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Mendeley readers
| Title |
Mortalidad por cáncer pulmonar en Chile: tendencia y proyección a seis años con modelos lineales dinámicos bayesianos
|
|---|---|
| Published in |
Cadernos de Saúde Pública, September 2015
|
| DOI | 10.1590/0102-311x00194313 |
| Pubmed ID | |
| Authors |
Francisco Torres-Avilés, Tomás Moraga, Loreto Núñez, Gloria Icaza |
| Abstract |
The objectives were to analyze lung cancer mortality trends in Chile from 1990 to 2009, and to project the rates six years forward. Lung cancer mortality data were obtained from the Chilean Ministry of Health. To obtain mortality rates, population projections were used, based on the 2002 National Census. Rates were adjusted using the world standard population as reference. Bayesian dynamic linear models were fitted to estimate trends from 1990 to 2009 and to obtain projections for 2010-2015. During the period under study, there was a 19.9% reduction in the lung cancer mortality rate in men. In women, there was increase of 28.4%. The second-order model showed a better fit for men, and the first-order model a better fit for women. Between 2010 and 2015 the downward trend continued in men, while a trend to stabilization was projected for lung cancer mortality in women in Chile. This analytical approach could be useful implement surveillance systems for chronic non-communicable disease and to evaluate preventive strategies. |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 7 | 30% |
| Student > Ph. D. Student | 2 | 9% |
| Student > Doctoral Student | 1 | 4% |
| Lecturer | 1 | 4% |
| Professor | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 10 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 3 | 13% |
| Nursing and Health Professions | 3 | 13% |
| Biochemistry, Genetics and Molecular Biology | 2 | 9% |
| Medicine and Dentistry | 2 | 9% |
| Agricultural and Biological Sciences | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 11 | 48% |