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Fig. 2 | Infectious Diseases of Poverty

Fig. 2

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

Fig. 2

Overview of the approach to quantitatively define TPPs for novel malaria interventions. A Schematic description of the proposed model-based, quantitative framework to guide malaria product development. Results for applying this framework to guide development of five novel malaria interventions are provided for a range of simulated, true median PfPR2–10 (before intervention deployment), and schematically described in subsequent figure panels. B Global sensitivity analysis for identifying the determinants of intervention impact: colors define intervention specifications, deployment coverage, and health system access levels varied in the analysis; the magnitude of the colored area at different levels of transmission (x-axis) represents the relative importance (y-axis) attributable to factors driving the observed PfPR0–99 reductions following intervention deployment. C Optimization of intervention properties to achieve desired health goals: the heatmap (left panel) displays, for a given intervention property (coverage, efficacy, or half-life), the landscape of minimum required values to achieve various target PfPR0–99 reductions. Each row of the heatmap corresponds to a target of PfPR0–99 reduction and constitutes a minimum profile of the considered intervention characteristic (right panel)

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