Simulation-Based Inference for Global Health Decisions
Christian Schroeder de Witt, Bradley Gram-Hansen, Nantas Nardelli, Andrew Gambardella, Rob Zinkov, Puneet K. Dokania, N. Siddharth, Ana Belén Espinosa-González, Ara Wardkes Darzi, Torr, P, Atılım Güneş Baydin · Spiral (Imperial College London) · 2020
Simulations in Global Health• Machine learning (ML) has a growing role global health, enabling improvements in health service access and efficiency.• Design and implementation of public health interventions are assisted by epidemiological modeling through computer simulation.• Multi-modal intervention portfolios for endemic diseases have been studied, for example in malaria.• COVID-19 poses similar challenges in the context of a pandemic, for example modeling social distancing measures.