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Infectious Disease Modeling Methods as Tools for Informing Response to Novel Influenza Viruses of Unknown Pandemic Potential
Author(s) -
Manoj Gambhir,
Catherine H. Bozio,
Justin J. O’Hagan,
Amra Uzicanin,
Lucinda E. Johnson,
Matthew Biggerstaff,
David L. Swerdlow
Publication year - 2015
Publication title -
clinical infectious diseases
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.44
H-Index - 336
eISSN - 1537-6591
pISSN - 1058-4838
DOI - 10.1093/cid/civ083
Subject(s) - pandemic , public health , infectious disease (medical specialty) , medicine , influenza pandemic , ask price , pandemic influenza , work (physics) , disease , health care , management science , covid-19 , risk analysis (engineering) , data science , public relations , computer science , nursing , pathology , political science , mechanical engineering , economy , engineering , economics , law
The rising importance of infectious disease modeling makes this an appropriate time for a guide for public health practitioners tasked with preparing for, and responding to, an influenza pandemic. We list several questions that public health practitioners commonly ask about pandemic influenza and match these with analytical methods, giving details on when during a pandemic the methods can be used, how long it might take to implement them, and what data are required. Although software to perform these tasks is available, care needs to be taken to understand: (1) the type of data needed, (2) the implementation of the methods, and (3) the interpretation of results in terms of model uncertainty and sensitivity. Public health leaders can use this article to evaluate the modeling literature, determine which methods can provide appropriate evidence for decision-making, and to help them request modeling work from in-house teams or academic groups.

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