| Title |
Assessment of Local Public Health Workers' Willingness to Respond to Pandemic Influenza through Application of the Extended Parallel Process Model
|
|---|---|
| Published in |
PLOS ONE, July 2009
|
| DOI | 10.1371/journal.pone.0006365 |
| Pubmed ID | |
| Authors |
Daniel J. Barnett, Ran D. Balicer, Carol B. Thompson, J. Douglas Storey, Saad B. Omer, Natalie L. Semon, Steve Bayer, Lorraine V. Cheek, Kerry W. Gateley, Kathryn M. Lanza, Jane A. Norbin, Catherine C. Slemp, Jonathan M. Links |
| Abstract |
Local public health agencies play a central role in response to an influenza pandemic, and understanding the willingness of their employees to report to work is therefore a critically relevant concern for pandemic influenza planning efforts. Witte's Extended Parallel Process Model (EPPM) has been found useful for understanding adaptive behavior in the face of unknown risk, and thus offers a framework for examining scenario-specific willingness to respond among local public health workers. We thus aim to use the EPPM as a lens for examining the influences of perceived threat and efficacy on local public health workers' response willingness to pandemic influenza. |
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 % |
|---|---|---|
| Unknown | 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 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Unknown | 130 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 19% |
| Student > Master | 20 | 15% |
| Researcher | 12 | 9% |
| Student > Bachelor | 10 | 8% |
| Student > Postgraduate | 8 | 6% |
| Other | 27 | 21% |
| Unknown | 29 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 18% |
| Social Sciences | 23 | 18% |
| Psychology | 12 | 9% |
| Nursing and Health Professions | 10 | 8% |
| Agricultural and Biological Sciences | 9 | 7% |
| Other | 19 | 15% |
| Unknown | 34 | 26% |