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Air pollution, temperature and pediatric influenza in Brisbane, Australia

Overview of attention for article published in Environment International, August 2013
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

news
2 news outlets
policy
1 policy source

Citations

dimensions_citation
111 Dimensions

Readers on

mendeley
95 Mendeley
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Title
Air pollution, temperature and pediatric influenza in Brisbane, Australia
Published in
Environment International, August 2013
DOI 10.1016/j.envint.2013.06.022
Pubmed ID
Authors

Zhiwei Xu, Wenbiao Hu, Gail Williams, Archie C.A. Clements, Haidong Kan, Shilu Tong

Abstract

Previous studies have demonstrated the importance of weather variables in influencing the incidence of influenza. However, the role of air pollution is often ignored in identifying the environmental drivers of influenza. This research aims to examine the impacts of air pollutants and temperature on the incidence of pediatric influenza in Brisbane, Australia. Lab-confirmed daily data on influenza counts among children aged 0-14years in Brisbane from 2001 January 1st to 2008 December 31st were retrieved from Queensland Health. Daily data on maximum and minimum temperatures for the same period were supplied by the Australian Bureau of Meteorology. Winter was chosen as the main study season due to it having the highest pediatric influenza incidence. Four Poisson log-linear regression models, with daily pediatric seasonal influenza counts as the outcome, were used to examine the impacts of air pollutants (i.e., ozone (O3), particulate matter≤10μm (PM10) and nitrogen dioxide (NO2)) and temperature (using a moving average of ten days for these variables) on pediatric influenza. The results show that mean temperature (Relative risk (RR): 0.86; 95% Confidence Interval (CI): 0.82-0.89) was negatively associated with pediatric seasonal influenza in Brisbane, and high concentrations of O3 (RR: 1.28; 95% CI: 1.25-1.31) and PM10 (RR: 1.11; 95% CI: 1.10-1.13) were associated with more pediatric influenza cases. There was a significant interaction effect (RR: 0.94; 95% CI: 0.93-0.95) between PM10 and mean temperature on pediatric influenza. Adding the interaction term between mean temperature and PM10 substantially improved the model fit. This study provides evidence that PM10 needs to be taken into account when evaluating the temperature-influenza relationship. O3 was also an important predictor, independent of temperature.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Canada 1 1%
Unknown 93 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 24%
Student > Master 16 17%
Student > Ph. D. Student 13 14%
Student > Bachelor 7 7%
Student > Postgraduate 4 4%
Other 13 14%
Unknown 19 20%
Readers by discipline Count As %
Medicine and Dentistry 20 21%
Environmental Science 15 16%
Agricultural and Biological Sciences 5 5%
Social Sciences 3 3%
Immunology and Microbiology 3 3%
Other 23 24%
Unknown 26 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 23 April 2020.
All research outputs
#1,891,802
of 25,371,288 outputs
Outputs from Environment International
#945
of 5,183 outputs
Outputs of similar age
#15,990
of 210,071 outputs
Outputs of similar age from Environment International
#9
of 47 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,183 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one has done well, scoring higher than 81% 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 210,071 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 92% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.