Projections of Global Mortality and Burden of Disease from 2002 to 2030

@article{Mathers2006ProjectionsOG,
  title={Projections of Global Mortality and Burden of Disease from 2002 to 2030},
  author={Colin Douglas Mathers and Dejan Loncar},
  journal={PLoS Medicine},
  year={2006},
  volume={3},
  pages={325 - 397}
}
BACKGROUND Global and regional projections of mortality and burden of disease by cause for the years 2000, 2010, and 2030 were published by Murray and Lopez in 1996 as part of the Global Burden of Disease project. These projections, which are based on 1990 data, continue to be widely quoted, although they are substantially outdated; in particular, they substantially underestimated the spread of HIV/AIDS. To address the widespread demand for information on likely future trends in global health… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 41 references

Alternative visions of the future: projecting mortality and disability, 1990–2020

CJL Murray, AD Lopez
1996
View 17 Excerpts
Highly Influenced

The global burden of disease: A comprehensive assessment of mortality and disability from diseases, injuries and risk factors in 1990 and projected to 2020

CJL Murray, AD Lopez
1996
View 14 Excerpts
Highly Influenced

Demographic forecasting. Cambridge (Massachusetts): Center for Basic Research in the Social Sciences, Harvard University

F Girosi, G King
2003
View 3 Excerpts
Highly Influenced

The Lee-Carter method of forecasting mortality, with various extensions and applications

RD Lee
NAAJ • 2000
View 4 Excerpts
Highly Influenced

Modelling and forecasting the time series of US mortality

RD Lee, L Carter
J Am Stat Assoc • 1992
View 4 Excerpts
Highly Influenced

Predicting the future burden of cancer

Nature Reviews Cancer • 2006
View 1 Excerpt

Sensitivity and uncertainty analyses for burden of disease and risk factor estimates

CD Mathers, JA Salomon, M Ezzati, S Begg, AD Lopez
2006
View 2 Excerpts

Team (2005) The SuRF Report 2

WHO Global Infobas
Surveillance of chronic disease risk factors: country-level data and comparable estimates. Geneva: WHO. Available: https://www.who.int/ncd_surveillance/infobase/ web/surf2/start.html. Accessed 27 October • 2006
View 1 Excerpt

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