| Title |
Effectiveness of Inactivated Influenza Vaccines in Preventing Influenza-Associated Deaths and Hospitalizations among Ontario Residents Aged ≥65 Years: Estimates with Generalized Linear Models Accounting for Healthy Vaccinee Effects
|
|---|---|
| Published in |
PLOS ONE, October 2013
|
| DOI | 10.1371/journal.pone.0076318 |
| Pubmed ID | |
| Authors |
Benjamin J. Ridenhour, Michael A. Campitelli, Jeffrey C. Kwong, Laura C. Rosella, Ben G. Armstrong, Punam Mangtani, Andrew J. Calzavara, David K. Shay |
| Abstract |
Estimates of the effectiveness of influenza vaccines in older adults may be biased because of difficulties identifying and adjusting for confounders of the vaccine-outcome association. We estimated vaccine effectiveness for prevention of serious influenza complications among older persons by using methods to account for underlying differences in risk for these complications. |
X Demographics
The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 4 | 25% |
| United States | 3 | 19% |
| United Kingdom | 1 | 6% |
| Italy | 1 | 6% |
| Unknown | 7 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 56% |
| Practitioners (doctors, other healthcare professionals) | 6 | 38% |
| Scientists | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 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% |
| Unknown | 66 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 21% |
| Student > Ph. D. Student | 10 | 15% |
| Student > Master | 10 | 15% |
| Student > Bachelor | 8 | 12% |
| Professor | 4 | 6% |
| Other | 11 | 16% |
| Unknown | 11 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 29% |
| Nursing and Health Professions | 7 | 10% |
| Agricultural and Biological Sciences | 4 | 6% |
| Mathematics | 4 | 6% |
| Social Sciences | 3 | 4% |
| Other | 14 | 21% |
| Unknown | 16 | 24% |