Title |
Influenza Vaccine Effectiveness in the Elderly Based on Administrative Databases: Change in Immunization Habit as a Marker for Bias
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Published in |
PLOS ONE, July 2011
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DOI | 10.1371/journal.pone.0022618 |
Pubmed ID | |
Authors |
Travis S. Hottes, Danuta M. Skowronski, Brett Hiebert, Naveed Z. Janjua, Leslie L. Roos, Paul Van Caeseele, Barbara J. Law, Gaston De Serres |
Abstract |
Administrative databases provide efficient methods to estimate influenza vaccine effectiveness (IVE) against severe outcomes in the elderly but are prone to intractable bias. This study returns to one of the linked population databases by which IVE against hospitalization and death in the elderly was first assessed. We explore IVE across six more recent influenza seasons, including periods before, during, and after peak activity to identify potential markers for bias. |
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 % |
---|---|---|
United States | 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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 1% |
United States | 1 | 1% |
Australia | 1 | 1% |
Unknown | 67 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 16 | 23% |
Researcher | 16 | 23% |
Student > Bachelor | 7 | 10% |
Student > Master | 5 | 7% |
Other | 4 | 6% |
Other | 12 | 17% |
Unknown | 10 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 23 | 33% |
Agricultural and Biological Sciences | 6 | 9% |
Nursing and Health Professions | 3 | 4% |
Social Sciences | 3 | 4% |
Mathematics | 3 | 4% |
Other | 14 | 20% |
Unknown | 18 | 26% |