Uncertainty and variability in influenza cost‐effectiveness models

@article{Newall2011UncertaintyAV,
  title={Uncertainty and variability in influenza cost‐effectiveness models},
  author={Anthony T. Newall and Paul A. Scuffham},
  journal={Australian and New Zealand Journal of Public Health},
  year={2011},
  volume={35}
}
  • A. NewallP. Scuffham
  • Published 1 December 2011
  • Medicine, Political Science
  • Australian and New Zealand Journal of Public Health
Mogasale and Barendregt performed a cost-effectiveness analysis of influenza vaccination for Australians aged 50-64 years in Australia. A major part of their article was devoted to contrasting their findings with those we had previously published. They concluded that several of the central parameters cannot be estimated with a sufficient degree of certainty to reliably study the cost-effectiveness of influenza vaccination in this group. While we agree that there are several areas of uncertainty… 

References

SHOWING 1-10 OF 12 REFERENCES

Cost Effectiveness of Influenza Vaccination in Older Adults

The estimates of serious outcomes due to influenza and the estimates of vaccine effectiveness against these outcomes were found to have the most influence on cost effectiveness.

Impact of patient characteristics on the risk of influenza/ILI-related complications

Influenza/ILI-related costs are driven by the characteristics that predict complications of influenza, and patients with chronic illness and those with recent acute respiratory events are the most likely to experience complications and hospitalizations.

Cost‐effectiveness of influenza vaccination of people aged 50–64 years in Australia: results are inconclusive

The importance of assumptions in influenza cost‐effectiveness studies based on a range of assumptions is explored and its implications in policy decisions are explored.

Impact of epidemic type A influenza in a defined adult population.

The authors study the occurrence of excess morbidity and mortality among subsets of the adult population of a large prepaid group practice during two epidemics of type A influenza to provide a basis for increasing the precision of clinical and public decision-making regarding the prevention of serious consequences of epidemic influenza.

US flu mortality estimates are based on solid science

Editor—Doshi implies that the use of statistical models to estimate flu related mortality is inappropriate.1 Not so. Epidemiologists rely on statistical models because the International

Methods for current statistical analysis of excess pneumonia-influenza deaths.

In his historical reviews, the sequence of influenza outbreaks in the United States was traced back to the late 19th century, and in analytical studies age differen¬ tials and other factors were investigated.

Estimates of US influenza‐associated deaths made using four different methods

Background  A wide range of methods have been used for estimating influenza‐associated deaths in temperate countries. Direct comparisons of estimates produced by using different models with US