| Title |
Development of Methodology for Disability-Adjusted Life Years (DALYs) Calculation Based on Real-Life Data
|
|---|---|
| Published in |
PLOS ONE, September 2013
|
| DOI | 10.1371/journal.pone.0074294 |
| Pubmed ID | |
| Authors |
Ellen A. Struijk, Anne M. May, Joline W. J. Beulens, G. Ardine de Wit, Jolanda M. A. Boer, N. Charlotte Onland-Moret, Yvonne T. van der Schouw, H. Bas Bueno-de-Mesquita, Jeljer Hoekstra, Petra H. M. Peeters |
| Abstract |
Disability-Adjusted Life Years (DALYs) have the advantage that effects on total health instead of on a specific disease incidence or mortality can be estimated. Our aim was to address several methodological points related to the computation of DALYs at an individual level in a follow-up study. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Zimbabwe | 1 | 33% |
| United States | 1 | 33% |
| United Kingdom | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Portugal | 1 | <1% |
| Unknown | 100 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 26 | 25% |
| Student > Master | 20 | 20% |
| Student > Ph. D. Student | 10 | 10% |
| Student > Bachelor | 9 | 9% |
| Student > Doctoral Student | 5 | 5% |
| Other | 17 | 17% |
| Unknown | 15 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 30 | 29% |
| Social Sciences | 10 | 10% |
| Nursing and Health Professions | 9 | 9% |
| Agricultural and Biological Sciences | 6 | 6% |
| Economics, Econometrics and Finance | 6 | 6% |
| Other | 21 | 21% |
| Unknown | 20 | 20% |