IInfectious disease modeling methods as tools for informing response to novel influenza viruses of unknown pandemic potential

Manoj Gambhir, Catherine Hope Bozio, Justin O'Hagan, Amra Uzicanin, Lucinda EA Johnson, Matthew Biggerstaff, David L Swerdlow

Research output: Contribution to journalArticleResearchpeer-review

6 Citations (Scopus)

Abstract

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.
Original languageEnglish
Pages (from-to)S11 - S19
Number of pages9
JournalClinical Infectious Diseases
Volume60
DOIs
Publication statusPublished - 2015

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