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Fig. 5 | Infectious Diseases of Poverty

Fig. 5

From: Leveraging mathematical models of disease dynamics and machine learning to improve development of novel malaria interventions

Fig. 5

Estimated optimal intervention TPPs for immunological interventions. The heatmaps in panels (A), (C) and (E) display, for each intervention property (coverage, efficacy, or half-life), the landscape of minimum required values to achieve various target PfPR0–99 reductions (y-axis) across different simulated transmission settings (true PfPR2–10 rounded values, x-axis). Each row of the heatmap corresponds to a target of PfPR0–99 reduction and constitutes the minimum required profile of the considered intervention. For a health goal of 70% PfPR0–99 reduction (dotted line on each heatmap), panels (B), (D), and (F) present in detail how the minimum profile changes with transmission intensity. Each intervention characteristic was minimized in turn, while keeping other characteristics fixed (values marked on each panel where c = coverage, e = efficacy, and h = half-life). The simulated access to treatment, corresponding to a probability of seeking care within 5 days, was 25%. TPP = Target Product Profiles, mos = months

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