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The Impact of Infection on Population Health: Results of the Ontario Burden of Infectious Diseases Study

Overview of attention for article published in PLOS ONE, September 2012
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Title
The Impact of Infection on Population Health: Results of the Ontario Burden of Infectious Diseases Study
Published in
PLOS ONE, September 2012
DOI 10.1371/journal.pone.0044103
Pubmed ID
Authors

Jeffrey C. Kwong, Sujitha Ratnasingham, Michael A. Campitelli, Nick Daneman, Shelley L. Deeks, Douglas G. Manuel, Vanessa G. Allen, Ahmed M. Bayoumi, Aamir Fazil, David N. Fisman, Andrea S. Gershon, Effie Gournis, E. Jenny Heathcote, Frances B. Jamieson, Prabhat Jha, Kamran M. Khan, Shannon E. Majowicz, Tony Mazzulli, Allison J. McGeer, Matthew P. Muller, Abhishek Raut, Elizabeth Rea, Robert S. Remis, Rita Shahin, Alissa J. Wright, Brandon Zagorski, Natasha S. Crowcroft

Abstract

Evidence-based priority setting is increasingly important for rationally distributing scarce health resources and for guiding future health research. We sought to quantify the contribution of a wide range of infectious diseases to the overall infectious disease burden in a high-income setting.

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The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 179 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Brazil 2 1%
Canada 1 <1%
Japan 1 <1%
Denmark 1 <1%
Unknown 171 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 15%
Student > Master 21 12%
Student > Bachelor 19 11%
Student > Ph. D. Student 17 9%
Professor > Associate Professor 15 8%
Other 37 21%
Unknown 43 24%
Readers by discipline Count As %
Medicine and Dentistry 51 28%
Agricultural and Biological Sciences 19 11%
Social Sciences 10 6%
Nursing and Health Professions 9 5%
Biochemistry, Genetics and Molecular Biology 8 4%
Other 30 17%
Unknown 52 29%