |
LEVEL OF EDUCATION |
|
dc.subject |
LEVELS OF MORTALITY |
|
dc.subject |
MALE MORTALITY |
|
dc.subject |
MALES |
|
dc.subject |
MALNUTRITION |
|
dc.subject |
MARRIED WOMEN |
|
dc.subject |
MATERNAL MORTALITY |
|
dc.subject |
MODERN CONTRACEPTION |
|
dc.subject |
MORTALITY DECLINES |
|
dc.subject |
MORTALITY LEVELS |
|
dc.subject |
MORTALITY RATE |
|
dc.subject |
MORTALITY RATES |
|
dc.subject |
MOTHER |
|
dc.subject |
MULTIVARIATE ANALYSIS |
|
dc.subject |
NATIONAL LEVEL |
|
dc.subject |
NUMBER OF CHILDREN |
|
dc.subject |
NUMBER OF DEATHS |
|
dc.subject |
NUTRITION |
|
dc.subject |
PANDEMIC |
|
dc.subject |
POLICY DISCUSSIONS |
|
dc.subject |
POLICY RESEARCH |
|
dc.subject |
POLICY RESEARCH WORKING PAPER |
|
dc.subject |
POOR HEALTH |
|
dc.subject |
POPULATION AND DEVELOPMENT |
|
dc.subject |
POPULATION HEALTH |
|
dc.subject |
POPULATION STUDIES |
|
dc.subject |
POPULATION SUBGROUP |
|
dc.subject |
PREDICTIONS |
|
dc.subject |
PREMATURE ADULT MORTALITY |
|
dc.subject |
PRIMARY EDUCATION |
|
dc.subject |
PRIMARY SCHOOL |
|
dc.subject |
PRIMARY SCHOOLING |
|
dc.subject |
PROBABILITIES |
|
dc.subject |
PROBABILITY |
|
dc.subject |
PROGRESS |
|
dc.subject |
PUBLIC HEALTH |
|
dc.subject |
PUBLIC SERVICES |
|
dc.subject |
REGISTRATION SYSTEMS |
|
dc.subject |
REGRESSION ANALYSES |
|
dc.subject |
RESPIRATORY INFECTIONS |
|
dc.subject |
RURAL AREAS |
|
dc.subject |
RURAL RESIDENCE |
|
dc.subject |
RURAL WOMEN |
|
dc.subject |
SECONDARY EDUCATION |
|
dc.subject |
SEX |
|
dc.subject |
SEXUAL ACTIVITY |
|
dc.subject |
SIBLINGS |
|
dc.subject |
SOCIOECONOMIC DIFFERENCES |
|
dc.subject |
SOCIOECONOMIC STATUS |
|
dc.subject |
STANDARD ERRORS |
|
dc.subject |
URBAN AREAS |
|
dc.subject |
URBAN WOMEN |
|
dc.subject |
URBANIZATION |
|
dc.subject |
VIOLENCE |
|
dc.subject |
YOUNG WOMEN |
|
dc.subject |
Microdata Set |
|
dc.title |
Trends and Socioeconomic Gradients in Adult Mortality around the Developing World |
|
dc.type |
Publications & Research :: Policy Research Working Paper |
|
dc.type |
Publications & Research |
|
dc.coverage |
Africa |
|
dc.coverage |
Africa |
|
dc.coverage |
The World Region |
|
dc.coverage |
The World Region |
|