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Estimating the contribution of influenza to hospitalisations in New Zealand from 1994 to 2008

Overview of attention for article published in Vaccine, July 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
5 news outlets
policy
1 policy source
twitter
2 X users
facebook
1 Facebook page
bluesky
1 Bluesky user

Readers on

mendeley
39 Mendeley
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Article details
Title
Estimating the contribution of influenza to hospitalisations in New Zealand from 1994 to 2008
Published in
Vaccine, July 2015
DOI 10.1016/j.vaccine.2015.06.080
Pubmed ID
Authors
Abstract

Influenza has a substantially but poorly measured impact on population health. Estimating its true contribution to hospitalisations remains a challenge. We used simple and comprehensive negative binomial regression models with weekly counts of hospitalisations and isolates of influenza A, B and respiratory syncytial virus for the period 1994- 2008. The estimated annual national average number of hospitalisations attributable to influenza was 822.1(95% CI: 815.3, 828.9) for pneumonia and influenza, 1861.3 (95% CI: 1842.9, 1879.7) for respiratory illness, 12.1 (95% CI: 2.6, 21.6) for circulatory illness, 2260.0 (95% CI: 2212.2, 2307.8) for all medical illness and 2419.9 (95% CI: 2356.4, 2483.4) for all causes. The contribution of influenza to total hospitalisations was about nine times larger than indicated by routine discharge data. New Zealanders 80 years of age and older had the highest annual excess rates of influenza-related hospitalisations (327.8 per 100,000); followed by infants under 1 year (244.5 per 100,000). Estimated influenza hospitalisation rates were also marked higher in Pacific (83.3 per 100,000) and Māori (80.0 per 100,000) compared with European/others (58.1 per 100,000). Respiratory illness was the major contributor to all cause hospitalisations attributed to influenza accounting for 77%. Influenza hospitalisations included only a negligible contribution from circulatory illness. These findings support efforts to reduce the impact of influenza, particularly for the most vulnerable population groups highlighted here. Analysis of the cost-effectiveness of such interventions needs to consider these higher modelled estimates of disease impact.

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X Demographics

X Demographics

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 7 18%
Researcher 7 18%
Student > Master 5 13%
Student > Bachelor 4 10%
Student > Postgraduate 4 10%
Other 5 13%
Unknown 7 18%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 14 36%
Pharmacology, Toxicology and Pharmaceutical Science 3 8%
Mathematics 2 5%
Social Sciences 2 5%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 9 23%
Unknown 8 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 50. 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 09 October 2024.
All research outputs
#1,051,179
of 33,779,198 outputs
Outputs from Vaccine
#951
of 19,805 outputs
Outputs of similar age
#9,986
of 301,466 outputs
Outputs of similar age from Vaccine
#15
of 233 outputs
Altmetric has tracked 33,779,198 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 19,805 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.1. This one has done particularly well, scoring higher than 96% 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 301,466 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 233 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.