{"id":{"repo_id":"denver","oai_identifier":"oai:digitalcommons.du.edu:etd-1852"},"canonical_url":"https://search.dev.ndltd.org/etd/denver/oai:digitalcommons.du.edu:etd-1852","repository":{"repo_id":"denver","name":"University of Denver","base_url":"https://digitalcommons.du.edu/do/oai/"},"display":{"title":"Avoiding Tough Policy Choices in an Influenza Pandemic: The Role of Kettl's Rocket Science Model in Public Health","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>","abstract_html":"&lt;p&gt;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&#x27;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.&lt;/p&gt;","abstract_has_math":false,"creators":["Lambert, Danny"],"institution":null,"degree_name":"M.A.","degree_level":"Masters Thesis","degree_discipline":null,"degree_department":null,"school":null,"contributors":["Randall Kuhn, Ph.D.","Lisa Conant","Frank Laird"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2010,"date_issued":"2010-01-01T08:00:00Z","date_published":"2010-01-01T08:00:00Z","updated_at":"2026-07-24T02:03:26Z","subjects":["Health","New governance","Policy","Public health","Health Policy","Public Policy"],"languages":["en"],"rights":["<p>Copyright is held by the author. 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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>"]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Avoiding Tough Policy Choices in an Influenza Pandemic: The Role of Kettl's Rocket Science Model in Public Health"]}]}],"canonical_facts":{"dc:contributor":["Randall Kuhn, Ph.D.","Lisa Conant","Frank Laird"],"dc:creator":["Lambert, Danny"],"dc:date.available":["2001-01-01T08:00:00Z"],"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. 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