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University of Denver

Avoiding Tough Policy Choices in an Influenza Pandemic: The Role of Kettl's Rocket Science Model in Public Health

Abstract

dc:description.abstract

<p>The security and social inequality approaches to public health present distinct answers to policy objectives relative to a pandemic. However, each approach leaves us with tough choices between the most valued objectives. I demonstrate how the networked approach, which Kettl's Rocket Science Model (RSM) exemplifies, does not leave us with such choices. Furthermore, I connect the epidemiological concepts public health practitioners apply toward communicable disease pandemics to RSM concepts. Finally, drawing on the disease parameters of a worst-case scenario influenza pandemic, I demonstrate how the networked approach helps public health practitioners expand capacity such that tough choices are unnecessary.</p>

Degree

thesis:*
Name thesis:degree_name
M.A.
Level thesis:degree_level
Masters Thesis
Year dc:date.available
2010

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Lambert, Danny
Contributors dc:contributor
  • Randall Kuhn, Ph.D.
  • Lisa Conant
  • Frank Laird

Subjects

dc:subject × 6

Rights

dc:rights
Statement dc:rights
  • <p>Copyright is held by the author. User is responsible for all copyright compliance.</p>
Language dc:language
en

Identifiers

dc:identifier.*
Repository record dc:identifier
https://digitalcommons.du.edu/etd/853
OAI identifier oai:identifier
oai:digitalcommons.du.edu:etd-1852

Chain of custody

source
Harvested from
University of Denver
Base URL
digitalcommons.du.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Lambert, Danny. Avoiding Tough Policy Choices in an Influenza Pandemic: The Role of Kettl's Rocket Science Model in Public Health. Masters Thesis thesis, 2010. https://digitalcommons.du.edu/etd/853