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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Impact of quadrivalent influenza vaccine on public health and influenza-related costs in Australia
|
|---|---|
| Published in |
BMC Public Health, July 2016
|
| DOI | 10.1186/s12889-016-3297-1 |
| Pubmed ID | |
| Authors |
Aurélien Jamotte, Chui Fung Chong, Andrew Manton, Bérengère Macabeo, Mondher Toumi |
| Abstract |
Annual trivalent influenza vaccines (TIV) containing three influenza strains (A/H1N1, A/H3N2, and one B) have been recommended for the prevention of influenza. However, worldwide co-circulation of two distinct B lineages (Victoria and Yamagata) and difficulties in predicting which lineage will predominate each season have led to the development of quadrivalent influenza vaccines (QIV), which include both B lineages. Our analysis evaluates the public health benefit and associated influenza-related costs avoided which would have been obtained by using QIV rather than TIV in Australia over the period 2002-2012. A static model stratified by age group was used, focusing on people at increased risk of influenza as defined by the Australian vaccination recommendations. B-lineage cross-protection was accounted for. We calculated the potential impact of QIV compared with TIV over the seasons 2002-2012 (2009 pandemic year excluded) using Australian data on influenza circulation, vaccine coverage, hospitalisation and mortality rates as well as unit costs, and international data on vaccine effectiveness, influenza attack rate, GP consultation rate and working days lost. Third-party payer and societal influenza-related costs were estimated in 2014 Australian dollars. Sensitivity analyses were conducted. Using QIV instead of TIV over the period 2002-2012 would have prevented an estimated 68,271 additional influenza cases, 47,537 GP consultations, 3,522 hospitalisations and 683 deaths in the population at risk of influenza. These results translate into influenza-related societal costs avoided of $46.5 million. The estimated impact of QIV was higher for young children and the elderly. The overall impact of QIV depended mainly on vaccine effectiveness and the influenza attack rate attributable to the mismatched B lineage. The broader protection offered by QIV would have reduced the number of influenza infections and its related complications, leading to substantial influenza-related costs avoided. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 2% |
| Unknown | 61 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 23% |
| Student > Master | 14 | 23% |
| Student > Bachelor | 6 | 10% |
| Researcher | 4 | 6% |
| Other | 3 | 5% |
| Other | 4 | 6% |
| Unknown | 17 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 21 | 34% |
| Nursing and Health Professions | 4 | 6% |
| Economics, Econometrics and Finance | 4 | 6% |
| Agricultural and Biological Sciences | 2 | 3% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Other | 9 | 15% |
| Unknown | 20 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 02 October 2018.
All research outputs
#6,169,395
of 22,882,389 outputs
Outputs from BMC Public Health
#6,413
of 14,924 outputs
Outputs of similar age
#105,055
of 364,025 outputs
Outputs of similar age from BMC Public Health
#163
of 356 outputs
Altmetric has tracked 22,882,389 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 14,924 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has gotten more attention than average, scoring higher than 56% 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 364,025 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 356 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.