| Title |
Comparative Analysis of Old-Age Mortality Estimations in Africa
|
|---|---|
| Published in |
PLOS ONE, October 2011
|
| DOI | 10.1371/journal.pone.0026607 |
| Pubmed ID | |
| Authors |
Eran Bendavid, Benjamin Seligman, Jessica Kubo |
| Abstract |
Survival to old ages is increasing in many African countries. While demographic tools for estimating mortality up to age 60 have improved greatly, mortality patterns above age 60 rely on models based on little or no demographic data. These estimates are important for social planning and demographic projections. We provide direct estimations of older-age mortality using survey data. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Singapore | 1 | 4% |
| Unknown | 23 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 5 | 21% |
| Student > Ph. D. Student | 5 | 21% |
| Researcher | 4 | 17% |
| Student > Postgraduate | 2 | 8% |
| Student > Bachelor | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 5 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 21% |
| Nursing and Health Professions | 2 | 8% |
| Economics, Econometrics and Finance | 2 | 8% |
| Engineering | 2 | 8% |
| Social Sciences | 2 | 8% |
| Other | 3 | 13% |
| Unknown | 8 | 33% |