Model answers or trivial pursuits? The role of mathematical models in influenza pandemic preparedness planning
Author(s) -
McVer J,
McCaw CT,
Mathews JD
Publication year - 2007
Publication title -
influenza and other respiratory viruses
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.743
H-Index - 57
eISSN - 1750-2659
pISSN - 1750-2640
DOI - 10.1111/j.1750-2659.2007.00008.x
Subject(s) - pandemic , preparedness , influenza pandemic , outbreak , influenza a virus subtype h5n1 , pandemic influenza , psychological intervention , covid-19 , virology , computer science , geography , operations research , political science , biology , infectious disease (medical specialty) , medicine , virus , disease , mathematics , pathology , law , psychiatry
The panzootic of H5N1 influenza in birds has raised concerns that the virus will mutate to spread more readily in people, leading to a human pandemic. Mathematical models have been used to interpret past pandemics and outbreaks, and to thus model possible future pandemic scenarios and interventions. We review historical influenza outbreak and transmission data, and discuss the way in which modellers have used such sources to inform model structure and assumptions. We suggest that urban attack rates in the 1918–1919 pandemic were constrained by prior immunity, that R 0 for influenza is higher than often assumed, and that control of any future pandemic could be difficult in the absence of significant prior immunity. In future, modelling assumptions, parameter estimates and conclusions should be tested against as many relevant data sets as possible. To this end, we encourage researchers to access FluWeb, an on‐line influenza database of historical pandemics and outbreaks.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom