Simulation-based inference for global health decisions
The COVID-19 pandemic has highlighted the importance of in-silico epidemiological modelling in predicting the dynamics of infectious diseases to inform health policy and decision makers about suitable prevention and containment strategies. Work in this setting involves solving challenging inference...
| Main Authors: | , , , , , , , , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
2020
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