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One-way sensitivity analysis of the base case.

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posted on 2017-02-07, 18:32 authored by Evan W. Orenstein, Lauren A. V. Orenstein, Kounandji Diarra, Mahamane Djiteye, Diakaridia Sidibé, Fadima C. Haidara, Moussa F. Doumbia, Fatoumata Diallo, Flanon Coulibaly, Adama M. Keita, Uma Onwuchekwa, Ibrahima Teguete, Milagritos D. Tapia, Samba O. Sow, Myron M. Levine, Richard Rheingans

Each input variable is evaluated on a separate curve. The X-axis shows the percent change in the input variable from its baseline value (set at 100%), and the Y-axis shows the cost per DALY saved (left) and the relative change in the cost-effectiveness ratio from its initial value (right). Moving down in the Y-axis indicates a lower cost per DALY, i.e. a more efficient intervention. The greater the slope of each curve, the more sensitive the baseline model is to changes in that variable. The 7 most sensitive variables are depicted here.

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