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Dove Medical Press

Public health measures during an anticipated influenza pandemic: Factors influencing willingness to comply

Overview of attention for article published in Risk Management and Healthcare Policy, January 2009
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)

Mentioned by

policy
1 policy source
twitter
3 X users
patent
1 patent

Citations

dimensions_citation
81 Dimensions

Readers on

mendeley
121 Mendeley
Title
Public health measures during an anticipated influenza pandemic: Factors influencing willingness to comply
Published in
Risk Management and Healthcare Policy, January 2009
DOI 10.2147/rmhp.s4810
Pubmed ID
Authors

Melanie Taylor, Beverley Raphael, Margo Barr, Kingsley Agho, Garry Stevens, Louisa Jorm

Abstract

This research assessed factors associated with willingness to comply with vaccination, isolation, and face mask wearing during an anticipated influenza pandemic. Data were collected from 2081 adults (16+) using a module of questions incorporated into the NSW Health Adult Population Health Survey. High levels of willingness to comply were reported with 73% either very or extremely willing to receive vaccination, 67% willing to isolate themselves, 58% willing to wear a face mask, and 48% willing to comply with all three behaviors. Further analysis indicated concern for self and family and higher levels of education were associated with high levels of willingness to comply. Younger people (16-24) were the least willing to comply; especially with wearing a face mask. Those with children reported higher levels of willingness to receive vaccination, and respondents who speak a language other than English at home were less willing to isolate themselves or comply with all behaviors. These findings provide a baseline measure of anticipated public compliance with key public health behaviors in the event of an influenza pandemic in the Australian population, and help to identify groups that may be more resistant to individual measures and may require additional attention in terms of risk communication strategies or health education.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Singapore 1 <1%
Unknown 120 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 20 17%
Student > Master 15 12%
Researcher 13 11%
Student > Ph. D. Student 10 8%
Other 8 7%
Other 30 25%
Unknown 25 21%
Readers by discipline Count As %
Medicine and Dentistry 21 17%
Psychology 17 14%
Social Sciences 15 12%
Nursing and Health Professions 8 7%
Agricultural and Biological Sciences 7 6%
Other 23 19%
Unknown 30 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 October 2023.
All research outputs
#4,248,246
of 25,639,676 outputs
Outputs from Risk Management and Healthcare Policy
#128
of 737 outputs
Outputs of similar age
#22,817
of 184,463 outputs
Outputs of similar age from Risk Management and Healthcare Policy
#1
of 2 outputs
Altmetric has tracked 25,639,676 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 737 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 10.0. This one has done well, scoring higher than 82% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 184,463 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them