Date of Award
1-1-2010
Document Type
Masters Thesis
Degree Name
M.A.
Organizational Unit
Josef Korbel School of International Studies
First Advisor
Randall Kuhn, Ph.D.
Second Advisor
Lisa Conant
Third Advisor
Frank Laird
Keywords
Health, New governance, Policy, Public health
Abstract
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.
Publication Statement
Copyright is held by the author. User is responsible for all copyright compliance.
Rights Holder
Danny Lambert
Provenance
Received from ProQuest
File Format
application/pdf
Language
en
File Size
136 p.
Recommended Citation
Lambert, Danny, "Avoiding Tough Policy Choices in an Influenza Pandemic: The Role of Kettl's Rocket Science Model in Public Health" (2010). Electronic Theses and Dissertations. 853.
https://digitalcommons.du.edu/etd/853
Copyright date
2010
Discipline
Public Policy, Public Health