Health system preparedness - coordination and sharing of computation, models and data

Abstract

Following on the previous chapter of machine learning on the previous chapter of machine learning (ML) advancements for optimisation and planning in global health policy decisions, here we discuss the mechanisms that enable such an approach through the global sharing of data, simulations and compute. This has been done through both institutional and crowd-sourced participation in global health challenges. Motivating a platform which enables trusted contributions and coordination of shared resources. Specifically demonstrating results applied to malaria endemic countries and the COVID-19 pandemic, and how such approaches may be extended towards future epidemic preparedness. Through this work, we aim to envision new approaches and systems to answer future global health challenges.

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