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Volume 23, Number 6—June 2017

Research

Stockpiling Ventilators for Influenza Pandemics

Hsin-Chan Huang1Comments to Author , Ozgur M. Araz, David P. Morton, Gregory P. Johnson, Paul Damien, Bruce Clements, and Lauren Ancel Meyers
Author affiliations: The University of Texas at Austin, Austin, Texas, USA (H.-C. Huang, G.P. Johnson, P. Damien, L.A. Meyers); University of Nebraska, Lincoln, Nebraska, USA (O.M. Araz); University of Nebraska Medical Center, Omaha, Nebraska, USA (O.M. Araz); Northwestern University, Evanston, Illinois, USA (D.P. Morton); Department of State Health Services, Austin (B. Clements); Santa Fe Institute, Santa Fe, New Mexico, USA (L.A. Meyers)

Main Article

Figure 3

Optimal ventilator stockpiles for moderate and severe pandemic scenarios, Texas, USA. The total size of the required stockpile, summed across the central and 8 HSR stockpiles, decreases as risk tolerance (EUD) increases, for both moderate (A) and severe (C) pandemic scenarios. For an EUD of 5 patients (red circles), total stockpiles would be 1,172 (A) and 15,697 (C); optimal allocations to central and regional stockpiles are shown for moderate (B) and severe (D) scenarios. EUD, expected unmet de

Figure 3. Optimal ventilator stockpiles for moderate and severe pandemic scenarios, Texas, USA. The total size of the required stockpile, summed across the central and 8 HSR stockpiles, decreases as risk tolerance (EUD) increases, for both moderate (A) and severe (C) pandemic scenarios. For an EUD of 5 patients (red circles), total stockpiles would be 1,172 (A) and 15,697 (C); optimal allocations to central and regional stockpiles are shown for moderate (B) and severe (D) scenarios. EUD, expected unmet demand; PUD, probability of unmet demand; HSR, health service region.

Main Article

1Current affiliation: Precima, LoyaltyOne US, Inc., Chicago, IL, USA.

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