Journal article

Development of an influenza pandemic decision support tool linking situational analytics to national response policy.

Freya M Shearer, Robert Moss, David J Price, Alexander E Zarebski, Peter G Ballard, Jodie McVernon, Joshua V Ross, James M McCaw

Epidemics: the journal of infectious disease dynamics | Elsevier | Published : 2021


National influenza pandemic plans have evolved substantially over recent decades, as has the scientific research that underpins the advice contained within them. While the knowledge generated by many research activities has been directly incorporated into the current generation of pandemic plans, scientists and policymakers are yet to capitalise fully on the potential for near real-time analytics to formally contribute to epidemic decision-making. Theoretical studies demonstrate that it is now possible to make robust estimates of pandemic impact in the earliest stages of a pandemic using first few hundred household cohort (FFX) studies and algorithms designed specifically for analysing FFX d..

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Awarded by U.S. Army International Technology Center Pacific (ITC-PAC)

Awarded by NHMRC Principal Research Fellowship

Awarded by PRISM2, a NHMRC Centre of Research Excellence

Funding Acknowledgements

This material is based upon work supported by the U.S. Army International Technology Center Pacific (ITC-PAC) [contract numbers W90GQZ-70660019 and W90GQZ-70660020], which supports FMS and PGB. JMcV is supported by a NHMRC Principal Research Fellowship [GNT1117140]. This work was also supported in part by PRISM2, a NHMRC Centre of Research Excellence [GNT1078068]. AEZ is supported by The Oxford Martin Programme on Pandemic Genomics.